Jacques-Alexandre Sepulchre
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Atomic and Molecular Physics, and Optics
- Molecular Biology
- Cognitive Neuroscience top 10%
- Co-authors
- Robert S. MacKayA. BabloyantzAlain DestexheAlejandra C. VenturaAxel CournacBruno CessacSylvie ReverchonWilliam Nasser
- Topics
- Nonlinear Dynamics and Pattern Formation (18 papers)Nonlinear Photonic Systems (8 papers)Quantum chaos and dynamical systems (7 papers)
In The Last Decade
Jacques-Alexandre Sepulchre
30 papers receiving 693 citations
Peers
Comparison fields: 5 of 84
- Statistical and Nonlinear Physics 442
- Computer Networks and Communications 351
- Atomic and Molecular Physics, and Optics 124
- Molecular Biology 118
- Cognitive Neuroscience 111
Countries citing papers authored by Jacques-Alexandre Sepulchre
This map shows the geographic impact of Jacques-Alexandre Sepulchre'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 Jacques-Alexandre Sepulchre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacques-Alexandre Sepulchre more than expected).
Fields of papers citing papers by Jacques-Alexandre Sepulchre
This network shows the impact of papers produced by Jacques-Alexandre Sepulchre. 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 Jacques-Alexandre Sepulchre. The network helps show where Jacques-Alexandre Sepulchre may publish in the future.
Co-authorship network of co-authors of Jacques-Alexandre Sepulchre
This figure shows the co-authorship network connecting the top 25 collaborators of Jacques-Alexandre Sepulchre. A scholar is included among the top collaborators of Jacques-Alexandre Sepulchre 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 Jacques-Alexandre Sepulchre. Jacques-Alexandre Sepulchre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 31 | |
| 9 | 38 | |
| 10 | 25 | |
| 11 | 15 | |
| 12 | 26 | |
| 13 | 15 | |
| 14 | 15 | |
| 15 | 38 | |
| 16 | 78 | |
| 17 | 44 | |
| 18 | 13 | |
| 19 | 8 | |
| 20 | 5 |
About Jacques-Alexandre Sepulchre
Jacques-Alexandre Sepulchre is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Modeling and Simulation, having authored 31 papers that have together received 729 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (18 papers), Nonlinear Photonic Systems (8 papers) and Quantum chaos and dynamical systems (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (442 citations), Computer Networks and Communications (351 citations) and Cognitive Neuroscience (111 citations). Jacques-Alexandre Sepulchre has collaborated with scholars based in France, Belgium and Argentina. Frequent co-authors include Robert S. MacKay, A. Babloyantz, Alain Destexhe, Alejandra C. Ventura, Axel Cournac, Bruno Cessac, Sylvie Reverchon, William Nasser, Sofía D. Merajver and Michelle L. Wynn. Their work appears in journals such as Physical Review Letters, Journal of Biological Chemistry 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.