Matthieu Perrot
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Hemispheric Asymmetry in Neuroscience
- Neural dynamics and brain function
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
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- Medical Image Segmentation Techniques 4
- Image Retrieval and Classification Techniques 2
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- Functional Brain Connectivity Studies 6
- Co-authors
- Jean‐François Mangin (9 shared papers)Denis Rivière (7 shared papers)Hartwig R. Siebner (1 shared paper)Stefan Klöppel (1 shared paper)R. S. J. Frackowiak (1 shared paper)Alan Tucholka (3 shared papers)Christopher D. Molteno (1 shared paper)Joseph L. Jacobson (1 shared paper)
- Journals
- Medical Image Analysis (2 papers)Human Brain Mapping (1 paper)NeuroImage (1 paper)Lecture notes in computer science (6 papers)Electronic Imaging (2 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Matthieu Perrot
16 papers receiving 369 citations
Peers
Comparison fields: 5 of 68
- Cognitive Neuroscience 204
- Radiology, Nuclear Medicine and Imaging 141
- Pediatrics, Perinatology and Child Health 80
- Geometry and Topology 21
- Neurology 18
Countries citing papers authored by Matthieu Perrot
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
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-authors
The 25 scholars most cited alongside Matthieu Perrot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 96 | |
| 2 | 2011 | 96 | |
| 3 | 2013 | 50 | |
| 4 | 2016 | 25 | |
| 5 | 2009 | 20 | |
| 6 | 2009 | 19 | |
| 7 | 2008 | 10 | |
| 8 | 2009 | 10 | |
| 9 | 2008 | 10 | |
| 10 | 2009 | 8 | |
| 11 | 2014 | 8 | |
| 12 | 2011 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2017 | 3 | |
| 16 | 2019 | 2 | |
| 17 | 2022 | 0 |
About Matthieu Perrot
Matthieu Perrot is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Signal Processing and Computational Mechanics, having authored 17 papers that have together received 373 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Medical Image Segmentation Techniques (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Blind Source Separation Techniques (2 papers), Advanced MRI Techniques and Applications (2 papers), Image Retrieval and Classification Techniques (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (204 citations), Radiology, Nuclear Medicine and Imaging (141 citations), Pediatrics, Perinatology and Child Health (80 citations), Geometry and Topology (21 citations) and Neurology (18 citations). Matthieu Perrot has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Jean‐François Mangin, Denis Rivière, Hartwig R. Siebner, Stefan Klöppel, R. S. J. Frackowiak, Alan Tucholka, Christopher D. Molteno, Joseph L. Jacobson, Ernesta M. Meintjes and Sandra W. Jacobson. Their work appears in journals such as Medical Image Analysis, Human Brain Mapping, NeuroImage, Lecture notes in computer science and Electronic Imaging.
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.