Peter J. Embí

7.1k total citations · 1 hit paper
103 papers, 2.8k citations indexed

About

Peter J. Embí is a scholar working on Health Information Management, Public Health, Environmental and Occupational Health and General Health Professions. According to data from OpenAlex, Peter J. Embí has authored 103 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Health Information Management, 35 papers in Public Health, Environmental and Occupational Health and 27 papers in General Health Professions. Recurrent topics in Peter J. Embí's work include Electronic Health Records Systems (40 papers), Ethics in Clinical Research (20 papers) and Biomedical Text Mining and Ontologies (15 papers). Peter J. Embí is often cited by papers focused on Electronic Health Records Systems (40 papers), Ethics in Clinical Research (20 papers) and Biomedical Text Mining and Ontologies (15 papers). Peter J. Embí collaborates with scholars based in United States, United Kingdom and Switzerland. Peter J. Embí's co-authors include Philip Payne, Anthony C. Leonard, James J. Cimino, Po‐Yin Yen, Mark G. Weiner, George Hripcsak, William Hersh, Marcelo Lopetegui, Albert M. Lai and Harold P. Lehmann and has published in prestigious journals such as Nature, New England Journal of Medicine and JAMA.

In The Last Decade

Peter J. Embí

96 papers receiving 2.7k citations

Hit Papers

Caveats for the Use of Operational Electronic Health Reco... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter J. Embí United States 29 973 708 642 337 329 103 2.8k
Paul Dexter United States 27 843 0.9× 658 0.9× 686 1.1× 228 0.7× 392 1.2× 93 3.0k
Siaw‐Teng Liaw Australia 30 702 0.7× 669 0.9× 989 1.5× 383 1.1× 265 0.8× 174 3.1k
Heather McDonald Canada 13 1.3k 1.3× 522 0.7× 904 1.4× 239 0.7× 330 1.0× 37 3.5k
Hans‐Ulrich Prokosch Germany 27 1.0k 1.1× 660 0.9× 819 1.3× 530 1.6× 690 2.1× 214 3.4k
Eta S. Berner United States 26 1.0k 1.1× 754 1.1× 694 1.1× 336 1.0× 293 0.9× 115 3.0k
David A. Hanauer United States 34 587 0.6× 505 0.7× 983 1.5× 495 1.5× 560 1.7× 111 3.7k
Adam Wilcox United States 29 598 0.6× 317 0.4× 784 1.2× 387 1.1× 300 0.9× 100 2.4k
Justina Sam Canada 9 1.3k 1.3× 434 0.6× 606 0.9× 236 0.7× 334 1.0× 13 2.9k
Guilherme Del Fiol United States 30 921 0.9× 495 0.7× 816 1.3× 708 2.1× 635 1.9× 202 3.2k
John Halamka United States 29 684 0.7× 436 0.6× 613 1.0× 423 1.3× 152 0.5× 116 3.0k

Countries citing papers authored by Peter J. Embí

Since Specialization
Citations

This map shows the geographic impact of Peter J. Embí'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 Peter J. Embí with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Embí more than expected).

Fields of papers citing papers by Peter J. Embí

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Embí. 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 Peter J. Embí. The network helps show where Peter J. Embí may publish in the future.

Co-authorship network of co-authors of Peter J. Embí

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Embí. A scholar is included among the top collaborators of Peter J. Embí based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter J. Embí. Peter J. Embí is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Walsh, Colin G., Laurie L. Novak, Megan E. Salwei, et al.. (2025). AI-Driven Clinical Decision Support to Reduce Hospital-Acquired Venous Thromboembolism. JAMA Network Open. 8(10). e2535137–e2535137.
2.
Salwei, Megan E., Sharon E. Davis, Laurie L. Novak, et al.. (2025). Human-centered design of an artificial intelligence monitoring system: the Vanderbilt Algorithmovigilance Monitoring and Operations System. JAMIA Open. 8(5). ooaf136–ooaf136. 1 indexed citations
3.
Rowley, Elizabeth, Patrick K. Mitchell, Duck‐Hye Yang, et al.. (2025). Methods to Adjust for Confounding in Test-Negative Design COVID-19 Effectiveness Studies: Simulation Study. JMIR Formative Research. 9. e58981–e58981.
4.
5.
Yan, Chao, Alyson L. Dickson, Bingshan Li, et al.. (2024). Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer’s disease with real-world clinical validation. npj Digital Medicine. 7(1). 46–46. 29 indexed citations
6.
Wei, Wei‐Qi, Robb Rowley, Angela Wood, et al.. (2024). Improving reporting standards for phenotyping algorithm in biomedical research: 5 fundamental dimensions. Journal of the American Medical Informatics Association. 31(4). 1036–1041. 3 indexed citations
7.
Tachinardi, Umberto, Shaun J. Grannis, Jayme L. Dahlin, et al.. (2024). Privacy‐preserving record linkage across disparate institutions and datasets to enable a learning health system: The national COVID cohort collaborative (N3C) experience. Learning Health Systems. 8(1). e10404–e10404. 12 indexed citations
8.
Payne, Amanda B., Allison Avrich Ciesla, Elizabeth Rowley, et al.. (2023). Impact of accounting for correlation between COVID-19 and influenza vaccination in a COVID-19 vaccine effectiveness evaluation using a test-negative design. Vaccine. 41(51). 7581–7586.
10.
Yan, Chao, Xinmeng Zhang, Yuyang Yang, et al.. (2023). Differences in Health Professionals’ Engagement With Electronic Health Records Based on Inpatient Race and Ethnicity. JAMA Network Open. 6(10). e2336383–e2336383. 10 indexed citations
11.
Wright, Aileen P., et al.. (2022). Development and Validation of Inpatient Hypoglycemia Models Centered Around the Insulin Ordering Process. Journal of Diabetes Science and Technology. 18(2). 423–429. 5 indexed citations
12.
Schleyer, Titus, Linda S. Williams, Jonathan E. Gottlieb, et al.. (2021). The Indiana Learning Health System Initiative: Early experience developing a collaborative, regional learning health system. Learning Health Systems. 5(3). e10281–e10281. 11 indexed citations
13.
Dixon, Brian E., et al.. (2020). Table of Contents. 5–6. 1 indexed citations
14.
Madhavan, Subha, Lisa Bastarache, Jeffrey S. Brown, et al.. (2020). Use of Electronic Health Records to Support a Public Health Response to the COVID-19 Pandemic in the United States: A Perspective from Fifteen Academic Medical Centers. Publisher. 1 indexed citations
15.
Wright, Adam, Angela Ai, Joan S. Ash, et al.. (2017). Clinical decision support alert malfunctions: analysis and empirically derived taxonomy. Journal of the American Medical Informatics Association. 25(5). 496–506. 56 indexed citations
16.
Rutten, Lila J. Finney, Peter J. Embí, Charles P. Friedman, et al.. (2017). Patient-Centered Network of Learning Health Systems: Developing a resource for clinical translational research. Journal of Clinical and Translational Science. 1(1). 40–44. 13 indexed citations
17.
Payne, Philip & Peter J. Embí. (2014). Translational Informatics: Realizing the Promise of Knowledge-Driven Healthcare. Springer eBooks. 1 indexed citations
18.
Wright, Adam, Francine L. Maloney, Rachel Ramoni, et al.. (2014). Identifying Clinical Decision Support Failures using Change-point Detection.. AMIA. 2 indexed citations
19.
Embí, Peter J. & Philip Payne. (2009). Clinical Research Informatics: Challenges, Opportunities and Definition for an Emerging Domain. Journal of the American Medical Informatics Association. 16(3). 316–327. 104 indexed citations
20.
Soltani, Akbar, et al.. (2007). Perceived barriers to information access among medical residents in Iran: obstacles to answering clinical queries in settings with limited Internet accessibility.. PubMed. 523–7. 7 indexed citations

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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