Alexandre Bône
Impact in
-
- Dementia and Cognitive Impairment Research
-
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 9
-
- Medical Image Segmentation Techniques 6
- Advanced Neural Network Applications 3
- Co-authors
- Stanley Durrleman (9 shared papers)Maxime Louis (5 shared papers)Benoît Martin (1 shared paper)Olivier Colliot (5 shared papers)Stéphane Epelbaum (2 shared papers)Ninon Burgos (2 shared papers)Igor Koval (2 shared papers)Simona Bottani (2 shared papers)
- Journals
- Investigative Radiology (3 papers)Lecture notes in computer science (10 papers)International Journal of Computer Vision (1 paper)Diagnostic and Interventional Imaging (1 paper)JHEP Reports (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Alexandre Bône
23 papers receiving 338 citations
Peers
Comparison fields: 5 of 71
- Psychiatry and Mental health 57
- Radiology, Nuclear Medicine and Imaging 73
- Geometry and Topology 31
- Computer Vision and Pattern Recognition 68
- Neurology 22
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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 70 | |
| 2 | 2020 | 66 | |
| 3 | 2021 | 48 | |
| 4 | 2020 | 37 | |
| 5 | 2022 | 19 | |
| 6 | 2023 | 19 | |
| 7 | 2020 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2020 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2017 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2023 | 2 |
About Alexandre Bône
Alexandre Bône is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Geometry and Topology and Oncology, having authored 29 papers that have together received 340 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Medical Image Segmentation Techniques (6 papers), Morphological variations and asymmetry (6 papers), AI in cancer detection (4 papers), Advanced X-ray and CT Imaging (3 papers), Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). The work is most often cited by research in Psychiatry and Mental health (57 citations), Radiology, Nuclear Medicine and Imaging (73 citations), Geometry and Topology (31 citations), Computer Vision and Pattern Recognition (68 citations) and Neurology (22 citations). Alexandre Bône has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Stanley Durrleman, Maxime Louis, Benoît Martin, Olivier Colliot, Stéphane Epelbaum, Ninon Burgos, Igor Koval, Simona Bottani, Marc-Michel Rohé and Benjamin Charlier. Their work appears in journals such as Investigative Radiology, Lecture notes in computer science, International Journal of Computer Vision, Diagnostic and Interventional Imaging and JHEP Reports.
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.