Michael A. Pfeffer

54 papers receiving 2.3k citations

Michael A. Pfeffer's Hit Papers

Physician Perspectives on Ambient AI Scribes 2025 · 41 citations
410+1Years since publication50100150

Peers

Michael A. Pfeffer
Comparison fields: 5 of 150
  • Health Informatics 468
  • Health Information Management 135
  • Biochemistry 131
  • Nutrition and Dietetics 241
  • Family Practice 26
Replace Akihiro Nomura with:
Akihiro Nomura Japan
Evangelos K. Oikonomou United States
Bradley A. Maron United States
Tahmina Nasrin Poly Taiwan
Wei Gong China
Chin‐Sheng Lin Taiwan
Seng Chan You South Korea
Nidhi Rohatgi United States
Quinn S. Wells United States
Suzette J. Bielinski United States
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Citations per field
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Akihiro Nomura · 1×
Citations per year

Countries citing papers authored by Michael A. Pfeffer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Michael A. Pfeffer Line = papers co-authored together Michael A. Pfeffer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023250
2 1982222
3 2012197
4
Testing and Evaluation of Health Care Applications of Large Language Models
Hit paper breakdown →
2024193
5 2023156
6 2012155
7
Artificial Intelligence–Generated Draft Replies to Patient Inbox Messages
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2024133
8 2020102
9 201084
10 202480
11 201065
12 201659
13
Ambient artificial intelligence scribes: utilization and impact on documentation time
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202457
14 202052
15 200648
16 200343
17 199042
18
Physician Perspectives on Ambient AI Scribes
Hit paper breakdown →
202541
19 201934
20 199432

About Michael A. Pfeffer

Michael A. Pfeffer is a scholar working on Health Informatics, Health Information Management, Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 59 papers that have together received 2.4k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (10 papers), Electronic Health Records Systems (4 papers), Machine Learning in Healthcare (4 papers), Hormonal and reproductive studies (3 papers), Reproductive Health and Contraception (3 papers), Immune Response and Inflammation (3 papers), Radiology practices and education (2 papers) and Emergency and Acute Care Studies (2 papers). The work is most often cited by research in Health Informatics (468 citations), Health Information Management (135 citations), Biochemistry (131 citations), Nutrition and Dietetics (241 citations) and Family Practice (26 citations). Michael A. Pfeffer has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Nigam H. Shah, David A. Entwistle, Bruce D. Levy, Eugene Braunwald, J M Pfeffer, 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 Journal of the American College of Radiology.

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.

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