Thomas Ferté
Impact in
Papers in
-
- Data-Driven Disease Surveillance 1
-
- Cutaneous lymphoproliferative disorders research 2
- Co-authors
- Cécile Bébéar (1 shared paper)Charles Cazanave (1 shared paper)Marie‐Edith Lafon (2 shared papers)Patrick Dehail (1 shared paper)Denis Malvy (1 shared paper)Sébastien Cossin (1 shared paper)Vianney Jouhet (3 shared papers)Boris P. Hejblum (4 shared papers)
- Journals
- Public Health (1 paper)AIDS (1 paper)Acta Dermato Venereologica (1 paper)Journal of Biomedical Informatics (1 paper)American Journal of Obstetrics and Gynecology (1 paper)
- Partner nations
- FranceMozambiqueUnited States
In The Last Decade
Thomas Ferté
11 papers receiving 94 citations
Peers
Comparison fields: 5 of 45
- Health Information Management 10
- Health Informatics 3
- Computational Mathematics 1
- Infectious Diseases 22
- Occupational Therapy 5
Countries citing papers authored by Thomas Ferté
This map shows the geographic impact of Thomas Ferté'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 Thomas Ferté with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Ferté more than expected).
Fields of papers citing papers by Thomas Ferté
This network shows the impact of papers produced by Thomas Ferté. 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 Thomas Ferté. The network helps show where Thomas Ferté may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Ferté, 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 | [Health research methodology]. | 2023 | 33 |
| 2 | 2021 | 30 | |
| 3 | 2021 | 16 | |
| 4 | 2021 | 16 | |
| 5 | 2022 | 3 | |
| 6 | 2025 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2021 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 0 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2026 | 0 |
About Thomas Ferté
Thomas Ferté is a scholar working on Epidemiology, Dermatology, Artificial Intelligence, Infectious Diseases and Molecular Biology, having authored 15 papers that have together received 106 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (2 papers), Cutaneous lymphoproliferative disorders research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Artificial Intelligence in Healthcare (1 paper), Ferroptosis and cancer prognosis (1 paper), Data-Driven Disease Surveillance (1 paper), SARS-CoV-2 detection and testing (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Health Information Management (10 citations), Health Informatics (3 citations), Computational Mathematics (1 citation), Infectious Diseases (22 citations) and Occupational Therapy (5 citations). Thomas Ferté has collaborated with scholars based in France, Mozambique and United States. Frequent co-authors include Cécile Bébéar, Charles Cazanave, Marie‐Edith Lafon, Patrick Dehail, Denis Malvy, Sébastien Cossin, Vianney Jouhet, Boris P. Hejblum, Thierry Schaeverbeke and Anne Pham‐Ledard. Their work appears in journals such as Public Health, AIDS, Acta Dermato Venereologica, Journal of Biomedical Informatics and American Journal of Obstetrics and Gynecology.
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.