Michael A. Pfeffer
Impact in
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.5%
- Electronic Health Records Systems
Papers in
-
- Artificial Intelligence in Healthcare and Education 15
-
- Electronic Health Records Systems 7
- Artificial Intelligence in Healthcare 4
- Co-authors
- Nigam H. ShahDavid A. EntwistleBruce D. LevyJ M PfefferEugene BraunwaldI. MirskyRoxanne H. CrozeMohib Uddin
- Journals
- JAMA Network Open (5 papers)Journal of the American Medical Informatics Association (4 papers)npj Digital Medicine (3 papers)Applied Clinical Informatics (2 papers)JAMA (2 papers)
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Michael A. Pfeffer
52 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Health Informatics 497
- Health Information Management 184
- Family Practice 49
- Biochemistry 141
- Nutrition and Dietetics 250
Countries citing papers authored by Michael A. Pfeffer
This map shows the geographic impact of Michael A. Pfeffer'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 Michael A. Pfeffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. Pfeffer more than expected).
Fields of papers citing papers by Michael A. Pfeffer
This network shows the impact of papers produced by Michael A. Pfeffer. 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 Michael A. Pfeffer. The network helps show where Michael A. Pfeffer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael A. Pfeffer, 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 | 2025 | 6 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 16 | |
| 4 | 2024 | 40 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 143 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 17 | |
| 11 | 2020 | 10 | |
| 12 | 2020 | 2 | |
| 13 | 2018 | 8 | |
| 14 | 2016 | 17 | |
| 15 | 2014 | 8 | |
| 16 | 2012 | 153 | |
| 17 | 2010 | 83 | |
| 18 | 2010 | 64 | |
| 19 | 1990 | 29 | |
| 20 | 1990 | 42 |
About Michael A. Pfeffer
Michael A. Pfeffer is a scholar working on Health Informatics, Health Information Management, General Health Professions, Emergency Medicine and Public Health, Environmental and Occupational Health, having authored 57 papers that have together received 2.2k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (15 papers), Machine Learning in Healthcare (8 papers), Electronic Health Records Systems (7 papers), Telemedicine and Telehealth Implementation (5 papers), Artificial Intelligence in Healthcare (4 papers), Patient-Provider Communication in Healthcare (4 papers), Hormonal and reproductive studies (3 papers) and Reproductive Health and Contraception (3 papers). The work is most often cited by research in Health Informatics (497 citations), Health Information Management (184 citations), Family Practice (49 citations), Biochemistry (141 citations) and Nutrition and Dietetics (250 citations). Michael A. Pfeffer has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Nigam H. Shah, David A. Entwistle, Bruce D. Levy, J M Pfeffer, Eugene Braunwald, I. Mirsky, Roxanne H. Croze, Mohib Uddin, Troy Carlo and Oliver Haworth. Their work appears in journals such as JAMA Network Open, Journal of the American Medical Informatics Association, npj Digital Medicine, Applied Clinical Informatics and JAMA.
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.