V. A. Malyshev
- Mathematical Physics top 2%
- Statistics and Probability top 1%
- Management Information Systems top 2%
- Condensed Matter Physics top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Guy FayolleR. A. MinlosMikhail MenshikovRoudolf IasnogorodskiA. M. VershikDmitri BotvichAnatoly YambartsevAlexander A. Zamyatin
- Topics
- Stochastic processes and statistical mechanics (30 papers)Theoretical and Computational Physics (12 papers)Markov Chains and Monte Carlo Methods (12 papers)
- Journals
- Communications in Mathematical PhysicsPhysica A Statistical Mechanics and its ApplicationsJournal of Statistical Physics
- Partner nations
- RussiaFranceTajikistan
In The Last Decade
V. A. Malyshev
67 papers receiving 805 citations
Peers
Comparison fields: 5 of 63
- Mathematical Physics 443
- Statistics and Probability 268
- Management Information Systems 249
- Condensed Matter Physics 189
- Statistical and Nonlinear Physics 164
Countries citing papers authored by V. A. Malyshev
This map shows the geographic impact of V. A. Malyshev'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 V. A. Malyshev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. A. Malyshev more than expected).
Fields of papers citing papers by V. A. Malyshev
This network shows the impact of papers produced by V. A. Malyshev. 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 V. A. Malyshev. The network helps show where V. A. Malyshev may publish in the future.
Co-authorship network of co-authors of V. A. Malyshev
This figure shows the co-authorship network connecting the top 25 collaborators of V. A. Malyshev. A scholar is included among the top collaborators of V. A. Malyshev 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 V. A. Malyshev. V. A. Malyshev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | Time Synchronization Model | 1 |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | Intrinsic convergence rate of countable Markov chains | 5 |
| 13 | 3 | |
| 14 | 26 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 8 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 22 |
About V. A. Malyshev
V. A. Malyshev is a scholar working on Mathematical Physics, Statistics and Probability and Statistical and Nonlinear Physics, having authored 83 papers that have together received 935 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (30 papers), Theoretical and Computational Physics (12 papers) and Markov Chains and Monte Carlo Methods (12 papers). The work is most often cited by research in Mathematical Physics (443 citations), Statistics and Probability (268 citations) and Management Information Systems (249 citations). V. A. Malyshev has collaborated with scholars based in Russia, France and Tajikistan. Frequent co-authors include Guy Fayolle, R. A. Minlos, Mikhail Menshikov, Roudolf Iasnogorodski, A. M. Vershik, Dmitri Botvich, Anatoly Yambartsev, Alexander A. Zamyatin, C. Boldrighini and Alexander Sidorenko. Their work appears in journals such as Communications in Mathematical Physics, Physica A Statistical Mechanics and its Applications and Journal of Statistical Physics.
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.