Jean-Lin Journé
- Applied Mathematics top 0.5%
- Mathematical Physics top 0.5%
- Computational Theory and Mathematics top 5%
- Statistical and Nonlinear Physics top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Guy DavidStephen SemmesMichael ChristChristopher D. SoggeAvy SofferIngrid DaubechiesStéphane JaffardPeter W. Jones
- Topics
- Advanced Harmonic Analysis Research (8 papers)Advanced Mathematical Physics Problems (5 papers)Holomorphic and Operator Theory (3 papers)
- Journals
- Communications in Mathematical PhysicsAnnals of MathematicsCommunications on Pure and Applied Mathematics
- Partner nations
- United StatesFrance
In The Last Decade
Jean-Lin Journé
19 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 48
- Applied Mathematics 1.2k
- Mathematical Physics 922
- Computational Theory and Mathematics 114
- Statistical and Nonlinear Physics 110
- Computer Vision and Pattern Recognition 92
Countries citing papers authored by Jean-Lin Journé
This map shows the geographic impact of Jean-Lin Journé'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-Lin Journé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean-Lin Journé more than expected).
Fields of papers citing papers by Jean-Lin Journé
This network shows the impact of papers produced by Jean-Lin Journé. 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-Lin Journé. The network helps show where Jean-Lin Journé may publish in the future.
Co-authorship network of co-authors of Jean-Lin Journé
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Lin Journé. A scholar is included among the top collaborators of Jean-Lin Journé 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-Lin Journé. Jean-Lin Journé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 20 | |
| 4 | 17 | |
| 5 | 6 | |
| 6 | 135 | |
| 7 | 161 | |
| 8 | 10 | |
| 9 | 48 | |
| 10 | 63 | |
| 11 | 123 | |
| 12 | 26 | |
| 13 | 27 | |
| 14 | 44 | |
| 15 | 22 | |
| 16 | 144 | |
| 17 | 192 | |
| 18 | 272 | |
| 19 | 204 |
About Jean-Lin Journé
Jean-Lin Journé is a scholar working on Mathematical Physics, Applied Mathematics and Statistics and Probability, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Harmonic Analysis Research (8 papers), Advanced Mathematical Physics Problems (5 papers) and Holomorphic and Operator Theory (3 papers). The work is most often cited by research in Applied Mathematics (1.2k citations), Mathematical Physics (922 citations) and Geometry and Topology (91 citations). Jean-Lin Journé has collaborated with scholars based in United States and France. Frequent co-authors include Guy David, Stephen Semmes, Michael Christ, Christopher D. Sogge, Avy Soffer, Ingrid Daubechies, Stéphane Jaffard and Peter W. Jones. Their work appears in journals such as Communications in Mathematical Physics, Annals of Mathematics and Communications on Pure and Applied Mathematics.
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.