Raphaël Veil
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Papers in
- Genetics 2
- Hemoglobinopathies and Related Disorders 2
- Genetic Associations and Epidemiology 1
- Co-authors
- C. Adamsbaum (2 shared papers)M. Dupuis (2 shared papers)Alexandra Rouquette (1 shared paper)Brigitte Ranque (2 shared papers)Anne‐Sophie Jannot (2 shared papers)Antoine Chéret (1 shared paper)David Rey (1 shared paper)Claudine Duvivier (1 shared paper)
- Journals
- Diagnostic and Interventional Imaging (2 papers)AIDS (1 paper)Journal of Clinical Medicine (1 paper)International Orthopaedics (1 paper)Frontiers in Public Health (1 paper)
- Partner nations
- FranceUnited KingdomSwitzerland
In The Last Decade
Raphaël Veil
8 papers receiving 103 citations
Peers
Comparison fields: 5 of 44
- Health Informatics 52
- Family Practice 7
- Radiology, Nuclear Medicine and Imaging 60
- Virology 8
- Health Information Management 6
Countries citing papers authored by Raphaël Veil
This map shows the geographic impact of Raphaël Veil'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 Raphaël Veil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Veil more than expected).
Fields of papers citing papers by Raphaël Veil
This network shows the impact of papers produced by Raphaël Veil. 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 Raphaël Veil. The network helps show where Raphaël Veil may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaël Veil, 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 | 2021 | 60 | |
| 2 | 2019 | 10 | |
| 3 | 2019 | 10 | |
| 4 | 2018 | 9 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 2 | |
| 8 | 2019 | 2 | |
| 9 | 2022 | 0 |
About Raphaël Veil
Raphaël Veil is a scholar working on Genetics, General Health Professions, Health Informatics, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 9 papers that have together received 103 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (2 papers), Autopsy Techniques and Outcomes (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), HIV Research and Treatment (1 paper), Cystic Fibrosis Research Advances (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Health Informatics (52 citations), Family Practice (7 citations), Radiology, Nuclear Medicine and Imaging (60 citations), Virology (8 citations) and Health Information Management (6 citations). Raphaël Veil has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include C. Adamsbaum, M. Dupuis, Alexandra Rouquette, Brigitte Ranque, Anne‐Sophie Jannot, Antoine Chéret, David Rey, Claudine Duvivier, Laurent Cotte and Agathe Guilloux. Their work appears in journals such as Diagnostic and Interventional Imaging, AIDS, Journal of Clinical Medicine, International Orthopaedics and Frontiers in Public Health.
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.