John Halamka

6.2k total citations · 1 hit paper
116 papers, 3.0k citations indexed

About

John Halamka is a scholar working on Health Information Management, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, John Halamka has authored 116 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Health Information Management, 25 papers in Public Health, Environmental and Occupational Health and 16 papers in Infectious Diseases. Recurrent topics in John Halamka's work include Electronic Health Records Systems (32 papers), Ethics in Clinical Research (11 papers) and Artificial Intelligence in Healthcare and Education (11 papers). John Halamka is often cited by papers focused on Electronic Health Records Systems (32 papers), Ethics in Clinical Research (11 papers) and Artificial Intelligence in Healthcare and Education (11 papers). John Halamka collaborates with scholars based in United States, United Kingdom and Israel. John Halamka's co-authors include John Torous, Aditya Vaidyam, Kenneth D. Mandl, Hannah Wisniewski, Paul C. Tang, Micky Tripathi, Venky Soundararajan, Andrew D. Badley, John C. O’Horo and AJ Venkatakrishnan and has published in prestigious journals such as New England Journal of Medicine, JAMA and Circulation.

In The Last Decade

John Halamka

110 papers receiving 2.9k citations

Hit Papers

Chatbots and Conversational Agents in Mental Health: A Re... 2019 2026 2021 2023 2019 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Halamka United States 29 684 613 482 436 423 116 3.0k
Adam Landman United States 30 476 0.7× 936 1.5× 432 0.9× 492 1.1× 230 0.5× 122 3.0k
Mowafa Househ Qatar 38 478 0.7× 1.4k 2.3× 998 2.1× 716 1.6× 950 2.2× 255 5.7k
Arnold Milstein United States 37 313 0.5× 1.5k 2.5× 190 0.4× 626 1.4× 486 1.1× 142 5.1k
Dominic King United Kingdom 27 313 0.5× 902 1.5× 338 0.7× 536 1.2× 672 1.6× 64 4.2k
Farah Magrabi Australia 34 1.2k 1.7× 984 1.6× 524 1.1× 553 1.3× 734 1.7× 127 3.9k
Ida Sim United States 35 1.2k 1.7× 963 1.6× 258 0.5× 917 2.1× 790 1.9× 112 4.9k
Chris Longhurst United States 35 1.2k 1.8× 1.3k 2.0× 153 0.3× 993 2.3× 655 1.5× 192 5.5k
Leslie Lenert United States 38 389 0.6× 1.1k 1.8× 127 0.3× 616 1.4× 296 0.7× 181 4.2k
Felix Greaves United Kingdom 31 244 0.4× 2.1k 3.4× 536 1.1× 822 1.9× 235 0.6× 88 4.6k
Joseph Finkelstein United States 34 236 0.3× 1.2k 2.0× 286 0.6× 731 1.7× 191 0.5× 295 4.6k

Countries citing papers authored by John Halamka

Since Specialization
Citations

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

Fields of papers citing papers by John Halamka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Halamka. 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 John Halamka. The network helps show where John Halamka may publish in the future.

Co-authorship network of co-authors of John Halamka

This figure shows the co-authorship network connecting the top 25 collaborators of John Halamka. A scholar is included among the top collaborators of John Halamka 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 John Halamka. John Halamka 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.
Feng, Jun, Ahmed Abdelhameed, Jianfu Li, et al.. (2026). Accelerating AI innovation in healthcare: real-world clinical research applications on the Mayo Clinic Platform. PubMed. 3(1). 17–17.
2.
Hill, Benjamin D., et al.. (2025). A Comprehensive Approach to Responsible AI Development and Deployment. PubMed. 3(4). 100294–100294. 1 indexed citations
3.
Noseworthy, Peter A., et al.. (2023). Data-Driven and Technology-Enabled Trial Innovations Toward Decentralization of Clinical Trials: Opportunities and Considerations. Mayo Clinic Proceedings. 98(9). 1404–1421. 9 indexed citations
4.
Knight, Dacre, Christopher A. Aakre, Christopher V. Anstine, et al.. (2023). Artificial intelligence for patient scheduling in the real-world health care setting: A metanarrative review. Health Policy and Technology. 12(4). 100824–100824. 23 indexed citations
5.
Juhn, Young J., Euijung Ryu, Chung‐Il Wi, et al.. (2022). Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index. Journal of the American Medical Informatics Association. 29(7). 1142–1151. 34 indexed citations
6.
Attia, Zachi I., David Harmon, Jennifer Dugan, et al.. (2022). Prospective evaluation of smartwatch-enabled detection of left ventricular dysfunction. Nature Medicine. 28(12). 2497–2503. 75 indexed citations
7.
Halamka, John, et al.. (2022). Addressing racial disparities in surgical care with machine learning. npj Digital Medicine. 5(1). 152–152. 9 indexed citations
8.
Wu, Tiffany, Douglas A. Simonetto, John Halamka, & Vijay H. Shah. (2022). The digital transformation of hepatology: The patient is logged in. Hepatology. 75(3). 724–739. 16 indexed citations
9.
Pawlowski, Colin, Patrick J. Lenehan, Arjun Puranik, et al.. (2021). FDA-authorized mRNA COVID-19 vaccines are effective per real-world evidence synthesized across a multi-state health system. Med. 2(8). 979–992.e8. 112 indexed citations
10.
Halamka, John, et al.. (2021). Blockchain Integration With Digital Technology and the Future of Health Care Ecosystems: Systematic Review. Journal of Medical Internet Research. 23(11). e19846–e19846. 42 indexed citations
11.
Campion, Francis X., Nilay D. Shah, Jennifer C. Goldsack, et al.. (2021). COVID-19 Telehealth Impact Study. 9 indexed citations
12.
Pawlowski, Colin, Arjun Puranik, AJ Venkatakrishnan, et al.. (2020). Inference from longitudinal laboratory tests characterizes temporal evolution of COVID-19-associated coagulopathy (CAC). eLife. 9. 23 indexed citations
13.
Halamka, John, et al.. (2019). An FP's guide to AI-enabled clinical decision support.. PubMed. 68(9). 486;488;490;492–486;488;490;492. 1 indexed citations
14.
Blease, Charlotte, Ted J. Kaptchuk, Michael H. Bernstein, et al.. (2018). Artificial Intelligence and the Future of Primary Care: Exploratory Qualitative Study of UK General Practitioners’ Views. Journal of Medical Internet Research. 21(3). e12802–e12802. 179 indexed citations
15.
Halamka, John, et al.. (2018). Early Experiences with Blockchain and EHRs. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Halamka, John, et al.. (2018). Cut to the Chase: No Nonsense Guidelines for Blockchain Startups. SHILAP Revista de lepidopterología. 1 indexed citations
17.
Simons, William Walter, et al.. (2006). Integration of the Personally Controlled Electronic Medical Record into a Regional and Data Exchange: A National Demonstration.. American Medical Informatics Association Annual Symposium. 2006. 1099.
18.
Mostaghimi, Arash, Julie H. Levison, Robert D. Leffert, et al.. (2006). The Doctor's New Black Bag: Instructional Technology and the Tools of the 21 st Century Physician. Medical Education Online. 3 indexed citations
19.
Halamka, John. (2006). The perfect storm for electronic health records.. PubMed. 20(3). 25–7. 8 indexed citations
20.
Iserson, Kenneth V., James G. Adams, William H. Cordell, et al.. (1999). Academic Emergency Medicine's Future. Academic Emergency Medicine. 6(2). 137–144. 4 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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