Romain Bey
Impact in
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- Artificial Intelligence in Healthcare and Education
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- COVID-19 and healthcare impacts
- Global Cancer Incidence and Screening
- Colorectal Cancer Screening and Detection
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 6
- COVID-19 and healthcare impacts 5
- Global Cancer Incidence and Screening 2
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- Machine Learning in Healthcare 4
- Co-authors
- Raphaël Porcher (1 shared paper)Mehdi Benchoufi (1 shared paper)Xavier Tannier (9 shared papers)Emmanuelle Kempf (8 shared papers)Gilles Châtellier (10 shared papers)Guillaume Lamé (7 shared papers)Christel Daniel (8 shared papers)Christophe Tournigand (7 shared papers)
- Journals
- European Journal of Cancer (2 papers)Journal of the American Medical Informatics Association (2 papers)International Journal of Cancer (2 papers)Proceedings of the National Academy of Sciences (1 paper)Cancer Medicine (1 paper)
- Partner nations
- France
In The Last Decade
Romain Bey
13 papers receiving 129 citations
Peers
Comparison fields: 5 of 74
- Health Informatics 9
- Oncology 66
- Health Information Management 6
- Geriatrics and Gerontology 4
- Artificial Intelligence 25
Countries citing papers authored by Romain Bey
This map shows the geographic impact of Romain Bey'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 Romain Bey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Romain Bey more than expected).
Fields of papers citing papers by Romain Bey
This network shows the impact of papers produced by Romain Bey. 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 Romain Bey. The network helps show where Romain Bey may publish in the future.
Co-authors
The 25 scholars most cited alongside Romain Bey, 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 | 2020 | 36 | |
| 2 | 2021 | 31 | |
| 3 | 2022 | 15 | |
| 4 | 2021 | 9 | |
| 5 | 2024 | 7 | |
| 6 | 2022 | 7 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 1 |
About Romain Bey
Romain Bey is a scholar working on Oncology, Artificial Intelligence, Molecular Biology, General Health Professions and Health Information Management, having authored 13 papers that have together received 131 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (5 papers), Machine Learning in Healthcare (4 papers), Economic and Financial Impacts of Cancer (2 papers), Healthcare cost, quality, practices (2 papers), Biomedical Text Mining and Ontologies (2 papers), Global Cancer Incidence and Screening (2 papers), Data Quality and Management (2 papers) and Clinical practice guidelines implementation (1 paper). The work is most often cited by research in Health Informatics (9 citations), Oncology (66 citations), Health Information Management (6 citations), Geriatrics and Gerontology (4 citations) and Artificial Intelligence (25 citations). Romain Bey has collaborated with scholars based in France. Frequent co-authors include Raphaël Porcher, Mehdi Benchoufi, Xavier Tannier, Emmanuelle Kempf, Gilles Châtellier, Guillaume Lamé, Christel Daniel, Christophe Tournigand, Ali Bellamine and N. Taright. Their work appears in journals such as European Journal of Cancer, Journal of the American Medical Informatics Association, International Journal of Cancer, Proceedings of the National Academy of Sciences and Cancer Medicine.
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.