Siegfried Selberherr | Nanotechnology and Materials Science | Innovative Research Award

Published on by New Scientists

Innovative Research Award

Siegfried Selberherr
Researcher Siegfried Selberherr
Affiliation Vienna University of Technology
Country Austria
Scopus ID 8840302400
Documents 997
Citations 9,008
h-index 44
Subject Area Nanotechnology and Materials Science
Event New Scientists Awards
ORCID 0000-0002-5583-6177
Google Scholar IrK5GoYAAAAJ

Siegfried Selberherr

Vienna University of Technology, Austria

Siegfried Selberherr is an Austrian researcher affiliated with Vienna University of Technology, with a scholarly profile spanning semiconductor technology, microelectronics, nanotechnology, and materials-related research. His academic record includes 997 indexed documents, 9,008 citations, and an h-index of 44 according to the supplied Scopus profile information.[1] His work has contributed to the development and analysis of computational approaches relevant to semiconductor devices and integrated electronic systems.

Abstract

This article provides an academic overview of Siegfried Selberherr’s research profile in areas associated with nanotechnology, materials science, semiconductor engineering, and microelectronics. His documented scholarly record includes a substantial body of indexed publications and a significant citation record. The profile is presented using bibliographic information and researcher identifiers supplied through established scholarly platforms, including Scopus, ORCID, and Google Scholar.[1][2][3]

Keywords

Siegfried Selberherr, Innovative Research Award, Nanotechnology, Materials Science, Semiconductor Technology, Microelectronics, Integrated Circuits, Device Simulation, Vienna University of Technology, Austria.

Introduction

Nanotechnology and semiconductor engineering rely on advances in materials, device physics, computational modeling, and electronic-system design. Research in these fields has supported the development of increasingly complex semiconductor structures and integrated circuits. Selberherr’s scholarly work is associated with this broader research environment, particularly through computational and physical approaches to semiconductor device analysis and technology.[4]

Research Profile

The supplied bibliographic profile identifies Siegfried Selberherr with Vienna University of Technology in Austria and associates his research primarily with Nanotechnology and Materials Science. The Scopus record supplied for this article lists 997 documents, 9,008 citations, and an h-index of 44.[1] His ORCID identifier provides a persistent digital identifier for distinguishing his scholarly record from those of other researchers.[2]

  • Affiliation: Vienna University of Technology
  • Country: Austria
  • Scopus Author ID: 8840302400
  • Documents: 997
  • Citations: 9,008
  • h-index: 44
  • Subject Area: Nanotechnology and Materials Science

Research Contributions

Selberherr’s research is associated with semiconductor device simulation, microelectronics, integrated-circuit technology, and computational methods for analyzing semiconductor structures. His research activities have addressed the relationship between physical device behavior and computational modeling, an area that is important for understanding and designing advanced electronic components.[4]

The broader significance of such research lies in the use of mathematical and computational techniques to examine semiconductor processes and device characteristics. These approaches provide researchers and engineers with methods for studying technological parameters before or alongside experimental implementation.

Publications

Siegfried Selberherr’s publication record is documented through international scholarly indexing services. The supplied Scopus profile lists 997 documents, while the associated Google Scholar profile provides an additional platform for discovering publications and citation information.[1][3]

  • Research publications related to semiconductor technology and device simulation.
  • Scholarly work associated with microelectronics and integrated-circuit research.
  • Research outputs discoverable through international academic indexing and citation platforms.

Research Impact

Citation indicators are commonly used as quantitative measures of scholarly visibility, although they do not by themselves establish research quality or practical significance. The supplied Scopus record reports 9,008 citations and an h-index of 44 for Selberherr’s author profile.[1] These metrics provide bibliometric evidence of the extent to which his indexed publications have been cited within the scholarly literature.

His persistent ORCID identifier and Google Scholar profile also facilitate identification and discovery of his academic outputs across research information systems.[2][3]

Award Suitability

The Innovative Research Award is presented within the New Scientists Awards framework as an academic recognition category. Selberherr’s supplied research profile provides several documented indicators relevant to scholarly recognition, including an extensive indexed publication record, citation activity, an h-index of 44, and a research focus connected with Nanotechnology and Materials Science.[1] These indicators can be considered alongside the detailed research record and other criteria used by the relevant award process.

The information presented here is descriptive rather than a substitute for an independent assessment of individual publications, research originality, methodological contribution, or broader scientific outcomes.

Conclusion

Siegfried Selberherr’s academic profile reflects extensive scholarly activity in fields associated with semiconductor technology, microelectronics, nanotechnology, and materials science. The supplied bibliometric record reports 997 documents, 9,008 citations, and an h-index of 44, while ORCID and Google Scholar provide additional mechanisms for identifying and accessing his scholarly record.[1][2][3]

References

  1. Elsevier. (n.d.). Scopus author details: Siegfried Selberherr, Author ID 8840302400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=8840302400
  2. ORCID. (n.d.). ORCID record: Siegfried Selberherr.
    https://orcid.org/0000-0002-5583-6177
  3. Google Scholar. (n.d.). Scholar profile: Siegfried Selberherr.
    https://scholar.google.at/citations?hl=en&user=IrK5GoYAAAAJ
  4. Selberherr, S. (1984). Analysis and Simulation of Semiconductor Devices.
    https://doi.org/10.1007/978-3-7091-8750-0
  5. New Scientists Awards. (n.d.). New Scientists Awards. Academic research recognition platform.
    https://newscientists.net/

Hussein Ali Ahmed Ghanim | Artificial Intelligence | Innovative Research Award

Published on by New Scientists

Innovative Research Award

        Hussein Ali Ahmed                        Ghanim
Author Hussein Ali Ahmed Ghanim
Affiliation University of Kassala
Country Sudan
ORCID ID 0009-0008-0639-967X
Subject Area Artificial Intelligence
Event New Scientists Awards

Hussein Ali Ahmed Ghanim

University of Kassala, Sudan

Hussein Ali Ahmed Ghanim is an academic researcher affiliated with the University of Kassala in Sudan, with a stated research area in Artificial Intelligence. His academic profile is associated with contemporary developments in computational methods, intelligent systems, machine learning, and data-driven technologies. The researcher is also identified through an ORCID record, providing a persistent identifier for distinguishing scholarly work and research activities.[1]

Abstract

This academic recognition profile presents Hussein Ali Ahmed Ghanim, a researcher affiliated with the University of Kassala, Sudan, whose stated subject area is Artificial Intelligence. The profile summarizes the available academic information concerning his institutional affiliation, research specialization, researcher identification, and potential relevance to an Innovative Research Award. ORCID provides a persistent digital identifier intended to distinguish researchers and connect them with their scholarly contributions.[1]

Keywords

Artificial Intelligence, Machine Learning, Intelligent Systems, Computational Research, University of Kassala, Sudan, Research Innovation, Scholarly Communication, Innovative Research Award, New Scientists Awards.

Introduction

Artificial Intelligence is a multidisciplinary field concerned with computational systems capable of performing tasks that ordinarily require aspects of human intelligence, including learning, reasoning, perception, classification, and decision-making. Current research encompasses machine learning, deep learning, natural language processing, computer vision, intelligent agents, optimization, and data-driven modelling. Scholarly research in these areas contributes to the development and evaluation of computational techniques across scientific and applied domains.[2]

Within this broader research environment, Hussein Ali Ahmed Ghanim is associated with the University of Kassala and identifies Artificial Intelligence as his subject area. His ORCID identifier provides a persistent mechanism for linking his scholarly identity with research outputs and professional activities.[1]

Research Profile

The available profile information identifies Hussein Ali Ahmed Ghanim as a researcher at the University of Kassala in Sudan. His stated academic specialization is Artificial Intelligence, placing his research within a rapidly developing area of computer science and interdisciplinary computational research.

  • Researcher: Hussein Ali Ahmed Ghanim
  • Institution: University of Kassala
  • Country: Sudan
  • Subject Area: Artificial Intelligence
  • ORCID: 0009-0008-0639-967X

ORCID is widely used within scholarly communication to provide persistent identifiers for researchers and improve the attribution and discoverability of research contributions. The ORCID record associated with Hussein Ali Ahmed Ghanim can therefore serve as a reference point for distinguishing the researcher from individuals with similar names.[1]

Research Contributions

Research in Artificial Intelligence can involve the design, implementation, testing, and evaluation of computational systems that learn from data or perform tasks associated with intelligent behavior. Depending on the specific research problem, contributions may involve algorithms, predictive models, optimization procedures, knowledge representation, automated decision-making, or applications of intelligent technologies.

Because detailed publication-level information was not supplied for this profile, specific research findings or individual technical contributions are not attributed here without supporting bibliographic evidence. This approach distinguishes the documented subject specialization from claims about particular research outcomes.

Publications

Publication records are an important component of academic evaluation because they provide evidence of research dissemination through scholarly communication channels. For Hussein Ali Ahmed Ghanim, publication information should be verified through authoritative academic indexing services or the researcher’s maintained scholarly profiles before individual papers, citation counts, journal details, or DOI metadata are attributed to the researcher.

  • ORCID provides a persistent researcher identifier for scholarly attribution.[1]
  • Scopus can be used to verify indexed author and publication records where an author profile is available.[3]
  • Google Scholar can provide an additional discovery route for scholarly publications and citations when a verified author profile is available.[4]

Research Impact

Academic research impact may be considered through several complementary indicators, including the quality and relevance of publications, citation activity, research collaborations, adoption of findings, and contribution to the advancement of a field. Bibliometric databases can assist with measuring aspects of scholarly visibility, although citation indicators should be interpreted in relation to disciplinary context and the underlying publication record.[3]

For a researcher working in Artificial Intelligence, research impact may also arise through the development or evaluation of computational methods, datasets, software, models, or applications. A complete assessment should therefore consider qualitative research contributions alongside quantitative bibliometric indicators.

Award Suitability

The Innovative Research Award is presented within the context of the New Scientists Awards. Hussein Ali Ahmed Ghanim’s stated specialization in Artificial Intelligence provides a relevant disciplinary basis for consideration within an innovation-focused research recognition program. The assessment of award suitability should ultimately be based on the applicable nomination criteria, documented research outputs, originality, scholarly contribution, and evidence supplied during the formal evaluation process.[5]

Artificial Intelligence is an active research field in which methodological innovation and interdisciplinary applications are important areas of scholarly development. Recognition within such a field may appropriately consider the originality and significance of a candidate’s documented research rather than relying solely on bibliometric measures.

Conclusion

Hussein Ali Ahmed Ghanim is affiliated with the University of Kassala in Sudan and has identified Artificial Intelligence as his research subject area. His academic identity is supported by an ORCID identifier, which provides a persistent mechanism for scholarly identification and attribution.[1]

The profile provides an academic basis for consideration for the Innovative Research Award while avoiding unsupported claims concerning specific publications or research outcomes. Further evaluation can incorporate verified publication records, research findings, scholarly impact, and the formal criteria established by the New Scientists Awards program.

References

  1. ORCID. (n.d.). ORCID record: Hussein Ali Ahmed Ghanim. ORCID.
    https://orcid.org/0009-0008-0639-967X
  2. Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.
    https://aima.cs.berkeley.edu/
  3. Elsevier. (n.d.). Scopus Author Search and Abstract & Citation Database. Scopus.
    https://www.scopus.com/
  4. Google. (n.d.). Google Scholar. Google Scholar.
    https://scholar.google.com/
  5. New Scientists Awards. (n.d.). New Scientists Awards — Official Award Website.
    https://newscientists.net/

Leyla Akbulut | Renewable Energy | Best Review Paper Award

Published on by New Scientists

Best Review Paper Award

             Leyla Akbulut
Researcher Leyla Akbulut
Affiliation Alanya Alaaddin Keykubat University
Country Turkey
Scopus ID 57219160240
Documents 10
Citations 38
h-index 3
Subject Area Renewable Energy
Event New Scientists Awards
ORCID 0000-0003-2264-4555
Google Scholar RIO8E9wAAAAJ

Leyla Akbulut

Alanya Alaaddin Keykubat University, Turkey

Leyla Akbulut is an academic researcher affiliated with Alanya Alaaddin Keykubat University in Turkey, with a research profile associated with the field of Renewable Energy. Her scholarly record includes 10 indexed documents, 38 citations, and an h-index of 3 according to the supplied academic profile information. These indicators provide a quantitative overview of her publication activity and citation visibility within the scholarly literature.[1]

Abstract

This article provides an academic overview of Leyla Akbulut’s research profile in Renewable Energy and presents the scholarly indicators supplied for consideration in connection with the Best Review Paper Award. The profile encompasses institutional affiliation, indexed research documents, citations, h-index, and persistent researcher identifiers. Review papers play an important role in synthesizing existing evidence, identifying research trends, and providing structured perspectives on developing scientific fields. In renewable-energy research, systematic assessment of existing knowledge can support the evaluation of technologies, resources, policies, and future research directions.[2]

Keywords

Leyla Akbulut, Best Review Paper Award, Renewable Energy, Review Papers, Sustainable Energy, Energy Research, Academic Research, Alanya Alaaddin Keykubat University, Turkey.

Introduction

Renewable energy research encompasses the development, assessment, integration, and optimization of energy resources that can contribute to a lower-carbon energy system. Scientific review literature is particularly relevant to this field because renewable-energy technologies and associated policies develop across multiple disciplines. Comprehensive reviews can organize findings from individual studies, identify areas of agreement and uncertainty, and establish directions for subsequent investigation.[3]

The academic profile of Leyla Akbulut is situated within this broader research context. Her affiliation with Alanya Alaaddin Keykubat University and her indexed research record provide a basis for describing her scholarly activity in Renewable Energy. Persistent identifiers such as ORCID also assist in distinguishing researchers and connecting scholarly outputs across publication and indexing systems.[4]

Research Profile

Leyla Akbulut is affiliated with Alanya Alaaddin Keykubat University in Turkey and is identified with Renewable Energy as a principal subject area in the supplied research information. Her Scopus Author ID is 57219160240. The supplied profile records 10 documents, 38 citations, and an h-index of 3. These metrics describe publication output and citation activity as represented by the specified scholarly indexing profile.[1]

  • Researcher: Leyla Akbulut
  • Institution: Alanya Alaaddin Keykubat University
  • Country: Turkey
  • Subject Area: Renewable Energy
  • Scopus Author ID: 57219160240
  • Documents: 10
  • Citations: 38
  • h-index: 3

Research Contributions

Research contributions in Renewable Energy may include the evaluation of energy technologies, resource assessment, energy-system analysis, sustainability assessment, and synthesis of evidence from existing scientific literature. Review-oriented research is particularly valuable when a subject contains a rapidly expanding body of publications because structured synthesis can help researchers identify methodological patterns, unresolved questions, and emerging areas of investigation.[2]

Within this context, Akbulut’s academic record can be considered through the combination of publication activity and citation indicators. The available profile information establishes an indexed research presence but does not, by itself, establish the methodological quality or conclusions of individual publications. Detailed assessment of specific review papers should therefore consider factors such as scope, literature-search methodology, synthesis quality, transparency, originality, and relevance to the field.[3]

Publications

The supplied academic profile reports 10 research documents associated with Leyla Akbulut. Bibliographic records and citation information can be consulted through the researcher’s Scopus and Google Scholar profiles. Because publication records can change as databases are updated, individual article-level information should be verified against the corresponding scholarly databases before being used for formal bibliometric evaluation.[1][5]

  • Scopus documents reported: 10
  • Scopus citations reported: 38
  • Reported h-index: 3
  • Research area represented in the supplied profile: Renewable Energy

Research Impact

Citation counts and h-index values are commonly used as bibliometric indicators of scholarly visibility, although they should be interpreted in relation to disciplinary practices, publication age, database coverage, and the characteristics of individual research outputs. The supplied profile reports 38 citations and an h-index of 3 for Leyla Akbulut. These figures provide quantitative context but should not be treated as a standalone measure of research quality or societal impact.[1]

In Renewable Energy, research impact may additionally be reflected through contributions to scientific synthesis, technology assessment, policy understanding, methodological development, and the practical interpretation of evidence. A complete assessment of impact would therefore require examination of individual publications and their documented influence beyond citation counts.[3]

Award Suitability

The Best Review Paper Award is intended to recognize scholarly work that demonstrates strong synthesis and critical evaluation of existing research. Relevant assessment dimensions may include the clarity of the research question, comprehensiveness of the literature considered, methodological transparency, critical analysis, organization of evidence, originality of synthesis, and contribution to future research. These criteria are particularly relevant to renewable-energy reviews because the field encompasses diverse technologies and rapidly developing evidence bases.

Leyla Akbulut’s documented affiliation, research specialization, indexed publication activity, and citation profile provide an academic basis for consideration within a research-recognition context. However, formal award decisions should be based on the specific review paper submitted and the applicable evaluation criteria of the New Scientists Awards rather than bibliometric indicators alone.[5]

Conclusion

Leyla Akbulut is an academic researcher affiliated with Alanya Alaaddin Keykubat University in Turkey and associated with the field of Renewable Energy. The supplied scholarly profile records 10 documents, 38 citations, and an h-index of 3. Her research profile can be considered in the context of review-based scholarship, where systematic synthesis and critical interpretation of existing evidence are important components of scientific progress. The Best Review Paper Award provides a recognition framework in which the quality and contribution of an individual review paper can be assessed alongside the broader academic profile of the researcher.

References

  1. Elsevier. (n.d.). Scopus author details: Leyla Akbulut, Author ID 57219160240. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57219160240
  2. International Energy Agency. (n.d.). Renewables and renewable energy research resources. IEA.
    https://www.iea.org/topics/renewables
  3. IPCC. (2022). Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change.
    https://doi.org/10.1017/9781009157926
  4. ORCID. (n.d.). ORCID record: Leyla Akbulut. ORCID.
    https://orcid.org/0000-0003-2264-4555
  5. Google Scholar. (n.d.). Google Scholar profile: Leyla Akbulut. Google Scholar.
    https://scholar.google.com/citations?user=RIO8E9wAAAAJ&hl=en&oi=ao

Mustafa Oksuz | Nanotechnology | Innovative Research Award

Published on by New Scientists

 

Innovative Research Award

          Mustafa Oksuz
Researcher Mustafa Oksuz
Affiliation Yalova University
Country Turkey
Scopus ID 6602829214
Documents 37
Citations 462
h-index 12
Subject Area Nanotechnology
Event New Scientists Awards
ORCID 0000-0002-1171-3167
Google Scholar 7HZwZWAAAAAJ

Mustafa Oksuz

Yalova University, Turkey

Mustafa Oksuz is a researcher affiliated with Yalova University in Turkey whose documented scholarly profile is associated with the field of Nanotechnology. The supplied academic record indicates 37 research documents, 462 citations, and an h-index of 12. These indicators provide a quantitative overview of his publication activity and citation visibility in scholarly indexing systems.[1]

Abstract

This academic recognition profile presents the research record of Mustafa Oksuz, an academic affiliated with Yalova University, Turkey. His stated research area is Nanotechnology, a multidisciplinary field involving the design, characterization, and application of materials and structures at nanoscale dimensions. The available profile records 37 documents, 462 citations, and an h-index of 12. These bibliometric indicators offer a concise measure of publication activity and citation-based research visibility.[1]

Keywords

Mustafa Oksuz, Innovative Research Award, Yalova University, Turkey, Nanotechnology, Materials Science, Scientific Research, Scopus, ORCID, Google Scholar.

Introduction

Nanotechnology encompasses scientific and engineering research focused on phenomena and applications occurring at nanoscale dimensions. The field intersects with materials science, physics, chemistry, engineering, biotechnology, and related disciplines. Research in nanotechnology can involve the synthesis, characterization, modeling, and application of nanoscale materials and structures. Scholarly databases such as Scopus and Google Scholar provide mechanisms for identifying publications and assessing citation activity within this broad research landscape.[2]

Within this context, Mustafa Oksuz is associated with Yalova University and has a documented academic profile in Nanotechnology. His researcher identifiers, including ORCID and Scopus Author ID, provide persistent mechanisms for distinguishing his scholarly record from those of researchers with similar names.[3]

Research Profile

The supplied research profile identifies Mustafa Oksuz as an academic researcher at Yalova University in Turkey. His principal subject area is Nanotechnology. The available bibliometric information comprises 37 documents, 462 citations, and an h-index of 12. These figures should be understood as database-dependent indicators that can change as publications are indexed, corrected, or cited over time.[1]

  • Affiliation: Yalova University
  • Country: Turkey
  • Subject Area: Nanotechnology
  • Scopus Author ID: 6602829214
  • Documents: 37
  • Citations: 462
  • h-index: 12

Research Contributions

Research contributions in Nanotechnology frequently involve the development or characterization of materials and structures whose properties differ from their larger-scale counterparts. Such work may support applications across electronics, energy, medicine, environmental technologies, and advanced manufacturing. The specific scope of an individual researcher’s contributions should be assessed from the underlying publications rather than from bibliometric indicators alone.[4]

For Mustafa Oksuz, the documented research profile provides evidence of sustained scholarly publication activity within a nanotechnology-related academic context. His indexed output and citation record can be used as quantitative components of an academic assessment, while the content and significance of individual publications require examination of the relevant peer-reviewed literature.[1]

Publications

The supplied profile reports 37 documents associated with Mustafa Oksuz. A complete publication assessment should consider article type, journal or conference venue, authorship position, subject relevance, peer-review status, citation distribution, and the methodological contribution of each work. Bibliographic databases can provide an initial record of publications, but individual publication metadata should be verified against the original scholarly sources where necessary.[1]

  • 37 documents are reported in the supplied Scopus profile data.
  • The publication record is associated with Nanotechnology.
  • Publication discovery can also be supported through the researcher’s Google Scholar profile.

Research Impact

The supplied profile records 462 citations and an h-index of 12. Citation counts provide one quantitative indicator of how frequently a researcher’s indexed publications have been referenced by subsequent scholarly work. However, citation metrics vary between databases and disciplines and should therefore be interpreted alongside publication quality, research relevance, methodological rigor, and broader academic or societal influence.[2]

The presence of persistent researcher identifiers also improves the traceability of scholarly output. ORCID provides a persistent identifier for researchers, while Scopus and Google Scholar offer complementary mechanisms for discovering publications and citation information.[3]

Award Suitability

The Innovative Research Award is presented in the context of the New Scientists Awards. Mustafa Oksuz’s supplied academic indicators—including an affiliation with Yalova University, a Nanotechnology research focus, 37 reported documents, 462 citations, and an h-index of 12—provide relevant evidence for an academic recognition profile.[1]

Bibliometric indicators alone do not establish the quality or originality of research. A comprehensive award assessment may additionally consider the novelty of research findings, methodological contribution, publication quality, relevance to the field, independent scholarly recognition, and the documented significance of individual research outputs. Accordingly, the information presented here should be regarded as a profile summary rather than an independent adjudication of award eligibility.[5]

Conclusion

Mustafa Oksuz is affiliated with Yalova University, Turkey, and is identified in the supplied academic record as a researcher in Nanotechnology. The reported record of 37 documents, 462 citations, and an h-index of 12 provides a measurable overview of his scholarly activity and citation visibility. His ORCID, Scopus, and Google Scholar profiles provide additional mechanisms for identifying and reviewing his academic output. Taken together, these indicators form a relevant foundation for an academic recognition profile associated with the Innovative Research Award.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Mustafa Oksuz, Author ID 6602829214. Scopus.
    https://www.scopus.com/pages/authors/6602829214
  2. Google Scholar. (n.d.). Google Scholar profile: Mustafa Oksuz.
    https://scholar.google.com/citations?user=7HZwZWAAAAAJ&hl=en&oi=ao
  3. ORCID. (n.d.). ORCID record: Mustafa Oksuz.
    https://orcid.org/0000-0002-1171-3167
  4. Nature Nanotechnology. (2010). Relevant nanotechnology literature and research context. DOI:
    https://doi.org/10.1038/nnano.2010.192
  5. New Scientists Awards. (n.d.). New Scientists Awards — Official Website and Award Information.
    https://newscientists.net/

Nusrat Shaheen | Renewable Energy Storage Solutions | Best Researcher Award

Published on by New Scientists

Best Researcher Award

           Nusrat Shaheen
Researcher Nusrat Shaheen
Affiliation Qilu College of Technology
Country China
Scopus ID 57111696900
Documents 48
Citations 1,482
h-index 20
Subject Area Renewable Energy Storage Solutions
Event New Scientists Awards
Google Scholar aXZlgu4AAAAJ

Nusrat Shaheen

Qilu College of Technology, China

Nusrat Shaheen is a researcher affiliated with Qilu College of Technology in China, with a research profile associated with Renewable Energy Storage Solutions. The available bibliographic information records 48 documents, 1,482 citations, and an h-index of 20 in the supplied Scopus profile data. These indicators provide quantitative measures of publication activity and citation visibility within indexed scholarly literature.[1]

Abstract

This academic recognition profile presents the research record of Nusrat Shaheen, affiliated with Qilu College of Technology in China. The supplied bibliometric data indicate 48 scholarly documents, 1,482 citations, and an h-index of 20. The research profile is associated with Renewable Energy Storage Solutions, an interdisciplinary area relevant to the development of technologies for storing energy generated from renewable sources. Bibliographic databases such as Scopus and Google Scholar provide mechanisms for documenting scholarly publications and citation activity.[1][2]

Keywords

Nusrat Shaheen, Best Researcher Award, Renewable Energy Storage Solutions, Renewable Energy, Energy Storage, Qilu College of Technology, China, Scopus, Google Scholar, Research Impact.

Introduction

The transition toward renewable energy systems requires technologies capable of managing variable electricity generation and balancing supply with demand. Energy-storage technologies are therefore an important component of modern energy infrastructure, with batteries and other storage approaches providing different combinations of capacity, efficiency, response time, cost, and operational characteristics.[3]

Research in Renewable Energy Storage Solutions encompasses materials, electrochemical systems, battery technologies, power-management approaches, system integration, and other methods intended to improve the reliability and flexibility of renewable energy deployment. The field draws upon multiple areas of engineering, chemistry, physics, materials science, and energy systems research.

Research Profile

The supplied academic profile identifies Nusrat Shaheen as being affiliated with Qilu College of Technology in China. The research subject area is listed as Renewable Energy Storage Solutions. The Scopus author identifier supplied for the profile is 57111696900, enabling the research record to be distinguished within the Scopus author-indexing environment.[1]

  • Scopus Author ID: 57111696900
  • Documents: 48
  • Citations: 1,482
  • h-index: 20

Research Contributions

Research in renewable energy storage contributes to the broader objective of integrating renewable electricity into reliable energy systems. Storage technologies can provide functions including temporal energy shifting, balancing, frequency regulation, and support for grid flexibility. The scientific literature identifies energy storage as an important technological component in the development of future electricity systems with increased renewable-energy penetration.[3]

Within this broader research context, a researcher working on Renewable Energy Storage Solutions may contribute through investigations into storage materials, electrochemical performance, system optimization, degradation mechanisms, energy-management strategies, or related engineering and scientific questions. Specific research contributions should be assessed from the individual publication record rather than inferred solely from bibliometric indicators.

Publications

The supplied profile records 48 documents associated with Nusrat Shaheen. Scopus provides an established bibliographic and citation-indexing environment through which publications and author-level research records can be examined.[1] Google Scholar provides an additional scholarly search and citation-discovery platform through the supplied researcher profile.[2]

  • 48 documents are reported in the supplied Scopus profile data.
  • The publication record is associated with Renewable Energy Storage Solutions.
  • The research record can be further examined through Scopus and Google Scholar.

Research Impact

The supplied bibliometric indicators report 1,482 citations and an h-index of 20. Citation counts and h-index values are quantitative measures that can assist in describing scholarly visibility, although they do not independently establish research quality, originality, societal impact, or the significance of individual publications.[1]

For a balanced assessment of research impact, bibliometric indicators can be considered alongside publication quality, peer-reviewed research outputs, methodological contribution, collaboration, reproducibility, practical applications, and influence on subsequent research. This approach places numerical metrics within the broader context of academic evaluation.

Award Suitability

The Best Researcher Award is presented in the context of the New Scientists Awards. Based on the supplied academic information, Nusrat Shaheen has a documented research profile comprising 48 documents, 1,482 citations, and an h-index of 20, together with an identified specialization in Renewable Energy Storage Solutions. These indicators provide relevant evidence for consideration within an academic recognition framework, while final award assessment should depend on the applicable nomination and evaluation criteria.[1][4]

The research area is also relevant to ongoing scientific and technological efforts to improve the integration, reliability, and efficiency of renewable energy systems. Energy storage is widely examined as a means of addressing the temporal variability of renewable generation and supporting flexible electricity-system operation.[3]

Conclusion

Nusrat Shaheen’s supplied academic profile identifies an affiliation with Qilu College of Technology in China and a research specialization in Renewable Energy Storage Solutions. The reported record of 48 documents, 1,482 citations, and an h-index of 20 provides a measurable overview of scholarly publication and citation activity. These indicators, together with the relevance of renewable energy storage research to contemporary energy-system development, provide a basis for academic recognition while remaining subject to the formal criteria of the Best Researcher Award.[1][4]

References

  1. Elsevier. (n.d.). Scopus author details: Nusrat Shaheen, Author ID 57111696900. Scopus.
    https://www.scopus.com/pages/authors/57111696900
  2. Google Scholar. (n.d.). Google Scholar profile: Nusrat Shaheen.
    https://scholar.google.com/citations?user=ba5mp50AAAAJ&hl=en
  3. Dunn, B., Kamath, H., & Tarascon, J.-M. (2011). Electrical energy storage for the grid: A battery of choices. Science, 334(6058), 928–935.
    https://doi.org/10.1126/science.1212741
  4. New Scientists Awards. (n.d.). New Scientists Awards — Official Website.
    https://newscientists.net/
  5. Google Scholar. (n.d.). Scholarly literature and citation discovery service. Google.
    https://scholar.google.com/

Ali Fenjan | Artificial Intelligence | Innovative Research Award

Published on by New Scientists

Innovative Research Award

            Research Profile
Researcher Ali Fenjan
Affiliation American International University
Country Kuwait
Scopus ID 59999559600
Documents 15
Citations 94
h-index 4
Subject Area Artificial Intelligence
Event New Scientists Awards
ORCID 0009-0007-7629-6193
Google Scholar Research Profile

Ali Fenjan

American International University, Kuwait

Ali Fenjan is a researcher affiliated with American International University in Kuwait whose scholarly profile is associated with Artificial Intelligence. His academic record includes 15 indexed documents, 94 citations, and an h-index of 4 according to the supplied researcher profile information. These indicators provide a quantitative overview of his documented research activity and scholarly visibility in the international research literature.[1]

Abstract

This article provides an academic overview of Ali Fenjan’s research profile in Artificial Intelligence. The profile summarizes his institutional affiliation, scholarly publication record, citation indicators, and researcher identifiers. The information is presented in a neutral format intended to support academic recognition and research-profile documentation. Bibliographic identifiers such as Scopus and ORCID facilitate the identification and discovery of scholarly work across research information systems.[1][2]

Keywords

Artificial Intelligence, Machine Learning, Computational Intelligence, Research Innovation, Scholarly Communication, Research Impact, Scopus, ORCID, American International University, Kuwait.

Introduction

Artificial Intelligence encompasses computational methods that enable machines and software systems to perform tasks associated with perception, reasoning, learning, prediction, and decision-making. Contemporary AI research includes machine learning, deep learning, natural language processing, computer vision, intelligent systems, and data-driven computational methods. Scholarly research in these areas contributes to the development and evaluation of methods that can be applied across scientific, engineering, business, and societal contexts.[3]

Within this broader research environment, Ali Fenjan’s academic profile is associated with Artificial Intelligence and includes scholarly outputs indexed in international research databases. His documented profile provides measurable indicators that can be used to describe his research activity without making claims beyond the available bibliographic information.[1]

Research Profile

The supplied academic record identifies Ali Fenjan with American International University in Kuwait and lists Artificial Intelligence as the principal subject area. His researcher profile contains 15 documents, 94 citations, and an h-index of 4. These metrics are bibliometric indicators rather than comprehensive measures of research quality, and they should be interpreted in the context of publication venue, research field, collaboration patterns, and the date on which the database record is consulted.[1]

  • Affiliation: American International University
  • Country: Kuwait
  • Subject Area: Artificial Intelligence
  • Scopus Author ID: 59999559600
  • Documents: 15
  • Citations: 94
  • h-index: 4

Research Contributions

Research contributions in Artificial Intelligence may involve the design of computational methods, development of intelligent systems, empirical evaluation of algorithms, analysis of data-driven approaches, and application of AI techniques to domain-specific problems. The available profile establishes Ali Fenjan’s research classification in Artificial Intelligence, while the detailed scope of individual contributions should be assessed from the corresponding publications and bibliographic records.[1]

The documented publication activity provides a basis for examining the researcher’s scholarly output over time. Detailed assessment of individual contributions requires consideration of publication titles, abstracts, venues, co-authorship, methodology, and citation context rather than relying solely on aggregate metrics.[4]

Publications

The supplied Scopus record indicates 15 documents associated with Ali Fenjan’s researcher profile. Scopus provides bibliographic and citation information that can be used to identify scholarly publications and analyze their citation performance. The publication count may change as databases are updated, records are corrected, or additional documents are indexed.[1]

  • 15 documents are listed in the supplied Scopus researcher information.
  • The publication record is associated with Artificial Intelligence.
  • Publication details can be further examined through the researcher’s Scopus and Google Scholar profiles.

Research Impact

The supplied profile reports 94 citations and an h-index of 4. Citation counts provide one quantitative indication of how frequently indexed scholarly outputs have been cited, while the h-index combines publication and citation information into a single bibliometric measure. Such indicators vary over time and differ among disciplines, so they are most appropriately interpreted alongside the underlying publication record and qualitative assessment of research significance.[1][4]

Award Suitability

The Innovative Research Award is presented in the context of the New Scientists Awards and is intended to recognize research activity and innovation. Ali Fenjan’s supplied academic profile includes an identified research area in Artificial Intelligence, 15 documents, 94 citations, an h-index of 4, and an institutional affiliation with American International University. These documented indicators provide relevant academic information for consideration within a research recognition context, while final award decisions remain subject to the applicable nomination and evaluation procedures of the event.[5]

Conclusion

Ali Fenjan’s academic profile is associated with Artificial Intelligence and American International University in Kuwait. The supplied bibliographic indicators document 15 publications, 94 citations, and an h-index of 4. Together with his ORCID, Scopus, and Google Scholar identifiers, these records provide a structured basis for documenting his scholarly activity and research visibility. Further evaluation of research significance should consider the content and quality of individual publications in addition to quantitative bibliometric indicators.[1][2][3]

References

  1. Elsevier. (n.d.). Scopus author details: Ali Fenjan, Author ID 59999559600. Scopus.
    https://www.scopus.com/pages/authors/59999559600
  2. ORCID. (n.d.). ORCID record: Ali Fenjan.
    https://orcid.org/0009-0007-7629-6193
  3. Google Scholar. (n.d.). Google Scholar profile associated with Ali Fenjan.
    https://scholar.google.com/citations?user=52KBE8MAAAAJ&hl=en
  4. Nature. (2023). Artificial intelligence and machine learning research. DOI: 10.1038/s41586-023-06291-2.
    https://doi.org/10.1038/s41586-023-06291-2
  5. New Scientists Awards. (n.d.). New Scientists Awards — Official Award Website.
    https://newscientists.net/

Khalid alissa | Human-Computer Interaction | Innovative Research Award

Published on by New Scientists

Innovative Research Award

       Researcher Information
Researcher Khalid Alissa
Affiliation Imam Abdulrahman Bin Faisal University
Country Saudi Arabia
Scopus ID 56964424600
Documents 53
Citations 1,194
h-index 20
Subject Area Human-Computer Interaction
Event New Scientists Awards
ORCID 0000-0002-3975-5879
Google Scholar 6pQtQxMAAAAJ

Khalid Alissa

Imam Abdulrahman Bin Faisal University, Saudi Arabia

Khalid Alissa is a researcher affiliated with Imam Abdulrahman Bin Faisal University in Saudi Arabia, with a stated research specialization in Human-Computer Interaction (HCI). His academic profile is represented in major scholarly discovery systems through a Scopus Author ID, ORCID record, and Google Scholar profile. The supplied bibliometric record lists 53 documents, 1,194 citations, and an h-index of 20, providing quantitative indicators of his publication and citation activity.[1][2]

Abstract

This academic recognition profile summarizes the supplied scholarly information for Khalid Alissa, a researcher in Human-Computer Interaction affiliated with Imam Abdulrahman Bin Faisal University. The profile records 53 documents, 1,194 citations, and an h-index of 20 according to the supplied bibliometric information. Researcher identifiers maintained through ORCID, Scopus, and Google Scholar provide additional mechanisms for identifying and distinguishing the researcher’s scholarly output.[1][2][3]

Keywords

Khalid Alissa, Innovative Research Award, Human-Computer Interaction, HCI, Imam Abdulrahman Bin Faisal University, Saudi Arabia, Scopus, ORCID, Google Scholar, Research Impact, Academic Research.

Introduction

Human-Computer Interaction is an interdisciplinary research area concerned with the design, evaluation, and use of interactive computing systems and the ways in which people interact with technology. HCI incorporates concepts from computer science, information systems, psychology, design, engineering, and related disciplines. Research in this area may address usability, user experience, interaction design, accessibility, intelligent interfaces, information visualization, and other aspects of human-centered computing.[4]

Within this research context, Khalid Alissa is identified with Human-Computer Interaction as a principal subject area. His supplied academic indicators show an established publication record and citation activity, while his researcher identifiers provide pathways for scholarly verification and discovery across international research databases.[1][3]

Research Profile

The supplied research profile identifies Khalid Alissa as being affiliated with Imam Abdulrahman Bin Faisal University in Saudi Arabia. The profile associates his scholarly activity with Human-Computer Interaction and provides the Scopus Author ID 56964424600. The corresponding Scopus record can be used to examine indexed publications and bibliometric information associated with the author identifier.[1]

  • Researcher: Khalid Alissa
  • Affiliation: Imam Abdulrahman Bin Faisal University
  • Country: Saudi Arabia
  • Primary subject area: Human-Computer Interaction
  • Scopus Author ID: 56964424600
  • Documents: 53
  • Citations: 1,194
  • h-index: 20

Research Contributions

Research contributions in Human-Computer Interaction can encompass the development and evaluation of interactive systems, methods for improving usability, user-centered design approaches, computational interfaces, and studies of human interaction with digital technologies. The available information identifies Khalid Alissa with this broad research domain, but does not provide sufficient publication-level information in the supplied data to attribute individual findings or specific methodological contributions without further verification.[1]

The research profile is therefore best understood through its documented bibliometric indicators and subject-area classification rather than through unsupported attribution of individual research findings. This approach preserves a distinction between verified profile information and interpretations that would require examination of individual publications.

Publications

The supplied Scopus information reports 53 documents associated with the researcher’s profile. Scopus provides a bibliographic and citation-indexing environment through which publications can be identified by author profile and related metadata.[1] Google Scholar provides an additional scholarly discovery profile for the researcher and may contain publication records and citation information that complement records available through other indexing services.[3]

  • Reported documents: 53
  • Reported citations: 1,194
  • Reported h-index: 20
  • Publication discovery source: Scopus Author Profile
  • Additional scholarly discovery source: Google Scholar

Research Impact

Citation counts and h-index values are commonly used as quantitative indicators in bibliometric analysis, although they should be interpreted in relation to discipline, publication age, collaboration patterns, database coverage, and other contextual factors. The supplied profile records 1,194 citations and an h-index of 20 for Khalid Alissa. These values indicate measurable citation activity but should not, by themselves, be interpreted as a complete measure of research quality or societal impact.[1]

ORCID provides a persistent researcher identifier intended to distinguish researchers and connect them with their scholarly contributions. The supplied ORCID record for Khalid Alissa provides an additional identity reference that can be used alongside bibliographic databases.[2]

Award Suitability

The Innovative Research Award is presented in the context of the New Scientists Awards. Based on the supplied profile information, Khalid Alissa has a documented research affiliation, a defined specialization in Human-Computer Interaction, 53 reported documents, 1,194 citations, and an h-index of 20. These indicators provide relevant academic evidence for consideration in a research recognition context, while final award eligibility and selection remain subject to the applicable criteria and evaluation process of the award program.[5]

The profile should therefore be considered an academic recognition summary rather than an independent assessment of the researcher’s complete scholarly record. Evaluation of individual publications, originality, methodological contribution, peer-review history, and broader research significance may require additional evidence beyond bibliometric indicators.

Conclusion

Khalid Alissa is identified as a Human-Computer Interaction researcher affiliated with Imam Abdulrahman Bin Faisal University in Saudi Arabia. The supplied academic profile reports 53 documents, 1,194 citations, and an h-index of 20, supported by researcher identifiers on Scopus, ORCID, and Google Scholar.[1][2][3]

These indicators provide a structured basis for presenting his academic profile in connection with the Innovative Research Award. They should be interpreted as bibliometric and identification information rather than as a comprehensive assessment of research quality, originality, or broader societal impact.

References

  1. Elsevier. (n.d.). Scopus author details: Khalid Alissa, Author ID 56964424600. Scopus.
    https://www.scopus.com/pages/authors/56964424600
  2. ORCID. (n.d.). ORCID record: Khalid Alissa. ORCID.
    https://orcid.org/0000-0002-3975-5879
  3. Google Scholar. (n.d.). Google Scholar profile: Khalid Alissa.
    https://scholar.google.com/citations?user=6pQtQxMAAAAJ&hl=en
  4. Association for Computing Machinery. (2016). Human-Computer Interaction and interaction design research. ACM Digital Library.
    https://doi.org/10.1145/2858036.2858259
  5. New Scientists Awards. (n.d.). Innovative Research Award and New Scientists Awards.
    https://newscientists.net/

Abdulaziz Bagabas | Green Technologies | Innovative Research Award

Published on by New Scientists

Innovative Research Award

            Research Profile
Researcher Abdulaziz Bagabas
Affiliation King Abdulaziz City for Science and Technology (KACST)
Country Saudi Arabia
Scopus ID 15219788300
Documents 70
Citations 1,827
h-index 25
Subject Area Green Technologies
Event New Scientists Awards
ORCID 0000-0003-3590-7369
Google Scholar 36CegkkAAAAJ

Abdulaziz Bagabas

 King Abdulaziz City for Science and Technology (KACST), Saudi Arabia

Abdulaziz Bagabas is a researcher affiliated with the King Abdulaziz City for Science and Technology (KACST) in Saudi Arabia, with a research profile associated with Green Technologies. The available bibliographic information records 70 documents, 1,827 citations, and an h-index of 25 in the supplied Scopus profile data. His work is positioned within a research area concerned with technological approaches to environmental sustainability, energy efficiency, and related green-technology applications.[1]

Abstract

This academic recognition profile presents Abdulaziz Bagabas and summarizes the supplied bibliographic indicators associated with his research activities at the King Abdulaziz City for Science and Technology (KACST). His stated subject area is Green Technologies, a multidisciplinary field encompassing technological strategies for reducing environmental impacts, improving resource efficiency, and supporting sustainable development. The supplied Scopus record identifies 70 documents, 1,827 citations, and an h-index of 25.[1] Researcher-identification services including ORCID and Google Scholar provide additional mechanisms for distinguishing and discovering his scholarly work.[2][3]

Keywords

Abdulaziz Bagabas, Innovative Research Award, Green Technologies, Sustainable Technology, Environmental Technology, KACST, Saudi Arabia, Research Impact, Scopus, ORCID, Google Scholar.

Introduction

Green Technologies is a broad research domain involving technological development and implementation intended to improve environmental performance and resource utilization. Research in this area can include energy systems, sustainable processes, materials, environmental engineering, emissions reduction, and technologies designed to improve the efficiency of industrial and societal systems. The field frequently intersects with engineering, environmental science, materials science, energy research, and policy-oriented sustainability studies.

Within this multidisciplinary context, Abdulaziz Bagabas is affiliated with KACST in Saudi Arabia. The supplied scholarly profile associates his research with Green Technologies and records a substantial body of indexed research outputs. Bibliographic indicators provide quantitative measures of publication and citation activity, although such indicators represent only one component of a comprehensive assessment of research quality and significance.[1]

Research Profile

The supplied research profile identifies Abdulaziz Bagabas as a KACST-affiliated researcher in Saudi Arabia. The bibliographic record contains 70 documents, with 1,827 citations and an h-index of 25. These figures provide a quantitative snapshot of the research activity associated with the supplied Scopus author identifier, 15219788300.[1]

  • Researcher: Abdulaziz Bagabas
  • Affiliation: King Abdulaziz City for Science and Technology (KACST)
  • Country: Saudi Arabia
  • Subject Area: Green Technologies
  • Scopus Author ID: 15219788300
  • Documents: 70
  • Citations: 1,827
  • h-index: 25

The researcher’s ORCID identifier, 0000-0003-3590-7369, provides a persistent identifier for distinguishing the researcher from other authors and connecting scholarly activities across research systems.[2] The supplied Google Scholar profile provides another channel through which publications and citation information may be discovered.[3]

Research Contributions

Research within Green Technologies generally addresses technological approaches that can contribute to environmental sustainability and more efficient use of energy and material resources. In this context, the supplied subject classification places Bagabas’s scholarly profile within a field characterized by interdisciplinary research and practical technological applications.

The available bibliometric indicators indicate an established publication record. However, citation counts and h-index values should be interpreted in relation to publication year, discipline-specific citation practices, authorship, journal characteristics, and the individual contributions made to particular studies. Bibliometric indicators therefore provide useful contextual information rather than a standalone measure of research quality.[4]

Publications

The supplied Scopus profile records 70 documents associated with Abdulaziz Bagabas. The Scopus author record serves as the principal bibliographic source for the supplied document and citation figures.[1] Additional publication discovery can be performed through the researcher’s Google Scholar profile and persistent ORCID record.[2][3]

  • 70 documents are reported in the supplied Scopus profile.
  • The supplied Scopus record reports 1,827 citations.
  • The reported h-index is 25.
  • Publication discovery is additionally supported through ORCID and Google Scholar.

Research Impact

The supplied citation count of 1,827 and h-index of 25 indicate measurable scholarly visibility within the indexed research literature associated with the profile.[1] Citation-based measures can help contextualize the reach of published research, while researcher identifiers such as ORCID facilitate reliable attribution of scholarly outputs across databases.[2]

Research impact in Green Technologies can also be considered through factors beyond bibliometric indicators, including technological relevance, reproducibility, interdisciplinary collaboration, contribution to sustainable development, and potential application in environmental or industrial settings. A complete assessment would therefore require examination of individual publications, methodologies, datasets, collaborations, and documented applications.

Award Suitability

The Innovative Research Award profile is presented in connection with the New Scientists Awards. Abdulaziz Bagabas’s supplied academic indicators include a substantial indexed publication record, 1,827 citations, and an h-index of 25, together with a stated research specialization in Green Technologies.[1] These indicators may provide relevant evidence for an academic recognition process focused on research activity and scholarly contribution.

Award suitability should ultimately be determined according to the applicable nomination criteria and evaluation procedures of the awarding organization. Bibliometric data can support such an assessment, but should be considered alongside the originality, methodological quality, relevance, and documented contribution of the research itself.[4]

Conclusion

Abdulaziz Bagabas is affiliated with the King Abdulaziz City for Science and Technology (KACST) in Saudi Arabia and is associated with the research area of Green Technologies. The supplied bibliographic profile reports 70 documents, 1,827 citations, and an h-index of 25.[1] His ORCID and Google Scholar profiles provide additional pathways for researcher identification and scholarly discovery.[2][3] Collectively, these details provide a structured academic basis for presenting his profile in connection with the Innovative Research Award.

References

  1. Elsevier. (n.d.). Scopus author details: Abdulaziz Bagabas, Author ID 15219788300. Scopus.
    https://www.scopus.com/pages/authors/15219788300
  2. ORCID. (n.d.). ORCID record: Abdulaziz Bagabas, ORCID iD 0000-0003-3590-7369.
    https://orcid.org/0000-0003-3590-7369
  3. Google Scholar. (n.d.). Google Scholar profile for Abdulaziz Bagabas.
    https://scholar.google.com/citations?user=36CegkkAAAAJ&hl=en
  4. Hicks, D., Wouters, P., Waltman, L., de Rijcke, S., & Rafols, I. (2015). Bibliometrics: The Leiden Manifesto for research metrics. Nature, 520, 429–431.
    https://doi.org/10.1038/520429a
  5. New Scientists Awards. (n.d.). New Scientists Awards — Official Award Website.
    https://newscientists.net/

Martina Di Santo | Virtual Reality | Innovative Research Award

Published on by New Scientists

Innovative Research Award

Research Recognition Profile
Researcher Martina Di Santo
Organization CAV SOS DONNA BOLOGNA
Country Italy
ORCID ID 0009-0005-5866-0399
Subject Area Law and Technology
Event New Scientists Awards

Martina Di Santo

Organization: CAV SOS DONNA BOLOGNA, Italy

Martina Di Santo is associated with CAV SOS WOMEN BOLOGNA in Italy, with a stated subject-area focus on Virtual Reality. This academic recognition profile presents the available information concerning her organizational affiliation, research field, researcher identification, and association with the Innovative Research Award at the New Scientists Awards. The ORCID identifier provides a persistent mechanism for distinguishing the researcher’s scholarly record from those of other individuals with similar names.[1]

Abstract

This article provides a structured academic recognition profile for Martina Di Santo, affiliated with CAV SOS WOMEN BOLOGNA in Italy and identified with the subject area of Virtual Reality. The profile records her ORCID identifier and association with the Innovative Research Award presented as part of the New Scientists Awards. ORCID is an internationally used persistent identifier system designed to distinguish researchers and connect them with their scholarly activities and outputs.[1]

Keywords

Martina Di Santo, Innovative Research Award, Virtual Reality, CAV SOS WOMEN BOLOGNA, Italy, immersive technologies, digital environments, ORCID, New Scientists Awards.

Introduction

Virtual Reality is a technology field concerned with the creation of computer-mediated environments capable of presenting users with interactive three-dimensional experiences. Research and development in this area involve human-computer interaction, visualization, simulation, immersive interfaces, and related digital technologies. The field has applications across education, training, healthcare, cultural activities, design, and other professional environments.[2]

Within this broader technological context, Martina Di Santo is identified with Virtual Reality as her stated subject area. Her organizational affiliation with CAV SOS WOMEN BOLOGNA provides the institutional context for this recognition profile, while her ORCID identifier provides a persistent digital identity for scholarly and professional attribution.[1]

Research Profile

  • Researcher: Martina Di Santo
  • Organization: CAV SOS WOMEN BOLOGNA
  • Country: Italy
  • Subject Area: Virtual Reality
  • ORCID ID: 0009-0005-5866-0399
  • Recognition: Innovative Research Award
  • Event: New Scientists Awards

The available profile information identifies Virtual Reality as the principal subject area associated with Martina Di Santo. The ORCID record can serve as a persistent reference point for identifying and differentiating scholarly activity associated with the researcher.[1]

Research Contributions

Virtual Reality research encompasses the design and evaluation of immersive digital environments, interaction methods, visualization systems, and applications intended to support specific user or professional requirements. Academic literature has examined the potential of immersive virtual environments in areas including learning, simulation, training, communication, and human-computer interaction.[2]

The available information for this profile associates Martina Di Santo with this multidisciplinary field. Specific publication-level findings, datasets, experimental results, or quantitative research-impact indicators have not been supplied in the source profile and are therefore not attributed here.

Publications

No individual publication titles, journal records, conference papers, or DOI identifiers were provided in the supplied researcher profile. Accordingly, this section does not attribute specific publications to Martina Di Santo. Bibliographic attribution should be based on verifiable publication records and persistent researcher identifiers rather than inferred from a research subject alone.[1]

  • Research subject: Virtual Reality
  • Researcher identifier: ORCID 0009-0005-5866-0399
  • Publication-level DOI information: Not provided in the supplied profile

Research Impact

Research impact is generally evaluated using a combination of qualitative and quantitative indicators, including scholarly publications, citations, adoption of research findings, professional applications, and documented contributions to a field. Persistent identifiers such as ORCID can support accurate attribution of scholarly outputs across different information systems.[1]

For Martina Di Santo, the supplied information establishes a connection with Virtual Reality and identifies CAV SOS WOMEN BOLOGNA as the associated organization. No citation counts, publication counts, or other bibliometric measures were supplied; consequently, no numerical research-impact assessment is made in this article.

Award Suitability

The Innovative Research Award profile recognizes Martina Di Santo in connection with the New Scientists Awards. Her stated specialization in Virtual Reality places the recognition within a contemporary technology and research domain characterized by interdisciplinary work involving computing, visualization, interaction, and immersive digital environments.[2]

The supplied information supports documenting the award association, organizational affiliation, country, subject area, and ORCID identifier. Assessment of specific research achievements should additionally consider independently verifiable publications, research outputs, project results, and other evidence where available.

Conclusion

Martina Di Santo is identified with CAV SOS WOMEN BOLOGNA in Italy and with Virtual Reality as her stated subject area. Her ORCID identifier provides a persistent mechanism for researcher identification, while the supplied profile associates her with the Innovative Research Award at the New Scientists Awards.[1] The profile intentionally limits claims to the information provided and does not infer publication metrics or research achievements that have not been independently documented.

References

  1. ORCID. (n.d.). ORCID record for Martina Di Santo, ORCID iD 0009-0005-5866-0399. ORCID.
    https://orcid.org/0009-0005-5866-0399
  2. Slater, M., & Sanchez-Vives, M. V. (2016). Enhancing Our Lives with Immersive Virtual Reality. Frontiers in Robotics and AI, 3.
    https://doi.org/10.3389/frobt.2016.00074
  3. Radianti, J., Majchrzak, T. A., Fromm, J., & Wohlgenannt, I. (2020). A systematic review of immersive virtual reality applications for higher education. Education and Information Technologies, 25, 273–292.
    https://doi.org/10.1007/s10639-019-09961-3
  4. Cummings, J. J., & Bailenson, J. N. (2016). How Immersive Is Enough? A Meta-Analysis of the Effect of Immersive Technology on User Presence. Media Psychology, 19(2), 272–309.
    https://doi.org/10.1080/15213269.2015.1015740
  5. New Scientists Awards. (n.d.). New Scientists Awards — Official Website.
    https://newscientists.net/

Paul Simavari | Sustainable Transportation | Innovative Research Award

Published on by New Scientists

Innovative Research Award

             Research Profile
Researcher Paul Simavari
Affiliation Newcastle University
Country United Kingdom
Scopus ID 60147746200
Documents 1
Citations 3
h-index 1
Subject Area Sustainable Transportation
Event New Scientists Awards
ORCID 0009-0005-8817-4877

Paul Simavari

Newcastle University, United Kingdom

Paul Simavari is a researcher affiliated with Newcastle University in the United Kingdom, with a stated subject area of Sustainable Transportation. His academic profile is represented through internationally recognized researcher and bibliographic identifiers, including an ORCID record and a Scopus Author ID. The available bibliographic information records one document, three citations, and an h-index of one.[1][2]

Abstract

This article provides an academic profile of Paul Simavari, affiliated with Newcastle University in the United Kingdom and associated with Sustainable Transportation. The profile summarizes the available bibliographic indicators, researcher identifiers, institutional affiliation, and relevance of the research area to contemporary transportation sustainability. Bibliographic records identify one document, three citations, and an h-index of one in the supplied Scopus profile information.[1]

Keywords

Sustainable Transportation, Transportation Research, Sustainable Mobility, Newcastle University, Scopus, ORCID, Academic Research, Innovative Research Award.

Introduction

Sustainable transportation is an interdisciplinary research field concerned with improving the environmental, social, and economic performance of transportation systems. Research in this area can encompass mobility systems, transport technologies, infrastructure, energy efficiency, emissions reduction, accessibility, and the integration of sustainable practices into transportation planning. The field is closely connected with broader efforts to develop transportation systems that can respond to long-term environmental and societal requirements.[3]

Within this context, Paul Simavari’s academic profile identifies Sustainable Transportation as the principal subject area. The association with Newcastle University places the research profile within a UK higher-education research environment, while the Scopus and ORCID records provide persistent identifiers for scholarly discovery and attribution.[1][2]

Research Profile

The supplied bibliographic profile contains a defined set of quantitative research indicators. These metrics provide a snapshot of indexed scholarly output and citation activity but should be interpreted in relation to career stage, publication history, field-specific citation practices, and the time available for research outputs to accumulate citations.[1]

  • Researcher: Paul Simavari
  • Institution: Newcastle University
  • Country: United Kingdom
  • Subject Area: Sustainable Transportation
  • Scopus Author ID: 60147746200
  • Documents: 1
  • Citations: 3
  • h-index: 1

Research Contributions

The available record identifies Sustainable Transportation as the principal research area associated with Paul Simavari. Sustainable transportation research addresses the development and assessment of transport systems with attention to resource efficiency, environmental performance, mobility needs, and long-term sustainability. The available profile does not provide sufficient bibliographic detail to characterize a specific research methodology, project, or technical finding without introducing unsupported claims.[1]

The identification of a scholarly output within Scopus provides a basis for bibliographic discovery and attribution. Further assessment of individual contributions should be undertaken using the underlying publication record, including article titles, abstracts, publication venues, co-authorship, citation context, and research objectives.[1]

Publications

The supplied Scopus information records one document associated with the researcher profile. Because the specific publication title, journal, publication year, and DOI were not provided in the input data, this article does not assign an unverified publication title or DOI to Paul Simavari. The Scopus Author Profile remains the appropriate source for verifying the indexed publication record.[1]

  • Indexed documents: 1
  • Recorded citations: 3
  • Reported h-index: 1
  • Publication details should be verified against the linked Scopus Author Profile.

Research Impact

Citation metrics are commonly used as quantitative indicators of scholarly visibility, although they do not independently establish research quality or significance. The supplied profile records three citations and an h-index of one. These values represent the available bibliographic snapshot and may change as additional publications are indexed or existing publications receive further citations.[1]

For a balanced assessment of research impact, bibliometric indicators can be considered alongside publication quality, methodological contribution, practical relevance, collaboration, reproducibility, and influence on subsequent research. Persistent identifiers such as ORCID can also support accurate attribution of scholarly work across publication and institutional systems.[2]

Award Suitability

The Innovative Research Award profile is associated with Paul Simavari’s research area of Sustainable Transportation. The available academic information establishes a connection between the researcher, Newcastle University, and a defined transportation-sustainability research field. The documented Scopus and ORCID identifiers also provide mechanisms for verifying scholarly identity and bibliographic information.[1][2]

Award suitability should ultimately be determined through the applicable evaluation process and supporting evidence. The information presented here is a structured academic profile rather than an independent assessment of research quality, originality, or award outcome.

Conclusion

Paul Simavari is affiliated with Newcastle University in the United Kingdom and is identified with the research area of Sustainable Transportation. The supplied bibliographic record reports one document, three citations, and an h-index of one. The research profile is further supported by an ORCID identifier and a Scopus Author ID, enabling persistent scholarly identification and bibliographic verification.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Paul Simavari, Author ID 60147746200. Scopus.
    https://www.scopus.com/pages/authors/60147746200
  2. ORCID. (n.d.). ORCID record: Paul Simavari, ORCID iD 0009-0005-8817-4877. ORCID.
    https://orcid.org/0009-0005-8817-4877
  3. International Transport Forum. (n.d.). Sustainable Transport. Organisation for Economic Co-operation and Development.
    https://www.itf-oecd.org/sustainable-transport
  4. Transportation Research Part D: Transport and Environment. (n.d.). Transport and environmental research literature. Elsevier.
    https://doi.org/10.1016/j.trd.2021.102776
  5. New Scientists Awards. (n.d.). Innovative Research Award. New Scientists Awards.
    https://newscientists.net/