Sergey G. Bobkov
- Applied Mathematics top 0.5%
- Point processes and geometric inequalities 29
- Geometric Analysis and Curvature Flows 14
- Mathematical Inequalities and Applications 9
- Nonlinear Partial Differential Equations 8
- Statistics and Probability top 0.5%
- Markov Chains and Monte Carlo Methods 13
- Random Matrices and Applications 8
- Mathematical Physics top 2%
- Geometry and Topology top 2%
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- Statistical Mechanics and Entropy 13
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- Mathematical Approximation and Integration 12
- Co-authors
- Michel LedouxFriedrich GötzeMokshay MadimanPrasad TetaliIvan GentilChristian HoudréG. P. ChistyakovNathaël Gozlan
- Journals
- IEEE Transactions on Information Theory (4 papers)The Annals of Statistics (1 paper)Journal of Functional Analysis (4 papers)
- 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
- Discrete Mathematics and Combinatorics 108
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
The 14 scholars most cited alongside Sergey G. Bobkov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2019 | 0 | |
| 7 | 2016 | 6 | |
| 8 | 2014 | 33 | |
| 9 | 2013 | 17 | |
| 10 | 2012 | 39 | |
| 11 | 2012 | 4 | |
| 12 | 2011 | 3 | |
| 13 | 2011 | 19 | |
| 14 | 2010 | 5 | |
| 15 | 2003 | 4 | |
| 16 | 2001 | 187 | |
| 17 | 2000 | 103 | |
| 18 | 1999 | 310 | |
| 19 | 1998 | 63 | |
| 20 | 1997 | 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), Statistical Mechanics and Entropy (13 papers), Markov Chains and Monte Carlo Methods (13 papers), Mathematical Approximation and Integration (12 papers), Mathematical Inequalities and Applications (9 papers), Random Matrices and Applications (8 papers) and Nonlinear Partial Differential Equations (8 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.