Serguei Popov
- Mathematical Physics top 2%
- Statistics and Probability top 1%
- Condensed Matter Physics top 5%
- Statistical and Nonlinear Physics top 5%
- Information Systems top 10%
- Co-authors
- Fábio P. MachadoMikhail MenshikovFrancis CometsAugusto TeixeiraBalázs RáthWilliam J. BuchananAndrew R. WadeJǐŕı Černý
- Topics
- Stochastic processes and statistical mechanics (53 papers)Markov Chains and Monte Carlo Methods (33 papers)Theoretical and Computational Physics (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputers & GeosciencesComputers & Industrial Engineering
- Partner nations
- BrazilFranceUnited Kingdom
In The Last Decade
Serguei Popov
58 papers receiving 591 citations
Peers
Comparison fields: 5 of 60
- Mathematical Physics 489
- Statistics and Probability 283
- Condensed Matter Physics 224
- Statistical and Nonlinear Physics 124
- Information Systems 85
Countries citing papers authored by Serguei Popov
This map shows the geographic impact of Serguei Popov'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 Serguei Popov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serguei Popov more than expected).
Fields of papers citing papers by Serguei Popov
This network shows the impact of papers produced by Serguei Popov. 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 Serguei Popov. The network helps show where Serguei Popov may publish in the future.
Co-authorship network of co-authors of Serguei Popov
This figure shows the co-authorship network connecting the top 25 collaborators of Serguei Popov. A scholar is included among the top collaborators of Serguei Popov 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 Serguei Popov. Serguei Popov 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 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | On fast probabilistic consensus in the Byzantine setting. | 1 |
| 6 | Recurrence and Transience of Frogs with Drift on Z^d | 3 |
| 7 | 4 | |
| 8 | 10 | |
| 9 | 9 | |
| 10 | 41 | |
| 11 | 3 | |
| 12 | 0 | |
| 13 | 13 | |
| 14 | 19 | |
| 15 | 6 | |
| 16 | The Level of Rapid Response Reaction of the Planetary Defense System | 0 |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 12 | |
| 20 | 11 |
About Serguei Popov
Serguei Popov is a scholar working on Mathematical Physics, Statistics and Probability and Condensed Matter Physics, having authored 68 papers that have together received 650 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (53 papers), Markov Chains and Monte Carlo Methods (33 papers) and Theoretical and Computational Physics (21 papers). The work is most often cited by research in Mathematical Physics (489 citations), Statistics and Probability (283 citations) and Condensed Matter Physics (224 citations). Serguei Popov has collaborated with scholars based in Brazil, France and United Kingdom. Frequent co-authors include Fábio P. Machado, Mikhail Menshikov, Francis Comets, Augusto Teixeira, Balázs Ráth, William J. Buchanan, Andrew R. Wade, Jǐŕı Černý, Nina Gantert and Frank den Hollander. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers & Geosciences and Computers & Industrial Engineering.
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.