Michael A. Pfeffer

6.8k citations
57 papers · 2.2k indexed · 5 hit papers · h-index 24

Michael A. Pfeffer

52 papers receiving 2.1k citations

Hit Papers

Physician Perspectives on A...22202320262024202550100150200

Peers

Michael A. Pfeffer
Comparison fields: 5 of 157
  • Health Informatics 497
  • Health Information Management 184
  • Family Practice 49
  • Biochemistry 141
  • Nutrition and Dietetics 250
Replace Wei‐Qi Wei with:
Wei‐Qi Wei United States
Akihiro Nomura Japan
Steven A. Lubitz United States
Tahmina Nasrin Poly Taiwan
Seng Chan You South Korea
Suzette J. Bielinski United States
Evangelos K. Oikonomou United States
Christopher Sharp United States
Ken Sikaris Australia
Bradley A. Maron United States
Michael A. Pfeffer relative to Wei‐Qi Wei United States Wei‐Qi Wei's profile →
Citations per field
00.5×10.8×
Wei‐Qi Wei · 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-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.

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
#Work
1 20256
2 20250
3 202416
4 202440
5 20241
6 20241
7 20231
8 2023143
9 20231
10 202317
11 202010
12 20202
13 20188
14 201617
15 20148
16 2012153
17 201083
18 201064
19 199029
20 199042

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.

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