Marc Cuggia
Impact in
- Health Information Management top 0.5%
- Electronic Health Records Systems
- Health Informatics top 2%
Papers in
-
- Semantic Web and Ontologies 9
- Machine Learning in Healthcare 9
-
- Biomedical Text Mining and Ontologies 21
- Co-authors
- Guillaume Bouzillé (48 shared papers)Étienne Garin (5 shared papers)Anne Devillers (4 shared papers)Jean‐Luc Raoul (2 shared papers)Éveline Boucher (2 shared papers)Florence Le Jeune (3 shared papers)Boris Campillo‐Gimenez (14 shared papers)David Glasspool (2 shared papers)
- Journals
- International Journal of Medical Informatics (5 papers)BMC Medical Informatics and Decision Making (5 papers)Yearbook of Medical Informatics (3 papers)Scientific Reports (2 papers)JMIR Public Health and Surveillance (2 papers)
- Partner nations
- FranceUnited StatesMartinique
In The Last Decade
Marc Cuggia
100 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 126
- Health Information Management 256
- Health Informatics 72
- Neurology 281
- Geriatrics and Gerontology 62
- Toxicology 46
Countries citing papers authored by Marc Cuggia
This map shows the geographic impact of Marc Cuggia'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 Marc Cuggia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Cuggia more than expected).
Fields of papers citing papers by Marc Cuggia
This network shows the impact of papers produced by Marc Cuggia. 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 Marc Cuggia. The network helps show where Marc Cuggia may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Cuggia, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 170 | |
| 2 | 2014 | 137 | |
| 3 | 2014 | 133 | |
| 4 | 2010 | 105 | |
| 5 | 2011 | 65 | |
| 6 | 2021 | 37 | |
| 7 | 2022 | 36 | |
| 8 | 2017 | 34 | |
| 9 | 2019 | 31 | |
| 10 | 2011 | 30 | |
| 11 | 2004 | 29 | |
| 12 | 2019 | 26 | |
| 13 | 2003 | 26 | |
| 14 | 2018 | 23 | |
| 15 | 2013 | 21 | |
| 16 | 2021 | 21 | |
| 17 | 2011 | 19 | |
| 18 | 2017 | 19 | |
| 19 | 2018 | 18 | |
| 20 | 2017 | 18 |
About Marc Cuggia
Marc Cuggia is a scholar working on Artificial Intelligence, Molecular Biology, Health Information Management, Epidemiology and Public Health, Environmental and Occupational Health, having authored 106 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (21 papers), Data Quality and Management (12 papers), Data-Driven Disease Surveillance (11 papers), Semantic Web and Ontologies (9 papers), Machine Learning in Healthcare (9 papers), Artificial Intelligence in Healthcare (9 papers), Pharmaceutical Practices and Patient Outcomes (8 papers) and Electronic Health Records Systems (8 papers). The work is most often cited by research in Health Information Management (256 citations), Health Informatics (72 citations), Neurology (281 citations), Geriatrics and Gerontology (62 citations) and Toxicology (46 citations). Marc Cuggia has collaborated with scholars based in France, United States and Martinique. Frequent co-authors include Guillaume Bouzillé, Étienne Garin, Anne Devillers, Jean‐Luc Raoul, Éveline Boucher, Florence Le Jeune, Boris Campillo‐Gimenez, David Glasspool, Paolo Besana and C. Bouriel. Their work appears in journals such as International Journal of Medical Informatics, BMC Medical Informatics and Decision Making, Yearbook of Medical Informatics, Scientific Reports and JMIR Public Health and Surveillance.
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.