Vincent Bourbonne
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Health Informatics top 10%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 24
- Medical Imaging Techniques and Applications 11
- MRI in cancer diagnosis 8
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- Lung Cancer Diagnosis and Treatment 10
- Prostate Cancer Diagnosis and Treatment 9
- Brain Metastases and Treatment 8
- Co-authors
- Ulrike Schick (51 shared papers)François Lucia (46 shared papers)Olivier Pradier (43 shared papers)Dimitris Visvikis (26 shared papers)Mathieu Hatt (17 shared papers)Gurvan Dissaux (22 shared papers)Vincent Jaouen (15 shared papers)Bogdan Badic (8 shared papers)
In The Last Decade
Vincent Bourbonne
64 papers receiving 627 citations
Peers
Comparison fields: 5 of 50
- Radiology, Nuclear Medicine and Imaging 316
- Health Informatics 12
- Pulmonary and Respiratory Medicine 230
- Radiation 51
- Obstetrics and Gynecology 39
Countries citing papers authored by Vincent Bourbonne
This map shows the geographic impact of Vincent Bourbonne'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 Vincent Bourbonne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Bourbonne more than expected).
Fields of papers citing papers by Vincent Bourbonne
This network shows the impact of papers produced by Vincent Bourbonne. 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 Vincent Bourbonne. The network helps show where Vincent Bourbonne may publish in the future.
Co-authors
The 25 scholars most cited alongside Vincent Bourbonne, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 59 | |
| 2 | 2020 | 50 | |
| 3 | 2019 | 48 | |
| 4 | 2020 | 48 | |
| 5 | 2019 | 42 | |
| 6 | 2021 | 22 | |
| 7 | 2022 | 20 | |
| 8 | 2021 | 20 | |
| 9 | 2021 | 19 | |
| 10 | 2023 | 18 | |
| 11 | 2023 | 17 | |
| 12 | 2020 | 15 | |
| 13 | 2023 | 12 | |
| 14 | 2021 | 12 | |
| 15 | 2019 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2022 | 10 | |
| 20 | 2020 | 10 |
About Vincent Bourbonne
Vincent Bourbonne is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Radiation and Genetics, having authored 73 papers that have together received 630 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (24 papers), Advanced Radiotherapy Techniques (12 papers), Medical Imaging Techniques and Applications (11 papers), Lung Cancer Diagnosis and Treatment (10 papers), Prostate Cancer Diagnosis and Treatment (9 papers), MRI in cancer diagnosis (8 papers), Brain Metastases and Treatment (8 papers) and Glioma Diagnosis and Treatment (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (316 citations), Health Informatics (12 citations), Pulmonary and Respiratory Medicine (230 citations), Radiation (51 citations) and Obstetrics and Gynecology (39 citations). Vincent Bourbonne has collaborated with scholars based in France, Canada and Belgium. Frequent co-authors include Ulrike Schick, François Lucia, Olivier Pradier, Dimitris Visvikis, Mathieu Hatt, Gurvan Dissaux, Vincent Jaouen, Bogdan Badic, V. Tissot and Julien Bert. Their work appears in journals such as Cancers, International Journal of Radiation Oncology*Biology*Physics, Translational Lung Cancer Research, Biomedicines and Radiotherapy and Oncology.
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.