Irina Shevtsova

780 total citations
58 papers, 321 citations indexed

About

Irina Shevtsova is a scholar working on Mathematical Physics, Applied Mathematics and Management Science and Operations Research. According to data from OpenAlex, Irina Shevtsova has authored 58 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mathematical Physics, 15 papers in Applied Mathematics and 14 papers in Management Science and Operations Research. Recurrent topics in Irina Shevtsova's work include Probability and Risk Models (14 papers), Random Matrices and Applications (13 papers) and Bayesian Methods and Mixture Models (10 papers). Irina Shevtsova is often cited by papers focused on Probability and Risk Models (14 papers), Random Matrices and Applications (13 papers) and Bayesian Methods and Mixture Models (10 papers). Irina Shevtsova collaborates with scholars based in Russia, China and Tajikistan. Irina Shevtsova's co-authors include V. Yu. Korolev, Sergey Shorgin and Lutz Mattner and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Mathematics and Theory of Probability and Its Applications.

In The Last Decade

Irina Shevtsova

42 papers receiving 227 citations

Peers

Irina Shevtsova
Comparison fields: 5 of 51
  • Statistics and Probability 102
  • Management Science and Operations Research 88
  • Finance 81
  • Artificial Intelligence 77
  • Mathematical Physics 75
Replace Xiequan Fan with:
Xiequan Fan China
N. Etemadi United States
Claudio Macci Italy
Robert W. Keener United States
А. Н. Тихомиров Russia
N. G. Ushakov Russia
S. Y. Novak United Kingdom
Fuqing Gao China
V. Statulevičius Lithuania
Vladimir Rotar Russia
Xiequan Fan China View profile →
Citations per field, relative to Irina Shevtsova
Irina Shevtsova · 1×
Citations per year, relative to Irina Shevtsova
Irina Shevtsova · 1×

Countries citing papers authored by Irina Shevtsova

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026