V. S. Korolyuk
- Mathematical Physics top 5%
- Finance top 5%
- Management Science and Operations Research top 10%
- Statistics and Probability top 5%
- Artificial Intelligence
- Co-authors
- А. Ф. ТурбінNikolaos LimniosIvan EzhovВ. М. ЗолотаревSamuil D. EidelmanА. А. БоровковA. N. KolmogorovLyudmyla Sakhno
- Topics
- Stochastic processes and statistical mechanics (17 papers)Stochastic processes and financial applications (13 papers)advanced mathematical theories (12 papers)
- Journals
- Computers & Mathematics with ApplicationsRussian Mathematical SurveysCommunication in Statistics- Theory and Methods
In The Last Decade
V. S. Korolyuk
55 papers receiving 281 citations
Peers
Comparison fields: 5 of 68
- Mathematical Physics 140
- Finance 107
- Management Science and Operations Research 67
- Statistics and Probability 56
- Artificial Intelligence 47
Countries citing papers authored by V. S. Korolyuk
This map shows the geographic impact of V. S. Korolyuk'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. S. Korolyuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. S. Korolyuk more than expected).
Fields of papers citing papers by V. S. Korolyuk
This network shows the impact of papers produced by V. S. Korolyuk. 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. S. Korolyuk. The network helps show where V. S. Korolyuk may publish in the future.
Co-authorship network of co-authors of V. S. Korolyuk
This figure shows the co-authorship network connecting the top 25 collaborators of V. S. Korolyuk. A scholar is included among the top collaborators of V. S. Korolyuk 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. S. Korolyuk. V. S. Korolyuk 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 | 5 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 8 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 7 | |
| 15 | 4 | |
| 16 | 20 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 5 | |
| 20 | 1 |
About V. S. Korolyuk
V. S. Korolyuk is a scholar working on Mathematical Physics, Statistics and Probability and Finance, having authored 70 papers that have together received 395 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (17 papers), Stochastic processes and financial applications (13 papers) and advanced mathematical theories (12 papers). The work is most often cited by research in Mathematical Physics (140 citations), Finance (107 citations) and Statistics and Probability (56 citations). V. S. Korolyuk has collaborated with scholars based in Ukraine, Czechia and France. Frequent co-authors include А. Ф. Турбін, Nikolaos Limnios, Ivan Ezhov, В. М. Золотарев, Samuil D. Eidelman, А. А. Боровков, A. N. Kolmogorov, Lyudmyla Sakhno, Yuliya Mishura and Georgiy Shevchenko. Their work appears in journals such as Computers & Mathematics with Applications, Russian Mathematical Surveys and Communication in Statistics- Theory and Methods.
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.