Dmitry Dolgopyat
- Mathematical Physics top 2%
- Statistical and Nonlinear Physics top 2%
- Geometry and Topology top 5%
- Applied Mathematics top 10%
- Computer Networks and Communications
- Co-authors
- N. ChernovOmri SarigDomokos SzászBassam FayadJiagang YangMarcelo VianaRaphaël KrikorianYakov Pesin
- Topics
- Mathematical Dynamics and Fractals (25 papers)Quantum chaos and dynamical systems (17 papers)Stochastic processes and statistical mechanics (15 papers)
- Journals
- Communications in Mathematical PhysicsAnnals of MathematicsCommunications on Pure and Applied Mathematics
- Partner nations
- United StatesFranceIsrael
In The Last Decade
Dmitry Dolgopyat
33 papers receiving 360 citations
Peers
Comparison fields: 5 of 42
- Mathematical Physics 354
- Statistical and Nonlinear Physics 260
- Geometry and Topology 71
- Applied Mathematics 38
- Computer Networks and Communications 30
Countries citing papers authored by Dmitry Dolgopyat
This map shows the geographic impact of Dmitry Dolgopyat'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 Dmitry Dolgopyat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Dolgopyat more than expected).
Fields of papers citing papers by Dmitry Dolgopyat
This network shows the impact of papers produced by Dmitry Dolgopyat. 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 Dmitry Dolgopyat. The network helps show where Dmitry Dolgopyat may publish in the future.
Co-authorship network of co-authors of Dmitry Dolgopyat
This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Dolgopyat. A scholar is included among the top collaborators of Dmitry Dolgopyat 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 Dmitry Dolgopyat. Dmitry Dolgopyat 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 | 2 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | 4 | |
| 8 | 21 | |
| 9 | 12 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 18 | |
| 14 | 18 | |
| 15 | 7 | |
| 16 | 7 | |
| 17 | Geometric and Probabilistic Structures in Dynamics | 9 |
| 18 | 20 | |
| 19 | 6 | |
| 20 | 112 |
About Dmitry Dolgopyat
Dmitry Dolgopyat is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Statistics and Probability, having authored 34 papers that have together received 427 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (25 papers), Quantum chaos and dynamical systems (17 papers) and Stochastic processes and statistical mechanics (15 papers). The work is most often cited by research in Mathematical Physics (354 citations), Statistical and Nonlinear Physics (260 citations) and Geometry and Topology (71 citations). Dmitry Dolgopyat has collaborated with scholars based in United States, France and Israel. Frequent co-authors include N. Chernov, Omri Sarig, Domokos Szász, Bassam Fayad, Jiagang Yang, Marcelo Viana, Raphaël Krikorian, Yakov Pesin, Leonid Koralov and Ilya Goldsheid. 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.