Benoît Scherrer
Impact in
- Computational Mathematics top 2%
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
Papers in ⓘ
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- Tensor decomposition and applications 7
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- Advanced Neuroimaging Techniques and Applications 37
- Advanced MRI Techniques and Applications 26
- MRI in cancer diagnosis 15
- Co-authors
- Simon K. Warfield (54 shared papers)Mustafa Şahin (23 shared papers)Ali Gholipour (11 shared papers)Sanjay P. Prabhu (19 shared papers)Maxime Taquet (20 shared papers)Jurriaan M. Peters (18 shared papers)Florence Forbes (6 shared papers)Michel Dojat (6 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (5 papers)Magnetic Resonance in Medicine (4 papers)NeuroImage (4 papers)Medical Image Analysis (3 papers)Gastroenterology (3 papers)
- Partner nations
- United StatesFranceBelgium
In The Last Decade
Benoît Scherrer
72 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Computational Mathematics 53
- Radiology, Nuclear Medicine and Imaging 704
- Pediatrics, Perinatology and Child Health 343
- Cognitive Neuroscience 210
- Physiology 275
Countries citing papers authored by Benoît Scherrer
This map shows the geographic impact of Benoît Scherrer'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 Scherrer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Scherrer more than expected).
Fields of papers citing papers by Benoît Scherrer
This network shows the impact of papers produced by Benoît Scherrer. 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 Scherrer. The network helps show where Benoît Scherrer may publish in the future.
Co-authors
The 25 scholars most cited alongside Benoît Scherrer, 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 | 2011 | 103 | |
| 2 | 2012 | 96 | |
| 3 | 2015 | 76 | |
| 4 | 2019 | 74 | |
| 5 | 2007 | 69 | |
| 6 | 2012 | 61 | |
| 7 | 2017 | 55 | |
| 8 | 2009 | 52 | |
| 9 | 2012 | 51 | |
| 10 | 2016 | 39 | |
| 11 | 2021 | 37 | |
| 12 | 2019 | 33 | |
| 13 | 2019 | 31 | |
| 14 | 2016 | 30 | |
| 15 | 2013 | 29 | |
| 16 | 2013 | 29 | |
| 17 | 2020 | 27 | |
| 18 | 2018 | 27 | |
| 19 | 2017 | 27 | |
| 20 | 2015 | 24 |
About Benoît Scherrer
Benoît Scherrer is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Orthopedics and Sports Medicine and Gastroenterology, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (37 papers), Advanced MRI Techniques and Applications (26 papers), Fetal and Pediatric Neurological Disorders (22 papers), MRI in cancer diagnosis (15 papers), Tuberous Sclerosis Complex Research (11 papers), Tensor decomposition and applications (7 papers), Medical Image Segmentation Techniques (7 papers) and Functional Brain Connectivity Studies (6 papers). The work is most often cited by research in Computational Mathematics (53 citations), Radiology, Nuclear Medicine and Imaging (704 citations), Pediatrics, Perinatology and Child Health (343 citations), Cognitive Neuroscience (210 citations) and Physiology (275 citations). Benoît Scherrer has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Simon K. Warfield, Mustafa Şahin, Ali Gholipour, Sanjay P. Prabhu, Maxime Taquet, Jurriaan M. Peters, Florence Forbes, Michel Dojat, Catherine Garbay and Anna K. Prohl. Their work appears in journals such as IEEE Transactions on Medical Imaging, Magnetic Resonance in Medicine, NeuroImage, Medical Image Analysis and Gastroenterology.
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.