Yuri Bakhtin
- Mathematical Physics top 5%
- Statistical and Nonlinear Physics top 10%
- Finance top 10%
- Statistics and Probability top 5%
- Molecular Biology
- Co-authors
- Jonathan C. MattinglyKonstantin KhaninEric CatorChristine HeitschDonghyun SeoJoshua CorrellSean D. LawleyLeonid Bunimovich
- Topics
- Stochastic processes and statistical mechanics (21 papers)Stochastic processes and financial applications (11 papers)Stability and Controllability of Differential Equations (7 papers)
- Journals
- Proceedings of the National Academy of SciencesCommunications in Mathematical PhysicsCommunications on Pure and Applied Mathematics
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Yuri Bakhtin
41 papers receiving 279 citations
Peers
Comparison fields: 5 of 46
- Mathematical Physics 160
- Statistical and Nonlinear Physics 84
- Finance 81
- Statistics and Probability 69
- Molecular Biology 45
Countries citing papers authored by Yuri Bakhtin
This map shows the geographic impact of Yuri Bakhtin'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 Yuri Bakhtin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuri Bakhtin more than expected).
Fields of papers citing papers by Yuri Bakhtin
This network shows the impact of papers produced by Yuri Bakhtin. 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 Yuri Bakhtin. The network helps show where Yuri Bakhtin may publish in the future.
Co-authorship network of co-authors of Yuri Bakhtin
This figure shows the co-authorship network connecting the top 25 collaborators of Yuri Bakhtin. A scholar is included among the top collaborators of Yuri Bakhtin 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 Yuri Bakhtin. Yuri Bakhtin 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 | 3 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 25 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 34 | |
| 15 | 22 | |
| 16 | 5 | |
| 17 | 9 | |
| 18 | 10 | |
| 19 | 14 | |
| 20 | 3 |
About Yuri Bakhtin
Yuri Bakhtin is a scholar working on Mathematical Physics, Finance and Statistical and Nonlinear Physics, having authored 43 papers that have together received 292 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (21 papers), Stochastic processes and financial applications (11 papers) and Stability and Controllability of Differential Equations (7 papers). The work is most often cited by research in Mathematical Physics (160 citations), Statistics and Probability (69 citations) and Finance (81 citations). Yuri Bakhtin has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Jonathan C. Mattingly, Konstantin Khanin, Eric Cator, Christine Heitsch, Donghyun Seo, Joshua Correll, Sean D. Lawley, Leonid Bunimovich, Yuri I. Wolf and M. I. Katsnelson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Communications in Mathematical Physics 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.