Benoît Presles
Impact in
- Radiation top 10%
- Advanced Radiotherapy Techniques
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
Papers in
-
- Medical Imaging Techniques and Applications 7
- Radiomics and Machine Learning in Medical Imaging 6
- MRI in cancer diagnosis 4
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- Aortic aneurysm repair treatments 6
- Aortic Disease and Treatment Approaches 6
- Co-authors
- Johan Debayle (5 shared papers)Marie‐Claude Biston (5 shared papers)David Sarrut (6 shared papers)Simon Rit (5 shared papers)Alain Lalande (7 shared papers)P. Pommier (4 shared papers)Farhan Akram (1 shared paper)Mohamed Abdel‐Nasser (1 shared paper)
- Journals
- Physica Medica (5 papers)Physics in Medicine and Biology (2 papers)EJNMMI Research (2 papers)EJNMMI Physics (1 paper)Medical Physics (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Benoît Presles
29 papers receiving 326 citations
Peers
Comparison fields: 5 of 72
- Radiation 84
- Radiology, Nuclear Medicine and Imaging 142
- Computer Vision and Pattern Recognition 91
- Pulmonary and Respiratory Medicine 73
- Filtration and Separation 4
Countries citing papers authored by Benoît Presles
This map shows the geographic impact of Benoît Presles'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 Benoît Presles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Presles more than expected).
Fields of papers citing papers by Benoît Presles
This network shows the impact of papers produced by Benoît Presles. 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 Benoît Presles. The network helps show where Benoît Presles may publish in the future.
Co-authors
The 25 scholars most cited alongside Benoît Presles, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 56 | |
| 2 | 2023 | 28 | |
| 3 | 2017 | 28 | |
| 4 | 2010 | 27 | |
| 5 | 2014 | 24 | |
| 6 | 2016 | 21 | |
| 7 | 2016 | 18 | |
| 8 | 2015 | 18 | |
| 9 | 2018 | 16 | |
| 10 | 2019 | 14 | |
| 11 | 2022 | 11 | |
| 12 | 2014 | 9 | |
| 13 | 2012 | 9 | |
| 14 | 2021 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2011 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2010 | 4 |
About Benoît Presles
Benoît Presles is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Radiation and Biomedical Engineering, having authored 30 papers that have together received 332 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Advanced Radiotherapy Techniques (7 papers), Medical Image Segmentation Techniques (6 papers), Aortic aneurysm repair treatments (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Aortic Disease and Treatment Approaches (6 papers), MRI in cancer diagnosis (4 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Radiation (84 citations), Radiology, Nuclear Medicine and Imaging (142 citations), Computer Vision and Pattern Recognition (91 citations), Pulmonary and Respiratory Medicine (73 citations) and Filtration and Separation (4 citations). Benoît Presles has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Johan Debayle, Marie‐Claude Biston, David Sarrut, Simon Rit, Alain Lalande, P. Pommier, Farhan Akram, Mohamed Abdel‐Nasser, Santiago Romaní and Jean‐Marc Vrigneaud. Their work appears in journals such as Physica Medica, Physics in Medicine and Biology, EJNMMI Research, EJNMMI Physics and Medical Physics.
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.