Brian C. Gin
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Information Systems top 10%
- Artificial Intelligence in Education
- Digital literacy in education
Papers in
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- Artificial Intelligence in Healthcare and Education 7
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- Innovations in Medical Education 4
- Co-authors
- Christy Boscardin (9 shared papers)Karen E. Hauer (3 shared papers)Raja-Elie Edward Abdulnour (4 shared papers)Phillip L. Geissler (1 shared paper)Mark D. Syer (1 shared paper)Morten Bo Søndergaard Svendsen (1 shared paper)Martin V Pusic (1 shared paper)Ryan Brydges (1 shared paper)
- Journals
- Academic Medicine (4 papers)Medical Education (2 papers)Psychometrika (1 paper)New England Journal of Medicine (1 paper)Medical Teacher (1 paper)
- Partner nations
- United StatesNetherlandsIreland
In The Last Decade
Brian C. Gin
14 papers receiving 550 citations
Brian C. Gin's Hit Papers
Peers
Comparison fields: 5 of 59
- Health Informatics 361
- Information Systems 77
- Family Practice 7
- Public Health, Environmental and Occupational Health 72
- Leadership and Management 3
Countries citing papers authored by Brian C. Gin
This map shows the geographic impact of Brian C. Gin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Brian C. Gin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian C. Gin more than expected).
Fields of papers citing papers by Brian C. Gin
This network shows the impact of papers produced by Brian C. Gin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Brian C. Gin. The network helps show where Brian C. Gin may publish in the future.
Co-authors
The 22 scholars most cited alongside Brian C. Gin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 297 | |
| 2 | 2023 | 90 | |
| 3 | Educational Strategies for Clinical Supervision of Artificial Intelligence Use Hit paper breakdown → | 2025 | 61 |
| 4 | 2009 | 39 | |
| 5 | 2021 | 26 | |
| 6 | 2024 | 10 | |
| 7 | 2025 | 10 | |
| 8 | 2024 | 9 | |
| 9 | 2025 | 7 | |
| 10 | 2020 | 6 | |
| 11 | 2023 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2026 | 1 |
About Brian C. Gin
Brian C. Gin is a scholar working on Health Informatics, Public Health, Environmental and Occupational Health, General Social Sciences, Management Science and Operations Research and Artificial Intelligence, having authored 14 papers that have together received 564 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (7 papers), Innovations in Medical Education (4 papers), Sentiment Analysis and Opinion Mining (1 paper), Protein Structure and Dynamics (1 paper), Psychometric Methodologies and Testing (1 paper), Computational and Text Analysis Methods (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Health Informatics (361 citations), Information Systems (77 citations), Family Practice (7 citations), Public Health, Environmental and Occupational Health (72 citations) and Leadership and Management (3 citations). Brian C. Gin has collaborated with scholars based in United States, Netherlands and Ireland. Frequent co-authors include Christy Boscardin, Karen E. Hauer, Raja-Elie Edward Abdulnour, Phillip L. Geissler, Mark D. Syer, Morten Bo Søndergaard Svendsen, Martin V Pusic, Ryan Brydges, Stefanie S. Sebok‐Syer and Martin G. Tolsgaard. Their work appears in journals such as Academic Medicine, Medical Education, Psychometrika, New England Journal of Medicine and Medical Teacher.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.