V. Yu. Korolev
- Finance top 2%
- Statistics and Probability top 1%
- Management Science and Operations Research top 2%
- Artificial Intelligence top 5%
- Mathematical Physics top 5%
- Co-authors
- V. E. BeningБ. В. ГнеденкоAlexander ZeifmanAndrey GorsheninIrina ShevtsovaYacov SatinSergey ShorginVassili N. Kolokoltsov
- Topics
- Probability and Risk Models (51 papers)Financial Risk and Volatility Modeling (36 papers)Stochastic processes and financial applications (33 papers)
- Partner nations
- RussiaChinaTajikistan
In The Last Decade
V. Yu. Korolev
139 papers receiving 938 citations
Peers
Comparison fields: 5 of 78
- Finance 418
- Statistics and Probability 350
- Management Science and Operations Research 349
- Artificial Intelligence 243
- Mathematical Physics 233
Countries citing papers authored by V. Yu. Korolev
This map shows the geographic impact of V. Yu. Korolev'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 V. Yu. Korolev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Yu. Korolev more than expected).
Fields of papers citing papers by V. Yu. Korolev
This network shows the impact of papers produced by V. Yu. Korolev. 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 V. Yu. Korolev. The network helps show where V. Yu. Korolev may publish in the future.
Co-authorship network of co-authors of V. Yu. Korolev
This figure shows the co-authorship network connecting the top 25 collaborators of V. Yu. Korolev. A scholar is included among the top collaborators of V. Yu. Korolev 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 V. Yu. Korolev. V. Yu. Korolev 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 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | On Truncation for Weakly Ergodic Inhomogeneous Birth and Death Processes | 2 |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 31 | |
| 17 | 8 | |
| 18 | On approximations to generalized Cox processes | 2 |
| 19 | 6 | |
| 20 | 7 |
About V. Yu. Korolev
V. Yu. Korolev is a scholar working on Finance, Statistics and Probability and Management Science and Operations Research, having authored 167 papers that have together received 1.2k indexed citations. Recurring topics across this work include Probability and Risk Models (51 papers), Financial Risk and Volatility Modeling (36 papers) and Stochastic processes and financial applications (33 papers). The work is most often cited by research in Statistics and Probability (350 citations), Finance (418 citations) and Management Science and Operations Research (349 citations). V. Yu. Korolev has collaborated with scholars based in Russia, China and Tajikistan. Frequent co-authors include V. E. Bening, Б. В. Гнеденко, Alexander Zeifman, Andrey Gorshenin, Irina Shevtsova, Yacov Satin, Sergey Shorgin, Vassili N. Kolokoltsov, V. V. Uchaikin and Н. Н. Скворцова. Their work appears in journals such as Applied Mathematics and Computation, Optical Materials and Plasma Physics and Controlled Fusion.
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.