Alexandre Bône
Impact in
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- Dementia and Cognitive Impairment Research
Papers in ⓘ
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- Radiomics and Machine Learning in Medical Imaging 7
- Medical Imaging Techniques and Applications 2
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- AI in cancer detection 4
- Co-authors
- Stanley Durrleman (4 shared papers)Olivier Colliot (3 shared papers)Igor Koval (2 shared papers)Simona Bottani (2 shared papers)Ninon Burgos (2 shared papers)Stéphane Epelbaum (2 shared papers)Marc-Michel Rohé (7 shared papers)Nassir Marrouche (1 shared paper)
- Journals
- Investigative Radiology (3 papers)Computers in Biology and Medicine (1 paper)JHEP Reports (1 paper)Scientific Reports (1 paper)International Journal of Computer Vision (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Alexandre Bône
15 papers receiving 195 citations
Peers
Comparison fields: 5 of 58
- Psychiatry and Mental health 52
- Neurology 23
- Radiology, Nuclear Medicine and Imaging 54
- Health Informatics 3
- Health Information Management 7
Countries citing papers authored by Alexandre Bône
This map shows the geographic impact of Alexandre Bône'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 Alexandre Bône with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Bône more than expected).
Fields of papers citing papers by Alexandre Bône
This network shows the impact of papers produced by Alexandre Bône. 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 Alexandre Bône. The network helps show where Alexandre Bône may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexandre Bône, 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 | 58 | |
| 2 | 2021 | 41 | |
| 3 | 2020 | 31 | |
| 4 | 2022 | 18 | |
| 5 | 2023 | 15 | |
| 6 | 2022 | 11 | |
| 7 | 2020 | 8 | |
| 8 | 2023 | 6 | |
| 9 | 2024 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Alexandre Bône
Alexandre Bône is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Oncology, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 196 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (4 papers), Medical Imaging Techniques and Applications (2 papers), Advanced X-ray and CT Imaging (2 papers), Hepatitis B Virus Studies (2 papers), Dementia and Cognitive Impairment Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Psychiatry and Mental health (52 citations), Neurology (23 citations), Radiology, Nuclear Medicine and Imaging (54 citations), Health Informatics (3 citations) and Health Information Management (7 citations). Alexandre Bône has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Stanley Durrleman, Olivier Colliot, Igor Koval, Simona Bottani, Ninon Burgos, Stéphane Epelbaum, Marc-Michel Rohé, Nassir Marrouche, Elina Thibeau–Sutre and Alan Morris. Their work appears in journals such as Investigative Radiology, Computers in Biology and Medicine, JHEP Reports, Scientific Reports and International Journal of Computer Vision.
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.