Yves Le Jan
- Mathematical Physics top 2%
- Finance top 5%
- Applied Mathematics top 5%
- Statistics and Probability top 5%
- Computational Mechanics top 10%
- Co-authors
- Olivier RaimondK. D. ElworthyXue-Mei LiJean-François Le GallNathanaël EnriquezZhongmin QianJean BertoinSimon Lemaire
- Topics
- Stochastic processes and statistical mechanics (18 papers)Stochastic processes and financial applications (13 papers)Mathematical Dynamics and Fractals (12 papers)
- Journals
- Communications in Mathematical PhysicsCommunications on Pure and Applied MathematicsLecture notes in mathematics
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Yves Le Jan
39 papers receiving 617 citations
Peers
Comparison fields: 5 of 51
- Mathematical Physics 404
- Finance 205
- Applied Mathematics 188
- Statistics and Probability 132
- Computational Mechanics 89
Countries citing papers authored by Yves Le Jan
This map shows the geographic impact of Yves Le Jan'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 Yves Le Jan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yves Le Jan more than expected).
Fields of papers citing papers by Yves Le Jan
This network shows the impact of papers produced by Yves Le Jan. 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 Yves Le Jan. The network helps show where Yves Le Jan may publish in the future.
Co-authorship network of co-authors of Yves Le Jan
This figure shows the co-authorship network connecting the top 25 collaborators of Yves Le Jan. A scholar is included among the top collaborators of Yves Le Jan 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 Yves Le Jan. Yves Le Jan 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 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 41 | |
| 10 | The Geometry of Filtering (Preliminary Version) | 1 |
| 11 | 45 | |
| 12 | 13 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 11 | |
| 17 | 10 | |
| 18 | Sur les trajectoires intrinsèques des processus de Markov et le théorème de Shih | 1 |
| 19 | 13 | |
| 20 | 2 |
About Yves Le Jan
Yves Le Jan is a scholar working on Mathematical Physics, Finance and Applied Mathematics, having authored 43 papers that have together received 649 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (18 papers), Stochastic processes and financial applications (13 papers) and Mathematical Dynamics and Fractals (12 papers). The work is most often cited by research in Mathematical Physics (404 citations), Finance (205 citations) and Applied Mathematics (188 citations). Yves Le Jan has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Olivier Raimond, K. D. Elworthy, Xue-Mei Li, Jean-François Le Gall, Nathanaël Enriquez, Zhongmin Qian, Jean Bertoin, Simon Lemaire, R. V. Chacon and Samuel J. Taylor. Their work appears in journals such as Communications in Mathematical Physics, Communications on Pure and Applied Mathematics and Lecture notes in 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.