Dmitry Dolgopyat
- Mathematical Physics top 1%
- Statistical and Nonlinear Physics top 2%
- Geometry and Topology top 5%
- Condensed Matter Physics top 10%
- Applied Mathematics top 5%
- Co-authors
- N. ChernovYakov PesinLeonid KoralovKeith BurnsIlya GoldsheidYa. B. PesinV. A. KaloshinCarlangelo Liverani
- Topics
- Mathematical Dynamics and Fractals (26 papers)Stochastic processes and statistical mechanics (19 papers)Quantum chaos and dynamical systems (13 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Dmitry Dolgopyat
37 papers receiving 623 citations
Peers
Comparison fields: 5 of 50
- Mathematical Physics 627
- Statistical and Nonlinear Physics 399
- Geometry and Topology 130
- Condensed Matter Physics 88
- Applied Mathematics 73
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 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | Central Limit Theorem for Excited Random Walk in the Recurrent Regime | 7 |
| 8 | 11 | |
| 9 | 18 | |
| 10 | 6 | |
| 11 | 16 | |
| 12 | 24 | |
| 13 | 25 | |
| 14 | 51 | |
| 15 | 16 | |
| 16 | 51 | |
| 17 | 193 | |
| 18 | On statistical properties of geodesic flows on negatively curved surfaces | 7 |
| 19 | 15 | |
| 20 | 3 |
About Dmitry Dolgopyat
Dmitry Dolgopyat is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Statistics and Probability, having authored 39 papers that have together received 709 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (26 papers), Stochastic processes and statistical mechanics (19 papers) and Quantum chaos and dynamical systems (13 papers). The work is most often cited by research in Mathematical Physics (627 citations), Statistical and Nonlinear Physics (399 citations) and Geometry and Topology (130 citations). Dmitry Dolgopyat has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include N. Chernov, Yakov Pesin, Leonid Koralov, Keith Burns, Ilya Goldsheid, Ya. B. Pesin, V. A. Kaloshin, Carlangelo Liverani, Mark Pollicott and Elena Kosygina. Their work appears in journals such as Physical Review Letters, Communications in Mathematical Physics and Annals of 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.