Innovative Research Award
| Hajar Homayouni |
| Affiliation |
San Diego State University |
| Country |
United States |
| Scopus ID |
55062010100 |
| Documents |
22 |
| Citations |
170 |
| h-index |
7 |
| Subject Area |
Health informatics |
| Event |
World Life Science Awards |
Hajar Homayouni is a researcher affiliated with San Diego State University in the United States whose scholarly profile is associated with the field of health informatics. The researcher is listed with Scopus Author ID 55062010100 and has a documented record of 22 indexed documents, 170 citations, and an h-index of 7 based on the supplied profile information. [1]
Abstract
This academic recognition profile presents the documented research information supplied for Hajar Homayouni, a researcher affiliated with San Diego State University and associated with health informatics. The profile records 22 Scopus-indexed documents, 170 citations, and an h-index of 7 under Scopus Author ID 55062010100. [3] These bibliometric indicators provide a quantitative description of indexed scholarly activity and citation visibility, while the subject-area classification provides disciplinary context for the research profile.
Keywords
- Hajar Homayouni
- Health informatics
- San Diego State University
- Research innovation
- Scientific research
- Bibliometric indicators
- Scopus
- Innovative Research Award
- World Life Science Awards
Introduction
Health informatics is an interdisciplinary research area that connects information science, computing, health sciences, data management, and related analytical methods. Research within this field can address the organization, analysis, interpretation, and application of health-related information to support scientific investigation and healthcare-related knowledge development.. [1] Research Profile
Research Contributions
The available information identifies health informatics as the principal subject area associated with the research profile. The field encompasses the use of information technologies, computational methods, data resources, and analytical approaches in health-related research. Within such a multidisciplinary environment, research contributions may involve the development, evaluation, interpretation, or application of information-based methods to scientific and healthcare questions.[2]
Publications
The supplied profile reports 22 documents indexed under Scopus Author ID 55062010100. [1] The individual titles, publication years, journals or proceedings, co-authors, and DOI identifiers have not been provided as source data for this article. Accordingly, no specific publication titles or DOI numbers are attributed to the researcher here without independent bibliographic verification.
Research Impact
The supplied Scopus record reports 170 citations associated with 22 documents and an h-index of 7. [2] These measures provide quantitative indicators of indexed scholarly activity. Citation counts can vary between databases and over time, and citation-based measures should therefore be interpreted within the relevant discipline, publication period, database coverage, and authorship context.
Award Suitability
The profile is presented in connection with the Innovative Research Award at the World Life Science Awards. The documented affiliation with San Diego State University, association with health informatics, and supplied bibliometric indicators provide factual background for considering the research profile within an academic recognition context. [3]
Conclusion
Hajar Homayouni is identified in the supplied academic information as a San Diego State University researcher associated with health informatics. The provided Scopus record lists 22 documents, 170 citations, an h-index of 7, and Scopus Author ID 55062010100. [1] These data provide a concise bibliometric overview of the research profile.
External Links
References
- Elsevier. (n.d.). Scopus author details: Hajar Homayouni, Author ID 55062010100. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=55062010100
- CACL: Context-aware contrastive learning for semantic modeling of anomalies in EHR data. Proceedings of the 17th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (BCB 2026), 11:1–11:10. DBLP
https://doi.org/10.1145/3807503.3819498
- A comprehensive evaluation framework for synthetic medical tabular data generation. Journal of Biomedical Informatics, 171, 104939. ScienceDirect
https://doi.org/10.1016/j.jbi.2025.104939