David Darmon
Impact in
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- Artificial Intelligence in Healthcare and Education
- Health Information Management top 10%
- Electronic Health Records Systems
Papers in
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- Healthcare Systems and Practices 3
- Mobile Health and mHealth Applications 3
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- Machine Learning in Healthcare 2
- Co-authors
- Matthieu Schuers (8 shared papers)Aline Sarradon‐Eck (3 shared papers)Lola Auroy (1 shared paper)Laurent Letrilliart (7 shared papers)Pascal Staccini (6 shared papers)Chris van Weel (2 shared papers)Hiske van Ravesteijn (1 shared paper)Inge van Dijk (1 shared paper)
- Journals
- Family Practice (3 papers)JMIR mhealth and uhealth (2 papers)European Journal of General Practice (2 papers)Journal of Medical Internet Research (1 paper)International Journal of Medical Informatics (1 paper)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
David Darmon
26 papers receiving 338 citations
Peers
Comparison fields: 5 of 88
- Health Informatics 10
- Health Information Management 22
- Family Practice 8
- Medical Terminology 1
- General Health Professions 88
Countries citing papers authored by David Darmon
This map shows the geographic impact of David Darmon'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 David Darmon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Darmon more than expected).
Fields of papers citing papers by David Darmon
This network shows the impact of papers produced by David Darmon. 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 David Darmon. The network helps show where David Darmon may publish in the future.
Co-authors
The 25 scholars most cited alongside David Darmon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 68 | |
| 2 | 2011 | 66 | |
| 3 | 2021 | 52 | |
| 4 | 2013 | 23 | |
| 5 | 2019 | 22 | |
| 6 | 2021 | 20 | |
| 7 | 2024 | 12 | |
| 8 | 2020 | 10 | |
| 9 | 2019 | 8 | |
| 10 | 2011 | 8 | |
| 11 | 2015 | 7 | |
| 12 | 2019 | 7 | |
| 13 | 2015 | 6 | |
| 14 | 2019 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2015 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2018 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2022 | 3 |
About David Darmon
David Darmon is a scholar working on General Health Professions, Artificial Intelligence, Health Informatics, Public Health, Environmental and Occupational Health and Computer Networks and Communications, having authored 28 papers that have together received 349 indexed citations. Recurring topics across this work include Healthcare Systems and Practices (3 papers), Mobile Health and mHealth Applications (3 papers), Machine Learning in Healthcare (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Clinical practice guidelines implementation (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Advanced Malware Detection Techniques (1 paper) and Antibiotic Use and Resistance (1 paper). The work is most often cited by research in Health Informatics (10 citations), Health Information Management (22 citations), Family Practice (8 citations), Medical Terminology (1 citation) and General Health Professions (88 citations). David Darmon has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Matthieu Schuers, Aline Sarradon‐Eck, Lola Auroy, Laurent Letrilliart, Pascal Staccini, Chris van Weel, Hiske van Ravesteijn, Inge van Dijk, Tim olde Hartman and Anne Speckens. Their work appears in journals such as Family Practice, JMIR mhealth and uhealth, European Journal of General Practice, Journal of Medical Internet Research and International Journal of Medical Informatics.
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.