Sergey Utev

1.9k citations
69 papers · 1.0k · h-index 18

Impact in

Papers in

Sergey Utev

67 papers receiving 932 citations

Peers

Sergey Utev
Comparison fields: 5 of 66
  • Statistics and Probability 422
  • Mathematical Physics 389
  • Finance 327
  • Management Science and Operations Research 411
  • Applied Mathematics 189
Replace Florin Avram with:
Florin Avram France
Erik A. van Doorn Netherlands
Torgny Lindvall Sweden
Makoto Maejima Japan
Fred W. Steutel Netherlands
Yu. V. Prokhorov Russia
P. Vellaisamy India
Florence Merlevède France
William D. Sudderth United States
Edward Omey Belgium
Sergey Utev relative to Florin Avram France Florin Avram's profile →
Citations per field
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Florin Avram · 1×
Citations per year

Countries citing papers authored by Sergey Utev

Since Specialization
Citations

This map shows the geographic impact of Sergey Utev'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 Sergey Utev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Utev more than expected).

Fields of papers citing papers by Sergey Utev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sergey Utev. 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 Sergey Utev. The network helps show where Sergey Utev may publish in the future.

Co-authors

The 21 scholars most cited alongside Sergey Utev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sergey Utev Line = papers co-authored together Sergey Utev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200395
2 200688
3 199779
4 198454
5 199151
6 199841
7 199440
8 199639
9 200635
10 199730
11 200427
12 199825
13 199923
14 198523
15 200223
16 201923
17 199919
18 199918
19 199917
20 199516

About Sergey Utev

Sergey Utev is a scholar working on Mathematical Physics, Management Science and Operations Research, Statistics and Probability, Finance and Modeling and Simulation, having authored 69 papers that have together received 1.0k indexed citations. Recurring topics across this work include Probability and Risk Models (25 papers), Stochastic processes and statistical mechanics (24 papers), Bayesian Methods and Mixture Models (14 papers), Stochastic processes and financial applications (13 papers), Random Matrices and Applications (10 papers), Mathematical Dynamics and Fractals (8 papers), COVID-19 epidemiological studies (6 papers) and Mathematical Approximation and Integration (5 papers). The work is most often cited by research in Statistics and Probability (422 citations), Mathematical Physics (389 citations), Finance (327 citations), Management Science and Operations Research (411 citations) and Applied Mathematics (189 citations). Sergey Utev has collaborated with scholars based in United Kingdom, Belgium and Australia. Frequent co-authors include Magda Peligrad, Claude Lefèvre, Florence Merlevède, A. D. Barbour, Alexandr Alekseevich Borovkov, Niels G. Becker, Claude Lefèvre, T. Cacoullos, V. Papathanasiou and Michel M. Denuit. Their work appears in journals such as Siberian Mathematical Journal, Journal of Applied Probability, Journal of Theoretical Probability, Advances in Applied Probability and The Annals of Probability.

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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