Best Researcher Award
Rasool Norouzi Seyed Hossini
Tarbiat Modares University, Iran
Rasool Norouzi Seyed Hossini is identified in the supplied profile information as a researcher affiliated with Tarbiat Modares University, Iran. The subject area associated with this academic recognition profile is Human-Computer Interaction and User Experience. These indicators provide a quantitative overview of the researcher’s reported scholarly output and citation activity. The profile is presented in connection with the Best Researcher Award and New Scientists Awards. [1] [2] [3]
Abstract
This article presents an academic recognition profile for Rasool Norouzi Seyed Hossini, whose supplied institutional affiliation is Tarbiat Modares University in Iran. The identified subject area is Human-Computer Interaction and User Experience.These bibliometric indicators describe selected aspects of publication output and citation activity but do not independently establish the quality, originality, or practical impact of individual studies. The article summarizes the supplied profile information, outlines the relevance of research evaluation in human-computer interaction, and identifies resources for further examination of the researcher’s scholarly records. Specific research findings and publication-level claims require confirmation from original publications and their associated metadata. [1] [2] [4]
Keywords
Rasool Norouzi Seyed Hossini; Tarbiat Modares University; Iran; Human-Computer Interaction; user experience; HCI; bibliometrics; Google Scholar; Scopus; ORCID; research impact; Best Researcher Award; New Scientists Awards.
Introduction
Human-Computer Interaction (HCI) examines how people interact with computing systems and how interactive technologies can be designed and evaluated to support user needs. User experience research considers users’ perceptions, responses, and experiences before, during, and after interaction with products or services.The precise research topics associated with an individual researcher should, however, be established from verified publications rather than inferred from a broad subject-area label. [4]
Academic profiles provide a structured way to identify researchers and review publication records. Google Scholar and Scopus offer different forms of scholarly indexing and citation information, while ORCID provides a persistent researcher identifier that can help distinguish individuals with similar names. Their coverage and counting methods differ, so bibliometric values should be interpreted in relation to the source from which they were obtained. [1] [2] [3]
Research Profile
Rasool Norouzi Seyed Hossini is associated in the supplied information with Tarbiat Modares University in Iran. The profile identifies Human-Computer Interaction and User Experience as the relevant subject area. These identifiers enable readers to consult the respective records and investigate indexed publications, author metadata, and citation information. [1] [2] [3]
The bibliometric values supplied for this article are summarized below. Google Scholar and Scopus may report different document and citation totals because their coverage, indexing practices, and profile-management mechanisms are not identical. The figures below are reproduced as supplied and are not represented as independently verified, synchronized, or live database values.
Research Contributions
Human-computer interaction and user experience research can contribute to the understanding, design, and evaluation of interactive systems. Depending on the subject of a particular study, such contributions may involve usability testing, interaction techniques, interface evaluation, user-centered design methods, accessibility, or empirical analysis of user behavior. These are general areas within the discipline and are not presented here as verified research topics or specific findings attributable to Rasool Norouzi Seyed Hossini.
A detailed account of the researcher’s individual contributions requires examination of the publications associated with the supplied author identifiers. Relevant evidence may include:
- Research questions and objectives documented in verified journal articles, conference papers, or other scholarly outputs.
- Methods used to evaluate usability, user experience, interaction design, or other relevant research problems, where applicable.
This evidence-based approach makes it possible to distinguish general disciplinary context from documented individual contributions and supports a more reliable assessment of scholarly work. [4] [5]
Publications
The supplied profile data report 36 documents. The input information does not provide a verified list of publication titles, author order, journals, conference proceedings, publication dates, or DOI identifiers. Accordingly, individual works are not listed here, and no specific research findings are attributed to the researcher without primary-source evidence.
The Google Scholar profile and Scopus author record provide starting points for reviewing indexed publications. For a publication-level bibliography, each record should be checked against the original publisher’s page or a DOI registration record. A complete citation generally includes the authors, title, journal or conference name, year, volume and issue where applicable, page range or article number, and DOI. Crossref offers a searchable scholarly metadata service that can assist in locating publication records and resolving DOI information. [1] [2] [5]
Research Impact
This interpretation assumes that the supplied value was calculated using the standard definition and the relevant database’s indexed records. [1] [5]
Bibliometric indicators are useful descriptive measures, but they have limitations. Citation patterns vary by discipline, publication type, career stage, database coverage, and scholarly collaboration. Citation counts alone do not demonstrate methodological rigor, originality, reproducibility, or direct impact on users and society. In human-computer interaction, a balanced evaluation may also consider the quality of empirical methods, the relevance of the research questions, the strength of usability or user-experience evidence, and the documented usefulness of resulting methods or systems. [4] [5]
Award Suitability
The Best Researcher Award is the recognition category specified for this profile under New Scientists Awards. The Google Scholar and Scopus identifiers, together with the ORCID record, provide resources for examining researcher identity and locating scholarly outputs. [1] [2] [3]
Bibliometric indicators should be considered alongside qualitative evidence when evaluating research for recognition. Relevant considerations may include the originality and significance of published findings, the rigor of the research methods, the contribution to the field, research integrity, and alignment with the award’s published eligibility and evaluation criteria. The inclusion of this profile does not independently confirm nomination status, award selection, or an official award outcome. Such claims should be supported by an authoritative announcement from the award organizer.
Conclusion
Rasool Norouzi Seyed Hossini is identified in the supplied information as a researcher affiliated with Tarbiat Modares University in Iran, with a subject-area designation of Human-Computer Interaction and User Experience. These values offer a concise bibliometric overview but should be interpreted in the context of database coverage and the quality of the underlying research. Further analysis of verified publications is necessary to document specific scholarly contributions and their significance. Google Scholar, Scopus, and ORCID provide complementary resources for examining publication records and researcher identity. [1] [2] [3]
External Links
References
- Google. (n.d.). Google Scholar profile: Rasool Norouzi Seyed Hossini.
https://scholar.google.com/citations?hl=en&user=gBT2Lb0AAAAJ&view_op=list_works&sortby=pubdate
- Elsevier. (n.d.). Scopus author details: Rasool Norouzi Seyed Hossini, Author ID 57211508333.
https://www.scopus.com/authid/detail.uri?authorId=57211508333
- ORCID. (n.d.). Researcher identifier: 0000-0003-0575-6811.
https://orcid.org/0000-0003-0575-6811
- Association for Computing Machinery, Special Interest Group on Computer-Human Interaction. (n.d.). SIGCHI: Computer-Human Interaction.
https://sigchi.org/
- Crossref. (n.d.). Crossref metadata search.
https://search.crossref.org/