Dmitry Korshunov
- Management Science and Operations Research top 1%
- Finance top 2%
- Mathematical Physics top 5%
- Statistics and Probability top 2%
- Demography top 2%
- Co-authors
- Sergey FossStan ZacharySøren AsmussenDenis DenisovV. I. PiterbargEnkelejd HashorvaА. А. БоровковАлександр Алексеевич Боровков
- Topics
- Stochastic processes and statistical mechanics (28 papers)Probability and Risk Models (25 papers)Stochastic processes and financial applications (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Annals of ProbabilityMathematics of Operations Research
- Partner nations
- RussiaUnited KingdomSwitzerland
In The Last Decade
Dmitry Korshunov
46 papers receiving 891 citations
Peers
Comparison fields: 5 of 82
- Management Science and Operations Research 565
- Finance 356
- Mathematical Physics 295
- Statistics and Probability 260
- Demography 183
Countries citing papers authored by Dmitry Korshunov
This map shows the geographic impact of Dmitry Korshunov'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 Dmitry Korshunov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Korshunov more than expected).
Fields of papers citing papers by Dmitry Korshunov
This network shows the impact of papers produced by Dmitry Korshunov. 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 Dmitry Korshunov. The network helps show where Dmitry Korshunov may publish in the future.
Co-authorship network of co-authors of Dmitry Korshunov
This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Korshunov. A scholar is included among the top collaborators of Dmitry Korshunov 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 Dmitry Korshunov. Dmitry Korshunov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | Extremal Behavior of Gaussian Chaos | 3 |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 280 | |
| 7 | How Big Queues Occur in Multi-Server System with Heavy Tails | 0 |
| 8 | 2 | |
| 9 | 189 | |
| 10 | 26 | |
| 11 | 4 | |
| 12 | 35 | |
| 13 | 86 | |
| 14 | 37 | |
| 15 | 2 | |
| 16 | 6 | |
| 17 | Sampling at a Random Time with a Heavy-Tailed Distribution | 23 |
| 18 | 52 | |
| 19 | 5 | |
| 20 | 0 |
About Dmitry Korshunov
Dmitry Korshunov is a scholar working on Mathematical Physics, Management Science and Operations Research and Statistics and Probability, having authored 48 papers that have together received 970 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (28 papers), Probability and Risk Models (25 papers) and Stochastic processes and financial applications (8 papers). The work is most often cited by research in Management Science and Operations Research (565 citations), Finance (356 citations) and Mathematical Physics (295 citations). Dmitry Korshunov has collaborated with scholars based in Russia, United Kingdom and Switzerland. Frequent co-authors include Sergey Foss, Stan Zachary, Søren Asmussen, Denis Denisov, V. I. Piterbarg, Enkelejd Hashorva, А. А. Боровков, Александр Алексеевич Боровков, Vitali Wachtel and Evgeny Vinokurov. Their work appears in journals such as SHILAP Revista de lepidopterología, The Annals of Probability and Mathematics of Operations Research.
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.