Dmitry Korshunov

1.8k total citations
48 papers, 970 citations indexed

About

Dmitry Korshunov is a scholar working on Mathematical Physics, Management Science and Operations Research and Finance. According to data from OpenAlex, Dmitry Korshunov has authored 48 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Mathematical Physics, 27 papers in Management Science and Operations Research and 16 papers in Finance. Recurrent topics in Dmitry Korshunov's work include Stochastic processes and statistical mechanics (28 papers), Probability and Risk Models (25 papers) and Stochastic processes and financial applications (8 papers). Dmitry Korshunov is often cited by papers focused on Stochastic processes and statistical mechanics (28 papers), Probability and Risk Models (25 papers) and Stochastic processes and financial applications (8 papers). Dmitry Korshunov collaborates with scholars based in Russia, United Kingdom and Switzerland. Dmitry Korshunov's co-authors include Sergey Foss, Stan Zachary, Søren Asmussen, Denis Denisov, Enkelejd Hashorva, V. I. Piterbarg, А. А. Боровков, Александр Алексеевич Боровков, Vitali Wachtel and Evgeny Vinokurov and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Annals of Probability and Mathematics of Operations Research.

In The Last Decade

Dmitry Korshunov

46 papers receiving 891 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dmitry Korshunov Russia 13 565 356 295 260 183 48 970
J. L. Teugels Belgium 17 483 0.9× 439 1.2× 202 0.7× 318 1.2× 145 0.8× 58 905
V. I. Piterbarg Russia 17 282 0.5× 582 1.6× 231 0.8× 156 0.6× 69 0.4× 82 893
Zbigniew Palmowski Poland 17 709 1.3× 510 1.4× 224 0.8× 146 0.6× 370 2.0× 79 961
Konstantin Borovkov Australia 15 243 0.4× 242 0.7× 338 1.1× 245 0.9× 66 0.4× 83 728
Goran Peškir Denmark 23 344 0.6× 1.0k 2.9× 264 0.9× 184 0.7× 150 0.8× 93 1.4k
Kumar Joag‐Dev United States 9 1.0k 1.8× 405 1.1× 386 1.3× 795 3.1× 140 0.8× 15 1.6k
S. V. Nagaev Russia 12 533 0.9× 348 1.0× 654 2.2× 460 1.8× 37 0.2× 85 1.3k
Rajeeva L. Karandikar India 18 188 0.3× 393 1.1× 199 0.7× 127 0.5× 57 0.3× 64 905
A. N. Borodin Russia 9 330 0.6× 1.2k 3.4× 733 2.5× 312 1.2× 136 0.7× 42 2.0k
Jordan Stoyanov United Kingdom 16 173 0.3× 558 1.6× 133 0.5× 340 1.3× 58 0.3× 63 1.3k

Countries citing papers authored by Dmitry Korshunov

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Palmowski, Zbigniew, Sergey Foss, Dmitry Korshunov, & Tomasz Rolski. (2018). Two-dimensional ruin probability for subexponential claim size. 37(2). 319–335. 8 indexed citations
2.
Korshunov, Dmitry, V. I. Piterbarg, & Enkelejd Hashorva. (2015). On the asymptotic Laplace method and its application to random chaos. Mathematical Notes. 97(5-6). 878–891. 10 indexed citations
3.
Hashorva, Enkelejd, Dmitry Korshunov, & V. I. Piterbarg. (2013). Extremal Behavior of Gaussian Chaos. arXiv (Cornell University). 3 indexed citations
4.
Denisov, Denis, Dmitry Korshunov, & Vitali Wachtel. (2013). Potential analysis for positive recurrent Markov chains with asymptotically zero drift: Power-type asymptotics. Stochastic Processes and their Applications. 123(8). 3027–3051. 3 indexed citations
5.
Foss, Sergey, Dmitry Korshunov, & Stan Zachary. (2013). An Introduction to Heavy-Tailed and Subexponential Distributions. CERN Document Server (European Organization for Nuclear Research). 280 indexed citations
6.
Wachtel, Vitali, Denis Denisov, & Dmitry Korshunov. (2013). Tail asymptotics for the supercritical Galton-Watson process in the heavy-tailed case. Proceedings of the Steklov Institute of Mathematics. 282(1). 273–297. 8 indexed citations
7.
Korshunov, Dmitry, V. I. Piterbarg, & Enkelejd Hashorva. (2013). On extremal behavior of Gaussian chaos. Doklady Mathematics. 88(2). 566–568. 12 indexed citations
8.
Foss, Sergey & Dmitry Korshunov. (2011). How Big Queues Occur in Multi-Server System with Heavy Tails. arXiv (Cornell University).
9.
Foss, Sergey, Dmitry Korshunov, & Stan Zachary. (2011). An Introduction to Heavy-Tailed and Subexponential Distributions. CERN Document Server (European Organization for Nuclear Research). 189 indexed citations
10.
Korshunov, Dmitry. (2011). Moments for stationary Markov chains with asymptotically zero drift. Siberian Mathematical Journal. 52(4). 655–664. 2 indexed citations
11.
Foss, Sergey, Dmitry Korshunov, & Stan Zachary. (2009). Convolutions of Long-Tailed and Subexponential Distributions. Journal of Applied Probability. 46(3). 756–767. 26 indexed citations
12.
Denisov, Denis, Dmitry Korshunov, & Sergey Foss. (2008). Lower Limits for Distribution Tails of Randomly Stopped Sums. Theory of Probability and Its Applications. 52(4). 690–699. 4 indexed citations
13.
Foss, Sergey & Dmitry Korshunov. (2007). Lower limits and equivalences for convolution tails. The Annals of Probability. 35(1). 35 indexed citations
14.
Asmussen, Søren, Sergey Foss, & Dmitry Korshunov. (2003). Asymptotics for Sums of Random Variables with Local Subexponential Behaviour. Journal of Theoretical Probability. 16(2). 489–518. 86 indexed citations
15.
Korshunov, Dmitry. (2002). Large-Deviation Probabilities for Maxima of Sums of Independent Random Variables with Negative Mean and Subexponential Distribution. Theory of Probability and Its Applications. 46(2). 355–366. 37 indexed citations
16.
Боровков, Александр Алексеевич, et al.. (2001). Вероятности больших уклонений одномерных цепей маркова. Часть 3. Достационарные распределения в экспоненциальном случае. Теория вероятностей и ее применения. 46(4). 640–657. 2 indexed citations
17.
18.
Foss, Sergey & Dmitry Korshunov. (2000). Sampling at a Random Time with a Heavy-Tailed Distribution. 6(4). 643–658. 23 indexed citations
19.
Korshunov, Dmitry. (1997). On distribution tail of the maximum of a random walk. Stochastic Processes and their Applications. 72(1). 97–103. 52 indexed citations
20.
Боровков, Александр Алексеевич, et al.. (1996). Вероятности больших уклонений одномерных цепей Маркова. Часть 1. Стационарные распределения. Теория вероятностей и ее применения. 41(1). 3–30. 5 indexed citations

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.

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