Irina Shevtsova
- Statistics and Probability top 5%
- Management Science and Operations Research top 5%
- Finance top 10%
- Artificial Intelligence
- Mathematical Physics top 10%
- Co-authors
- V. Yu. KorolevSergey ShorginLutz Mattner
- Topics
- Probability and Risk Models (14 papers)Random Matrices and Applications (13 papers)Bayesian Methods and Mixture Models (10 papers)
- Journals
- Journal of Mathematical Analysis and ApplicationsMathematicsTheory of Probability and Its Applications
- Partner nations
- RussiaChinaTajikistan
In The Last Decade
Irina Shevtsova
42 papers receiving 227 citations
Peers
Comparison fields: 5 of 51
- Statistics and Probability 102
- Management Science and Operations Research 88
- Finance 81
- Artificial Intelligence 77
- Mathematical Physics 75
Countries citing papers authored by Irina Shevtsova
This map shows the geographic impact of Irina Shevtsova'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 Irina Shevtsova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irina Shevtsova more than expected).
Fields of papers citing papers by Irina Shevtsova
This network shows the impact of papers produced by Irina Shevtsova. 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 Irina Shevtsova. The network helps show where Irina Shevtsova may publish in the future.
Co-authorship network of co-authors of Irina Shevtsova
This figure shows the co-authorship network connecting the top 25 collaborators of Irina Shevtsova. A scholar is included among the top collaborators of Irina Shevtsova 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 Irina Shevtsova. Irina Shevtsova 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 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | A shape bias transformation with application to characteristic functions | 1 |
| 13 | 2 | |
| 14 | Уточнение неравенства Берри-Эссеена с приложениями к пуассоновским и смешанным пуассоновским случайным суммам | 3 |
| 15 | 60 | |
| 16 | 0 | |
| 17 | Уточнение верхней оценки абсолютной постоянной в неравенстве Берри-Эссеена для смешанных пуассоновских случайных сумм | 1 |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 6 |
About Irina Shevtsova
Irina Shevtsova is a scholar working on Mathematical Physics, Statistics and Probability and Applied Mathematics, having authored 58 papers that have together received 321 indexed citations. Recurring topics across this work include Probability and Risk Models (14 papers), Random Matrices and Applications (13 papers) and Bayesian Methods and Mixture Models (10 papers). The work is most often cited by research in Statistics and Probability (102 citations), Mathematical Physics (75 citations) and Finance (81 citations). Irina Shevtsova has collaborated with scholars based in Russia, China and Tajikistan. Frequent co-authors include V. Yu. Korolev, Sergey Shorgin and Lutz Mattner. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Mathematics and Theory of Probability and Its Applications.
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.