François Grimbert
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
-
- stochastic dynamics and bifurcation
Papers in
-
- Neural dynamics and brain function 8
-
- stochastic dynamics and bifurcation 6
- Co-authors
- Olivier Faugeras (7 shared papers)Romain Veltz (2 shared papers)Jean-Jacques Slotine (2 shared papers)Jianhua Cang (2 shared papers)Frédéric Chavane (1 shared paper)Liang Feng (1 shared paper)Miho Yoshida (1 shared paper)Xiaorong Liu (1 shared paper)
- Journals
- Neural Computation (3 papers)Journal of Neuroscience (2 papers)BMC Neuroscience (1 paper)SIAM Journal on Applied Mathematics (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (3 papers)
- Partner nations
- FranceUnited StatesBulgaria
In The Last Decade
François Grimbert
9 papers receiving 260 citations
Peers
Comparison fields: 5 of 37
- Cognitive Neuroscience 214
- Statistical and Nonlinear Physics 109
- Cellular and Molecular Neuroscience 87
- Computer Networks and Communications 74
- Computational Mathematics 1
Countries citing papers authored by François Grimbert
This map shows the geographic impact of François Grimbert'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 François Grimbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Grimbert more than expected).
Fields of papers citing papers by François Grimbert
This network shows the impact of papers produced by François Grimbert. 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 François Grimbert. The network helps show where François Grimbert may publish in the future.
Co-authors
The 10 scholars most cited alongside François Grimbert, 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 | 2006 | 126 | |
| 2 | 2008 | 31 | |
| 3 | 2008 | 30 | |
| 4 | 2008 | 26 | |
| 5 | 2012 | 19 | |
| 6 | 2011 | 15 | |
| 7 | Analysis of Jansen's model of a single cortical column | 2006 | 11 |
| 8 | Stability and Synchronization in Neural Fields | 2007 | 4 |
| 9 | Neural Field Model of VSD Optical Imaging Signals | 2007 | 4 |
| 10 | 2007 | 1 |
About François Grimbert
François Grimbert is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience, Computer Networks and Communications and Molecular Biology, having authored 10 papers that have together received 267 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), stochastic dynamics and bifurcation (6 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neural Networks and Applications (2 papers), Axon Guidance and Neuronal Signaling (1 paper), Zebrafish Biomedical Research Applications (1 paper) and Advanced Fluorescence Microscopy Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (214 citations), Statistical and Nonlinear Physics (109 citations), Cellular and Molecular Neuroscience (87 citations), Computer Networks and Communications (74 citations) and Computational Mathematics (1 citation). François Grimbert has collaborated with scholars based in France, United States and Bulgaria. Frequent co-authors include Olivier Faugeras, Romain Veltz, Jean-Jacques Slotine, Jianhua Cang, Frédéric Chavane, Liang Feng, Miho Yoshida, Xiaorong Liu, Krsna V. Rangarajan and David R. Copenhagen. Their work appears in journals such as Neural Computation, Journal of Neuroscience, BMC Neuroscience, SIAM Journal on Applied Mathematics and HAL (Le Centre pour la Communication Scientifique Directe).
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.