Sergey G. Bobkov
- Applied Mathematics top 0.5%
- Statistics and Probability top 0.5%
- Mathematical Physics top 2%
- Geometry and Topology top 2%
- Computational Theory and Mathematics top 2%
- Co-authors
- Michel LedouxFriedrich GötzeMokshay MadimanPrasad TetaliIvan GentilChristian HoudréG. P. ChistyakovNathaël Gozlan
- Topics
- Point processes and geometric inequalities (29 papers)Geometric Analysis and Curvature Flows (14 papers)Statistical Mechanics and Entropy (13 papers)
- Journals
- IEEE Transactions on Information TheoryThe Annals of StatisticsJournal of Functional Analysis
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Sergey G. Bobkov
76 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 75
- Applied Mathematics 1.2k
- Statistics and Probability 668
- Mathematical Physics 479
- Geometry and Topology 302
- Computational Theory and Mathematics 200
Countries citing papers authored by Sergey G. Bobkov
This map shows the geographic impact of Sergey G. Bobkov'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 Sergey G. Bobkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey G. Bobkov more than expected).
Fields of papers citing papers by Sergey G. Bobkov
This network shows the impact of papers produced by Sergey G. Bobkov. 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 Sergey G. Bobkov. The network helps show where Sergey G. Bobkov may publish in the future.
Co-authorship network of co-authors of Sergey G. Bobkov
This figure shows the co-authorship network connecting the top 25 collaborators of Sergey G. Bobkov. A scholar is included among the top collaborators of Sergey G. Bobkov 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 Sergey G. Bobkov. Sergey G. Bobkov 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 | 2 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 33 | |
| 9 | 17 | |
| 10 | 39 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 19 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 187 | |
| 17 | 103 | |
| 18 | 310 | |
| 19 | 63 | |
| 20 | 6 |
About Sergey G. Bobkov
Sergey G. Bobkov is a scholar working on Applied Mathematics, Statistics and Probability and Numerical Analysis, having authored 81 papers that have together received 2.0k indexed citations. Recurring topics across this work include Point processes and geometric inequalities (29 papers), Geometric Analysis and Curvature Flows (14 papers) and Statistical Mechanics and Entropy (13 papers). The work is most often cited by research in Applied Mathematics (1.2k citations), Statistics and Probability (668 citations) and Mathematical Physics (479 citations). Sergey G. Bobkov has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Michel Ledoux, Friedrich Götze, Mokshay Madiman, Prasad Tetali, Ivan Gentil, Christian Houdré, G. P. Chistyakov, Nathaël Gozlan, Paul-Marie Samson and Cyril Roberto. Their work appears in journals such as IEEE Transactions on Information Theory, The Annals of Statistics and Journal of Functional Analysis.
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.