John Halamka

110 papers receiving 3.0k citations

John Halamka's Hit Papers

Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric Landscape 2019 · 586 citations
5860+2+4Years since publication100200300400500

Peers

John Halamka
Comparison fields: 5 of 146
  • Health Informatics 380
  • Health Information Management 541
  • Applied Psychology 440
  • Medical Terminology 19
  • Infectious Diseases 338
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Citations per year

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-authors

The 25 scholars most cited alongside John Halamka, 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 John Halamka Line = papers co-authored together John Halamka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric Landscape
Hit paper breakdown →
2019586
2 2007244
3 2018190
4 2016139
5 2021112
6 202283
7 202178
8 201876
9 202367
10 202160
11 201755
12 200654
13 202253
14 200552
15 200549
16 200649
17 201448
18 202146
19 202242
20 202241

About John Halamka

John Halamka is a scholar working on Health Information Management, Public Health, Environmental and Occupational Health, Infectious Diseases, General Health Professions and Health Informatics, having authored 117 papers that have together received 3.2k indexed citations. Recurring topics across this work include Electronic Health Records Systems (30 papers), Artificial Intelligence in Healthcare and Education (11 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Ethics in Clinical Research (9 papers), Biomedical Text Mining and Ontologies (8 papers), Data Quality and Management (7 papers), COVID-19 Clinical Research Studies (7 papers) and Telemedicine and Telehealth Implementation (6 papers). The work is most often cited by research in Health Informatics (380 citations), Health Information Management (541 citations), Applied Psychology (440 citations), Medical Terminology (19 citations) and Infectious Diseases (338 citations). John Halamka has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include John Torous, Aditya Vaidyam, Kenneth D. Mandl, Hannah Wisniewski, Paul C. Tang, Micky Tripathi, Venky Soundararajan, John C. O’Horo, Andrew D. Badley and Catherine M. DesRoches. Their work appears in journals such as Journal of the American Medical Informatics Association, npj Digital Medicine, Health Affairs, Academic Emergency Medicine and Mayo Clinic Proceedings.

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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