Jean‐Marc Schlenker
- Geometry and Topology top 2%
- Applied Mathematics top 2%
- Mathematical Physics top 10%
- Nuclear and High Energy Physics
- Computer Vision and Pattern Recognition
- Co-authors
- Francesco BonsanteRichard KenyonAlbert CohenPierre DuboisJean‐Charles RochetKirill KrasnovTeodor BanicaE.W. Valyocsik
- Topics
- Geometric and Algebraic Topology (26 papers)Geometric Analysis and Curvature Flows (26 papers)Geometry and complex manifolds (14 papers)
- Journals
- Journal of High Energy PhysicsCommunications in Mathematical PhysicsTransactions of the American Mathematical Society
- Partner nations
- FranceLuxembourgUnited States
In The Last Decade
Jean‐Marc Schlenker
47 papers receiving 533 citations
Peers
Comparison fields: 5 of 65
- Geometry and Topology 296
- Applied Mathematics 268
- Mathematical Physics 110
- Nuclear and High Energy Physics 57
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Jean‐Marc Schlenker
This map shows the geographic impact of Jean‐Marc Schlenker'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‐Marc Schlenker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Marc Schlenker more than expected).
Fields of papers citing papers by Jean‐Marc Schlenker
This network shows the impact of papers produced by Jean‐Marc Schlenker. 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‐Marc Schlenker. The network helps show where Jean‐Marc Schlenker may publish in the future.
Co-authorship network of co-authors of Jean‐Marc Schlenker
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Marc Schlenker. A scholar is included among the top collaborators of Jean‐Marc Schlenker 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‐Marc Schlenker. Jean‐Marc Schlenker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 57 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 45 | |
| 15 | 5 | |
| 16 | 12 | |
| 17 | 11 | |
| 18 | 4 | |
| 19 | 11 | |
| 20 | 44 |
About Jean‐Marc Schlenker
Jean‐Marc Schlenker is a scholar working on Geometry and Topology, Applied Mathematics and Computer Graphics and Computer-Aided Design, having authored 54 papers that have together received 592 indexed citations. Recurring topics across this work include Geometric and Algebraic Topology (26 papers), Geometric Analysis and Curvature Flows (26 papers) and Geometry and complex manifolds (14 papers). The work is most often cited by research in Geometry and Topology (296 citations), Applied Mathematics (268 citations) and Discrete Mathematics and Combinatorics (44 citations). Jean‐Marc Schlenker has collaborated with scholars based in France, Luxembourg and United States. Frequent co-authors include Francesco Bonsante, Richard Kenyon, Albert Cohen, Pierre Dubois, Jean‐Charles Rochet, Kirill Krasnov, Teodor Banica, E.W. Valyocsik, J. S. Higgins and Benoı̂t Collins. Their work appears in journals such as Journal of High Energy Physics, Communications in Mathematical Physics and Transactions of the American Mathematical Society.
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.