Jérémie Mattout
- Cognitive Neuroscience top 0.5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Signal Processing top 1%
- Experimental and Cognitive Psychology top 2%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Karl FristonRichard N. HensonJames M. KilnerW.D. PennyChristophe PhillipsNelson J. Trujillo‐BarretoJohn AshburnerJean Daunizeau
- Topics
- Neural dynamics and brain function (40 papers)EEG and Brain-Computer Interfaces (35 papers)Functional Brain Connectivity Studies (29 papers)
- Partner nations
- FranceUnited KingdomCanada
In The Last Decade
Jérémie Mattout
88 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Cognitive Neuroscience 4.1k
- Radiology, Nuclear Medicine and Imaging 590
- Signal Processing 571
- Experimental and Cognitive Psychology 552
- Cellular and Molecular Neuroscience 463
Countries citing papers authored by Jérémie Mattout
This map shows the geographic impact of Jérémie Mattout'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 Jérémie Mattout with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérémie Mattout more than expected).
Fields of papers citing papers by Jérémie Mattout
This network shows the impact of papers produced by Jérémie Mattout. 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 Jérémie Mattout. The network helps show where Jérémie Mattout may publish in the future.
Co-authorship network of co-authors of Jérémie Mattout
This figure shows the co-authorship network connecting the top 25 collaborators of Jérémie Mattout. A scholar is included among the top collaborators of Jérémie Mattout 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 Jérémie Mattout. Jérémie Mattout is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 5 | |
| 7 | 28 | |
| 8 | 28 | |
| 9 | 8 | |
| 10 | 62 | |
| 11 | Inter- and intra-expert variability in sleep scoring: comparison between visual and automatic analysis | 1 |
| 12 | 2 | |
| 13 | 26 | |
| 14 | 32 | |
| 15 | 22 | |
| 16 | 183 | |
| 17 | 90 | |
| 18 | Multiple sparse priors for the M/EEG inverse problembreakdown → | 457 |
| 19 | 75 | |
| 20 | 167 |
About Jérémie Mattout
Jérémie Mattout is a scholar working on Cognitive Neuroscience, Signal Processing and Cellular and Molecular Neuroscience, having authored 90 papers that have together received 4.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (40 papers), EEG and Brain-Computer Interfaces (35 papers) and Functional Brain Connectivity Studies (29 papers). The work is most often cited by research in Cognitive Neuroscience (4.1k citations), Signal Processing (571 citations) and Experimental and Cognitive Psychology (552 citations). Jérémie Mattout has collaborated with scholars based in France, United Kingdom and Canada. Frequent co-authors include Karl Friston, Richard N. Henson, James M. Kilner, W.D. Penny, Christophe Phillips, Nelson J. Trujillo‐Barreto, John Ashburner, Jean Daunizeau, Guillaume Flandin and Stefan J. Kiebel. Their work appears in journals such as NeuroImage, Brain and Journal of Neurophysiology.
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.