Jean-Paul Gauthier
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Applied Mathematics top 5%
- Artificial Intelligence top 10%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Ivan KupkaÉric BusvelleUgo BoscainNicolas BoizotAndrei AgrachevFrancesco RossiV. M. ZakalyukinG. Charlot
- Topics
- Geometric Analysis and Curvature Flows (9 papers)Advanced Control Systems Optimization (8 papers)Adaptive Control of Nonlinear Systems (6 papers)
In The Last Decade
Jean-Paul Gauthier
47 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Control and Systems Engineering 637
- Computer Vision and Pattern Recognition 158
- Applied Mathematics 155
- Artificial Intelligence 146
- Atomic and Molecular Physics, and Optics 132
Countries citing papers authored by Jean-Paul Gauthier
This map shows the geographic impact of Jean-Paul Gauthier'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 Jean-Paul Gauthier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Paul Gauthier more than expected).
Fields of papers citing papers by Jean-Paul Gauthier
This network shows the impact of papers produced by Jean-Paul Gauthier. 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 Jean-Paul Gauthier. The network helps show where Jean-Paul Gauthier may publish in the future.
Co-authorship network of co-authors of Jean-Paul Gauthier
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Paul Gauthier. A scholar is included among the top collaborators of Jean-Paul Gauthier 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 Jean-Paul Gauthier. Jean-Paul Gauthier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | Highly corrupted image inpainting through hypoelliptic diffusion | 13 |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 25 | |
| 12 | 192 | |
| 13 | 71 | |
| 14 | 10 | |
| 15 | 6 | |
| 16 | 11 | |
| 17 | 13 | |
| 18 | 343 | |
| 19 | 4 | |
| 20 | Structure des systèmes non linéaires | 15 |
About Jean-Paul Gauthier
Jean-Paul Gauthier is a scholar working on Applied Mathematics, Geometry and Topology and Theoretical Computer Science, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (9 papers), Advanced Control Systems Optimization (8 papers) and Adaptive Control of Nonlinear Systems (6 papers). The work is most often cited by research in Control and Systems Engineering (637 citations), Applied Mathematics (155 citations) and Geometry and Topology (103 citations). Jean-Paul Gauthier has collaborated with scholars based in France, Russia and Italy. Frequent co-authors include Ivan Kupka, Éric Busvelle, Ugo Boscain, Nicolas Boizot, Andrei Agrachev, Francesco Rossi, V. M. Zakalyukin, G. Charlot, S. Guérin and Hans-Rudolf Jauslin. Their work appears in journals such as IEEE Transactions on Information Theory, Automatica and Communications in Mathematical Physics.
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.