Marc Cuggia
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare 9
- Electronic Health Records Systems 8
- Health Informatics top 2%
- Neurology top 5%
- Geriatrics and Gerontology top 5%
- Toxicology top 5%
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- Biomedical Text Mining and Ontologies 21
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- Data Quality and Management 12
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- Data-Driven Disease Surveillance 11
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- Machine Learning in Healthcare 9
- Semantic Web and Ontologies 9
- Topic Modeling 8
- Co-authors
- Guillaume BouzilléÉtienne GarinAnne DevillersÉveline BoucherJean‐Luc RaoulFlorence Le JeuneBoris Campillo‐GimenezDavid Glasspool
- Journals
- International Journal of Medical Informatics (5 papers)BMC Medical Informatics and Decision Making (5 papers)Yearbook of Medical Informatics (3 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 2 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 0 | |
| 13 | 2020 | 3 | |
| 14 | 2019 | 14 | |
| 15 | 2019 | 26 | |
| 16 | 2018 | 7 | |
| 17 | 2016 | 0 | |
| 18 | Automatic Selection of Clinical Trials Based on A Semantic Web Approach. | 2015 | 10 |
| 19 | 2014 | 3 | |
| 20 | From french EHR to NCI ontology via UMLS | 2010 | 1 |
About Marc Cuggia
Marc Cuggia is a scholar working on Medical Terminology, Health Information Management and Health Informatics, 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), Artificial Intelligence in Healthcare (9 papers), Machine Learning in Healthcare (9 papers), Semantic Web and Ontologies (9 papers), Topic Modeling (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) and Neurology (281 citations). Marc Cuggia has collaborated with scholars based in France, United States and Martinique. Frequent co-authors include Guillaume Bouzillé, Étienne Garin, Anne Devillers, Éveline Boucher, Jean‐Luc Raoul, 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.