Jean‐Dominique Deuschel
- Mathematical Physics top 2%
- Statistics and Probability top 2%
- Condensed Matter Physics top 5%
- Applied Mathematics top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Erwin BolthausenOfer ZeitouniGiambattista GiacominThierry DelmotteMartin SlowikDmitry IoffePeter K. FrizAntoine Jacquier
- Topics
- Stochastic processes and statistical mechanics (26 papers)Markov Chains and Monte Carlo Methods (16 papers)Theoretical and Computational Physics (13 papers)
- Journals
- Communications in Mathematical PhysicsCommunications on Pure and Applied MathematicsThe Annals of Probability
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Jean‐Dominique Deuschel
33 papers receiving 468 citations
Peers
Comparison fields: 5 of 41
- Mathematical Physics 336
- Statistics and Probability 209
- Condensed Matter Physics 174
- Applied Mathematics 94
- Computational Theory and Mathematics 90
Countries citing papers authored by Jean‐Dominique Deuschel
This map shows the geographic impact of Jean‐Dominique Deuschel'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‐Dominique Deuschel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Dominique Deuschel more than expected).
Fields of papers citing papers by Jean‐Dominique Deuschel
This network shows the impact of papers produced by Jean‐Dominique Deuschel. 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‐Dominique Deuschel. The network helps show where Jean‐Dominique Deuschel may publish in the future.
Co-authorship network of co-authors of Jean‐Dominique Deuschel
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Dominique Deuschel. A scholar is included among the top collaborators of Jean‐Dominique Deuschel 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‐Dominique Deuschel. Jean‐Dominique Deuschel 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 | 1 | |
| 3 | 1 | |
| 4 | 15 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 20 | |
| 10 | 22 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 40 | |
| 14 | 21 | |
| 15 | 20 | |
| 16 | 43 | |
| 17 | 12 | |
| 18 | 18 | |
| 19 | 3 | |
| 20 | Precise asymptotics in large deviations | 5 |
About Jean‐Dominique Deuschel
Jean‐Dominique Deuschel is a scholar working on Mathematical Physics, Statistics and Probability and Condensed Matter Physics, having authored 33 papers that have together received 490 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (26 papers), Markov Chains and Monte Carlo Methods (16 papers) and Theoretical and Computational Physics (13 papers). The work is most often cited by research in Mathematical Physics (336 citations), Statistics and Probability (209 citations) and Condensed Matter Physics (174 citations). Jean‐Dominique Deuschel has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Erwin Bolthausen, Ofer Zeitouni, Giambattista Giacomin, Thierry Delmotte, Martin Slowik, Dmitry Ioffe, Peter K. Friz, Antoine Jacquier, Noam Berger and Daniel W. Stroock. Their work appears in journals such as Communications in Mathematical Physics, Communications on Pure and Applied Mathematics and The Annals of Probability.
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.