Benoît Scherrer

2.4k citations
73 papers · 1.5k indexed · h-index 23

Impact in

Papers in

Benoît Scherrer

72 papers receiving 1.4k citations

Peers

Benoît Scherrer
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
Replace Marina Barysheva with:
Marina Barysheva Australia
Olivier Commowick France
Yaniv Gur United States
Eleftherios Garyfallidis United States
Ali Tabesh United States
Alessandro Daducci Italy
M. Okan İrfanoğlu United States
Peter Savadjiev United States
Birkan Tunç United States
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Citations per field
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Citations per year

Countries citing papers authored by Benoît Scherrer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Benoît Scherrer Line = papers co-authored together Benoît Scherrer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011103
2 201296
3 201576
4 201974
5 200769
6 201261
7 201755
8 200952
9 201251
10 201639
11 202137
12 201933
13 201931
14 201630
15 201329
16 201329
17 202027
18 201827
19 201727
20 201524

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.

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