Pascal Chossat
Impact in
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- Quantum chaos and dynamical systems
- Chaos control and synchronization
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- Nonlinear Dynamics and Pattern Formation
Papers in
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- Quantum chaos and dynamical systems 27
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- Nonlinear Dynamics and Pattern Formation 23
- Co-authors
- Gérard Iooss (6 shared papers)Martin Golubitsky (4 shared papers)Reiner Lauterbach (6 shared papers)Ian Melbourne (4 shared papers)Dieter Armbruster (8 shared papers)Olivier Faugeras (4 shared papers)Grégory Faye (5 shared papers)Peter Ashwin (2 shared papers)
- Journals
- Journal of Nonlinear Science (8 papers)Archive for Rational Mechanics and Analysis (5 papers)Physica D Nonlinear Phenomena (5 papers)Nonlinearity (3 papers)PLoS ONE (3 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Pascal Chossat
65 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 82
- Statistical and Nonlinear Physics 624
- Computer Networks and Communications 698
- Geometry and Topology 243
- Computational Mechanics 361
- Mathematical Physics 127
Countries citing papers authored by Pascal Chossat
This map shows the geographic impact of Pascal Chossat'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 Pascal Chossat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Chossat more than expected).
Fields of papers citing papers by Pascal Chossat
This network shows the impact of papers produced by Pascal Chossat. 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 Pascal Chossat. The network helps show where Pascal Chossat may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Chossat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 270 | |
| 2 | 2000 | 160 | |
| 3 | 1988 | 138 | |
| 4 | 1989 | 87 | |
| 5 | 1991 | 76 | |
| 6 | 1985 | 65 | |
| 7 | 2001 | 59 | |
| 8 | 1988 | 50 | |
| 9 | 1979 | 46 | |
| 10 | 2009 | 39 | |
| 11 | 1996 | 39 | |
| 12 | 1994 | 31 | |
| 13 | 1991 | 27 | |
| 14 | 1987 | 27 | |
| 15 | 1997 | 27 | |
| 16 | 1998 | 25 | |
| 17 | 1986 | 25 | |
| 18 | 1993 | 25 | |
| 19 | 1999 | 20 | |
| 20 | 1995 | 20 |
About Pascal Chossat
Pascal Chossat is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Geometry and Topology, Molecular Biology and Cognitive Neuroscience, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (27 papers), Nonlinear Dynamics and Pattern Formation (23 papers), Advanced Differential Equations and Dynamical Systems (18 papers), Geomagnetism and Paleomagnetism Studies (15 papers), Neural dynamics and brain function (11 papers), Solar and Space Plasma Dynamics (6 papers), Visual perception and processing mechanisms (6 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (624 citations), Computer Networks and Communications (698 citations), Geometry and Topology (243 citations), Computational Mechanics (361 citations) and Mathematical Physics (127 citations). Pascal Chossat has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Gérard Iooss, Martin Golubitsky, Reiner Lauterbach, Ian Melbourne, Dieter Armbruster, Olivier Faugeras, Grégory Faye, Peter Ashwin, B. Nicolaenko and Nejib Smaoui. Their work appears in journals such as Journal of Nonlinear Science, Archive for Rational Mechanics and Analysis, Physica D Nonlinear Phenomena, Nonlinearity and PLoS ONE.
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.