Claude Meunier
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- stochastic dynamics and bifurcation 3
- Advanced Thermodynamics and Statistical Mechanics 1
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- Neural dynamics and brain function 4
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- Neuroscience and Neural Engineering 2
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- Neural Networks and Applications 2
- Neural Networks and Reservoir Computing 2
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- Nonlinear Dynamics and Pattern Formation 2
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- Force Microscopy Techniques and Applications 1
- Co-authors
- Pierre LochakIdan SegevMichael LondonШун-ичи АмариH. YanaiBoris Lamotte d’IncampsDaniel Zytnicki
- Journals
- Biological Cybernetics (2 papers)Network Computation in Neural Systems (2 papers)Journal of Computational Neuroscience (1 paper)
- Partner nations
- FranceJapanUnited States
In The Last Decade
Claude Meunier
9 papers receiving 282 citations
Peers
Comparison fields: 5 of 62
- Statistical and Nonlinear Physics 141
- Numerical Analysis 32
- Cognitive Neuroscience 94
- Cellular and Molecular Neuroscience 83
- Mathematical Physics 35
Countries citing papers authored by Claude Meunier
This map shows the geographic impact of Claude Meunier'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 Claude Meunier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claude Meunier more than expected).
Fields of papers citing papers by Claude Meunier
This network shows the impact of papers produced by Claude Meunier. 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 Claude Meunier. The network helps show where Claude Meunier may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Claude Meunier, 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 | 2005 | 2 | |
| 2 | 1999 | 51 | |
| 3 | 1999 | 7 | |
| 4 | 1998 | 22 | |
| 5 | 1992 | 14 | |
| 6 | 1992 | 11 | |
| 7 | 1991 | 16 | |
| 8 | 1991 | 5 | |
| 9 | 1988 | 181 |
About Claude Meunier
Claude Meunier is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Networks and Communications and Atomic and Molecular Physics, and Optics, having authored 9 papers that have together received 309 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), stochastic dynamics and bifurcation (3 papers), Neural Networks and Applications (2 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Neural Networks and Reservoir Computing (2 papers), Neuroscience and Neural Engineering (2 papers), Force Microscopy Techniques and Applications (1 paper) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (141 citations), Numerical Analysis (32 citations), Cognitive Neuroscience (94 citations), Cellular and Molecular Neuroscience (83 citations) and Mathematical Physics (35 citations). Claude Meunier has collaborated with scholars based in France, Japan and United States. Frequent co-authors include Pierre Lochak, Idan Segev, Michael London, Шун-ичи Амари, H. Yanai, Boris Lamotte d’Incamps and Daniel Zytnicki. Their work appears in journals such as Biological Cybernetics, Network Computation in Neural Systems, Journal of Computational Neuroscience, Journal of Neuroscience and Journal of Physiology-Paris.
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.