Jerry Sheehan
Impact in
- Health Informatics top 10%
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- Artificial Intelligence in Healthcare
Papers in
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- Biomedical Text Mining and Ontologies 1
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- Scientific Computing and Data Management 1
- Interdisciplinary Research and Collaboration 1
- Co-authors
- Michael F. Huerta (3 shared papers)Ron Margolis (1 shared paper)Eric D. Green (1 shared paper)Leslie Derr (1 shared paper)Michelle Dunn (1 shared paper)Jennie Larkin (1 shared paper)Mark S. Guyer (1 shared paper)Scout Calvert (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (2 papers)Bulletin of the London Mathematical Society (1 paper)Clinical Trials (1 paper)PLoS ONE (1 paper)Scholars Archive - University at Albany (University at Albany, State University of New York) (1 paper)
- Partner nations
- United States
In The Last Decade
Jerry Sheehan
8 papers receiving 447 citations
Peers
Comparison fields: 5 of 99
- Health Informatics 21
- Health Information Management 49
- Information Systems and Management 55
- Applied Psychology 17
- Management Science and Operations Research 35
Countries citing papers authored by Jerry Sheehan
This map shows the geographic impact of Jerry Sheehan'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 Jerry Sheehan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerry Sheehan more than expected).
Fields of papers citing papers by Jerry Sheehan
This network shows the impact of papers produced by Jerry Sheehan. 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 Jerry Sheehan. The network helps show where Jerry Sheehan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jerry Sheehan, 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 | 2014 | 213 | |
| 2 | 2015 | 121 | |
| 3 | 2016 | 90 | |
| 4 | 2015 | 24 | |
| 5 | 1990 | 12 | |
| 6 | Campuses as Living Laboratories for the Greener Future | 2009 | 6 |
| 7 | Opening Science: Increasing Access to Federally Funded Research | 2016 | 1 |
| 8 | 2008 | 1 |
About Jerry Sheehan
Jerry Sheehan is a scholar working on Molecular Biology, Information Systems and Management, Public Health, Environmental and Occupational Health, Information Systems and Artificial Intelligence, having authored 8 papers that have together received 468 indexed citations. Recurring topics across this work include Research Data Management Practices (1 paper), Scientific Computing and Data Management (1 paper), Biomedical Text Mining and Ontologies (1 paper), Ethics in Clinical Research (1 paper), Advanced Graph Theory Research (1 paper), Health and Medical Research Impacts (1 paper), AI in cancer detection (1 paper) and Interdisciplinary Research and Collaboration (1 paper). The work is most often cited by research in Health Informatics (21 citations), Health Information Management (49 citations), Information Systems and Management (55 citations), Applied Psychology (17 citations) and Management Science and Operations Research (35 citations). Jerry Sheehan has collaborated with scholars based in United States. Frequent co-authors include Michael F. Huerta, Ron Margolis, Eric D. Green, Leslie Derr, Michelle Dunn, Jennie Larkin, Mark S. Guyer, Scout Calvert, Matthew J. Bietz and Cinnamon S. Bloss. Their work appears in journals such as Journal of the American Medical Informatics Association, Bulletin of the London Mathematical Society, Clinical Trials, PLoS ONE and Scholars Archive - University at Albany (University at Albany, State University of New York).
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.