Jean‐Christophe Comte
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Paul SalinP. MarquiéPascal RavassardPierre‐Hervé LuppiJean‐Marie BilbaultCarl C.H. PetersenLuc J. GentetNadia Urbain
- Topics
- Nonlinear Dynamics and Pattern Formation (14 papers)Neural dynamics and brain function (10 papers)Nonlinear Photonic Systems (10 papers)
- Partner nations
- FranceGreeceSwitzerland
In The Last Decade
Jean‐Christophe Comte
41 papers receiving 757 citations
Peers
Comparison fields: 5 of 85
- Cognitive Neuroscience 443
- Cellular and Molecular Neuroscience 234
- Statistical and Nonlinear Physics 207
- Computer Networks and Communications 139
- Atomic and Molecular Physics, and Optics 106
Countries citing papers authored by Jean‐Christophe Comte
This map shows the geographic impact of Jean‐Christophe Comte'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 Jean‐Christophe Comte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Christophe Comte more than expected).
Fields of papers citing papers by Jean‐Christophe Comte
This network shows the impact of papers produced by Jean‐Christophe Comte. 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 Jean‐Christophe Comte. The network helps show where Jean‐Christophe Comte may publish in the future.
Co-authorship network of co-authors of Jean‐Christophe Comte
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Christophe Comte. A scholar is included among the top collaborators of Jean‐Christophe Comte 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 Jean‐Christophe Comte. Jean‐Christophe Comte 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 | 0 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 82 | |
| 7 | 10 | |
| 8 | 17 | |
| 9 | 26 | |
| 10 | 51 | |
| 11 | 138 | |
| 12 | 5 | |
| 13 | 23 | |
| 14 | 29 | |
| 15 | 6 | |
| 16 | 20 | |
| 17 | 7 | |
| 18 | 26 | |
| 19 | 23 | |
| 20 | 7 |
About Jean‐Christophe Comte
Jean‐Christophe Comte is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 43 papers that have together received 763 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (14 papers), Neural dynamics and brain function (10 papers) and Nonlinear Photonic Systems (10 papers). The work is most often cited by research in Cognitive Neuroscience (443 citations), Statistical and Nonlinear Physics (207 citations) and Cellular and Molecular Neuroscience (234 citations). Jean‐Christophe Comte has collaborated with scholars based in France, Greece and Switzerland. Frequent co-authors include Paul Salin, P. Marquié, Pascal Ravassard, Pierre‐Hervé Luppi, Jean‐Marie Bilbault, Carl C.H. Petersen, Luc J. Gentet, Nadia Urbain, Paul‐Antoine Libourel and Monique Touret. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and Cerebral Cortex.
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.