Grégory Faye
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Cognitive Neuroscience top 10%
- Public Health, Environmental and Occupational Health
- Mathematical Physics
- Co-authors
- Olivier FaugerasArnd ScheelPascal ChossatJames RankinDavid J. B. LloydJian FangJavier BaladronDaniele Avitabile
- Topics
- stochastic dynamics and bifurcation (14 papers)Nonlinear Dynamics and Pattern Formation (13 papers)Neural dynamics and brain function (11 papers)
- Journals
- Physica D Nonlinear PhenomenaTransactions of the American Mathematical SocietyArchive for Rational Mechanics and Analysis
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Grégory Faye
32 papers receiving 286 citations
Peers
Comparison fields: 5 of 48
- Statistical and Nonlinear Physics 155
- Computer Networks and Communications 132
- Cognitive Neuroscience 116
- Public Health, Environmental and Occupational Health 44
- Mathematical Physics 38
Countries citing papers authored by Grégory Faye
This map shows the geographic impact of Grégory Faye'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 Grégory Faye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grégory Faye more than expected).
Fields of papers citing papers by Grégory Faye
This network shows the impact of papers produced by Grégory Faye. 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 Grégory Faye. The network helps show where Grégory Faye may publish in the future.
Co-authorship network of co-authors of Grégory Faye
This figure shows the co-authorship network connecting the top 25 collaborators of Grégory Faye. A scholar is included among the top collaborators of Grégory Faye 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 Grégory Faye. Grégory Faye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 19 | |
| 14 | 22 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 14 | |
| 18 | 12 | |
| 19 | 2 | |
| 20 | 14 |
About Grégory Faye
Grégory Faye is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis and Mathematical Physics, having authored 34 papers that have together received 301 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (14 papers), Nonlinear Dynamics and Pattern Formation (13 papers) and Neural dynamics and brain function (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (155 citations), Modeling and Simulation (28 citations) and Cognitive Neuroscience (116 citations). Grégory Faye has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Olivier Faugeras, Arnd Scheel, Pascal Chossat, James Rankin, David J. B. Lloyd, Jian Fang, Javier Baladron, Daniele Avitabile, Jean-François Coulombel and Francis Filbet. Their work appears in journals such as Physica D Nonlinear Phenomena, Transactions of the American Mathematical Society and Archive for Rational Mechanics and Analysis.
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.