Matthieu Perrot

28 total papers · 63.8k total citations
17 papers, 368 citations indexed

About

Matthieu Perrot is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matthieu Perrot has authored 17 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Cognitive Neuroscience and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matthieu Perrot's work include Functional Brain Connectivity Studies (6 papers), Medical Image Segmentation Techniques (4 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Matthieu Perrot is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Medical Image Segmentation Techniques (4 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Matthieu Perrot collaborates with scholars based in France, United States and Switzerland. Matthieu Perrot's co-authors include Jean‐François Mangin, Denis Rivière, Stefan Klöppel, Hartwig R. Siebner, R. S. J. Frackowiak, Alan Tucholka, Christopher D. Molteno, Joseph L. Jacobson, Sandra W. Jacobson and Ernesta M. Meintjes and has published in prestigious journals such as NeuroImage, Human Brain Mapping and Medical Image Analysis.

In The Last Decade

Matthieu Perrot

16 papers receiving 363 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Matthieu Perrot 221 155 85 46 32 17 368
Kristina Denisova 289 1.3× 33 0.2× 29 0.3× 30 0.7× 36 1.1× 19 353
Emma J. Moore 95 0.4× 52 0.3× 88 1.0× 20 0.4× 14 0.4× 13 382
Caroline Brun 79 0.4× 263 1.7× 48 0.6× 47 1.0× 45 1.4× 11 429
Emanuel Wenger 107 0.5× 145 0.9× 100 1.2× 23 0.5× 35 1.1× 21 338
Zheen Zhao 79 0.4× 223 1.4× 71 0.8× 61 1.3× 48 1.5× 15 388
Zhuang Song 157 0.7× 134 0.9× 68 0.8× 108 2.3× 78 2.4× 23 402
Min Lü 250 1.1× 180 1.2× 16 0.2× 11 0.2× 26 0.8× 23 426
Eelke Visser 145 0.7× 178 1.1× 34 0.4× 19 0.4× 41 1.3× 21 401
Ömer Faruk Gülban 312 1.4× 232 1.5× 17 0.2× 12 0.3× 13 0.4× 28 408
KK Seunarine 114 0.5× 354 2.3× 74 0.9× 14 0.3× 38 1.2× 7 408

Countries citing papers authored by Matthieu Perrot

Since Specialization
Citations

This map shows the geographic impact of Matthieu Perrot'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 Matthieu Perrot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthieu Perrot more than expected).

Fields of papers citing papers by Matthieu Perrot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthieu Perrot. 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 Matthieu Perrot. The network helps show where Matthieu Perrot may publish in the future.

Co-authorship network of co-authors of Matthieu Perrot

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Perrot. A scholar is included among the top collaborators of Matthieu Perrot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthieu Perrot. Matthieu Perrot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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