B. Rigaud
Impact in
- Radiation top 1%
- Advanced Radiotherapy Techniques
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
- Radiation 31
- Advanced Radiotherapy Techniques 31
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- Medical Image Segmentation Techniques 11
- Co-authors
- R. de Crevoisier (17 shared papers)Antoine Simon (16 shared papers)Joël Castelli (11 shared papers)Caroline Lafond (11 shared papers)Pascal Haigron (10 shared papers)Guillaume Cazoulat (15 shared papers)Kristy K. Brock (21 shared papers)Oscar Acosta (6 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (7 papers)Medical Physics (4 papers)Physics in Medicine and Biology (4 papers)Radiotherapy and Oncology (3 papers)Acta Oncologica (3 papers)
- Partner nations
- United StatesFranceSweden
In The Last Decade
B. Rigaud
40 papers receiving 864 citations
Peers
Comparison fields: 5 of 42
- Radiation 541
- Health Informatics 33
- Hepatology 83
- Computer Vision and Pattern Recognition 211
- Otorhinolaryngology 30
Countries citing papers authored by B. Rigaud
This map shows the geographic impact of B. Rigaud'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 B. Rigaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Rigaud more than expected).
Fields of papers citing papers by B. Rigaud
This network shows the impact of papers produced by B. Rigaud. 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 B. Rigaud. The network helps show where B. Rigaud may publish in the future.
Co-authors
The 25 scholars most cited alongside B. Rigaud, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 112 | |
| 2 | 2018 | 99 | |
| 3 | 2020 | 83 | |
| 4 | 2020 | 64 | |
| 5 | 2015 | 58 | |
| 6 | 2016 | 51 | |
| 7 | 2023 | 51 | |
| 8 | 2018 | 39 | |
| 9 | 2018 | 28 | |
| 10 | 2016 | 27 | |
| 11 | 2017 | 23 | |
| 12 | 2022 | 23 | |
| 13 | 2025 | 23 | |
| 14 | 2019 | 19 | |
| 15 | 2022 | 19 | |
| 16 | 2022 | 18 | |
| 17 | 2021 | 14 | |
| 18 | 2018 | 13 | |
| 19 | 2022 | 13 | |
| 20 | 2015 | 12 |
About B. Rigaud
B. Rigaud is a scholar working on Radiation, Computer Vision and Pattern Recognition, Hepatology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 872 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (31 papers), Medical Image Segmentation Techniques (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Oral health in cancer treatment (2 papers), AI in cancer detection (1 paper), Ultrasound in Clinical Applications (1 paper), Elasticity and Material Modeling (1 paper) and Multiple and Secondary Primary Cancers (1 paper). The work is most often cited by research in Radiation (541 citations), Health Informatics (33 citations), Hepatology (83 citations), Computer Vision and Pattern Recognition (211 citations) and Otorhinolaryngology (30 citations). B. Rigaud has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include R. de Crevoisier, Antoine Simon, Joël Castelli, Caroline Lafond, Pascal Haigron, Guillaume Cazoulat, Kristy K. Brock, Oscar Acosta, É. Chajon and Juan David Ospina. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Physics in Medicine and Biology, Radiotherapy and Oncology and Acta Oncologica.
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.