Yves Le Jan
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics 18
- Mathematical Dynamics and Fractals 12
- Finance top 5%
- Stochastic processes and financial applications 13
- Applied Mathematics top 5%
- Geometric Analysis and Curvature Flows 6
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods 5
- Geometry and Topology top 10%
- Geometry and complex manifolds 3
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- Theoretical and Computational Physics 5
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- Advanced Mathematical Modeling in Engineering 4
- Co-authors
- Olivier RaimondK. D. ElworthyXue-Mei LiJean-François Le GallNathanaël EnriquezZhongmin QianJean BertoinSimon Lemaire
- Journals
- Probability Theory and Related Fields (6 papers)The Annals of Probability (5 papers)Comptes Rendus Mathématique (3 papers)
- 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
- Geometry and Topology 66
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
The 12 scholars most cited alongside Yves Le Jan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2020 | 2 | |
| 3 | 2019 | 1 | |
| 4 | 2017 | 3 | |
| 5 | 2015 | 8 | |
| 6 | 2012 | 8 | |
| 7 | 2012 | 4 | |
| 8 | 2009 | 0 | |
| 9 | 2008 | 41 | |
| 10 | The Geometry of Filtering (Preliminary Version) | 2008 | 1 |
| 11 | 2006 | 45 | |
| 12 | 2004 | 13 | |
| 13 | 2003 | 1 | |
| 14 | 2003 | 1 | |
| 15 | 1998 | 4 | |
| 16 | 1998 | 11 | |
| 17 | 1988 | 10 | |
| 18 | Sur les trajectoires intrinsèques des processus de Markov et le théorème de Shih | 1984 | 1 |
| 19 | 1983 | 13 | |
| 20 | 1981 | 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), Mathematical Dynamics and Fractals (12 papers), Geometric Analysis and Curvature Flows (6 papers), Markov Chains and Monte Carlo Methods (5 papers), Theoretical and Computational Physics (5 papers), Advanced Mathematical Modeling in Engineering (4 papers) and Geometry and complex manifolds (3 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 Probability Theory and Related Fields, The Annals of Probability, Comptes Rendus Mathématique, Journal of the Mathematical Society of Japan and Stochastic Processes and their Applications.
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.