David Darmon
Impact in
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- Artificial Intelligence in Healthcare and Education
Papers in
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- Healthcare Systems and Practices 3
- Mobile Health and mHealth Applications 3
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- Artificial Intelligence in Healthcare and Education 2
- Co-authors
- Matthieu Schuers (8 shared papers)Aline Sarradon‐Eck (3 shared papers)Lola Auroy (1 shared paper)Chris van Weel (2 shared papers)Laurent Letrilliart (7 shared papers)Tim olde Hartman (1 shared paper)Pascal Staccini (6 shared papers)Hiske van Ravesteijn (1 shared paper)
- Journals
- Family Practice (3 papers)European Journal of General Practice (2 papers)JMIR mhealth and uhealth (2 papers)BMC Family Practice (1 paper)Journal of Medical Internet Research (1 paper)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
David Darmon
25 papers receiving 323 citations
Peers
Comparison fields: 5 of 85
- Health Informatics 9
- Family Practice 8
- Medical Terminology 1
- Health Information Management 17
- General Health Professions 86
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 68 | |
| 2 | 2011 | 64 | |
| 3 | 2021 | 51 | |
| 4 | 2013 | 23 | |
| 5 | 2019 | 22 | |
| 6 | 2021 | 20 | |
| 7 | 2024 | 11 | |
| 8 | 2020 | 10 | |
| 9 | 2019 | 8 | |
| 10 | 2015 | 7 | |
| 11 | 2011 | 7 | |
| 12 | 2019 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2015 | 5 | |
| 15 | 2015 | 5 | |
| 16 | 2018 | 5 | |
| 17 | 2018 | 4 | |
| 18 | 2017 | 3 | |
| 19 | 2019 | 2 | |
| 20 | [Factors associated with investment in an office medicine project by general practice residents]. | 2015 | 2 |
About David Darmon
David Darmon is a scholar working on General Health Professions, Health Informatics, Artificial Intelligence, Public Health, Environmental and Occupational Health and Computer Networks and Communications, having authored 27 papers that have together received 333 indexed citations. Recurring topics across this work include Healthcare Systems and Practices (3 papers), Mobile Health and mHealth Applications (3 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), Antibiotic Use and Resistance (1 paper) and Pharmaceutical industry and healthcare (1 paper). The work is most often cited by research in Health Informatics (9 citations), Family Practice (8 citations), Medical Terminology (1 citation), Health Information Management (17 citations) and General Health Professions (86 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, Chris van Weel, Laurent Letrilliart, Tim olde Hartman, Pascal Staccini, Hiske van Ravesteijn, Inge van Dijk and Floris van de Laar. Their work appears in journals such as Family Practice, European Journal of General Practice, JMIR mhealth and uhealth, BMC Family Practice and Journal of Medical Internet Research.
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.