Benoît Presles
Impact in
- Radiation top 10%
- Advanced Radiotherapy Techniques
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
-
- Medical Image Segmentation Techniques 7
- Image and Object Detection Techniques 3
- Advanced Image and Video Retrieval Techniques 3
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- Medical Imaging Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- Johan Debayle (6 shared papers)David Sarrut (6 shared papers)Marie‐Claude Biston (5 shared papers)Simon Rit (5 shared papers)Alain Lalande (8 shared papers)Domènec Puig (1 shared paper)Santiago Romaní (1 shared paper)Mohamed Abdel‐Nasser (1 shared paper)
- Journals
- Physica Medica (5 papers)EJNMMI Research (2 papers)Physics in Medicine and Biology (2 papers)Magnetic Resonance Materials in Physics Biology and Medicine (1 paper)Journal of Microscopy (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Benoît Presles
32 papers receiving 361 citations
Peers
Comparison fields: 5 of 68
- Radiation 65
- Radiology, Nuclear Medicine and Imaging 97
- Computer Vision and Pattern Recognition 98
- Filtration and Separation 5
- Neurology 15
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 59 | |
| 2 | 2023 | 34 | |
| 3 | 2017 | 34 | |
| 4 | 2010 | 30 | |
| 5 | 2014 | 25 | |
| 6 | 2016 | 21 | |
| 7 | 2016 | 19 | |
| 8 | 2015 | 18 | |
| 9 | 2018 | 17 | |
| 10 | 2019 | 15 | |
| 11 | 2022 | 11 | |
| 12 | 2014 | 9 | |
| 13 | 2012 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2011 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2023 | 4 |
About Benoît Presles
Benoît Presles is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Radiation and Biomedical Engineering, having authored 32 papers that have together received 369 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Advanced Radiotherapy Techniques (5 papers), Aortic Disease and Treatment Approaches (4 papers), Medical Imaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Aortic aneurysm repair treatments (4 papers), Image and Object Detection Techniques (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Radiation (65 citations), Radiology, Nuclear Medicine and Imaging (97 citations), Computer Vision and Pattern Recognition (98 citations), Filtration and Separation (5 citations) and Neurology (15 citations). Benoît Presles has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Johan Debayle, David Sarrut, Marie‐Claude Biston, Simon Rit, Alain Lalande, Domènec Puig, Santiago Romaní, Mohamed Abdel‐Nasser, Jean‐Marc Vrigneaud and Farhan Akram. Their work appears in journals such as Physica Medica, EJNMMI Research, Physics in Medicine and Biology, Magnetic Resonance Materials in Physics Biology and Medicine and Journal of Microscopy.
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.