V. Bentkus

1.7k citations
74 papers · 978 · h-index 16

Impact in

Papers in

    • Stochastic processes and statistical mechanics 11
    • advanced mathematical theories 9
    • Spectral Theory in Mathematical Physics 7
    • Statistical Methods and Inference 14
    • Random Matrices and Applications 7

V. Bentkus

64 papers receiving 759 citations

Peers

V. Bentkus
Comparison fields: 5 of 68
  • Statistics and Probability 438
  • Mathematical Physics 309
  • Management Science and Operations Research 276
  • Numerical Analysis 102
  • Algebra and Number Theory 85
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Louis H. Y. Chen Singapore
Iosif Pinelis United States
S. V. Nagaev Russia
Pál Révész Hungary
Makoto Maejima Japan
D. N. Shanbhag United Kingdom
Stanisław Kwapień Poland
Yu. V. Prokhorov Russia
Edward Omey Belgium
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Citations per field
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Citations per year

Countries citing papers authored by V. Bentkus

Since Specialization
Citations

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

Fields of papers citing papers by V. Bentkus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside V. Bentkus, 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 V. Bentkus Line = papers co-authored together V. Bentkus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199689
2 200389
3 200468
4 199762
5 200546
6 199940
7 199737
8 199635
9 199635
10 199433
11 200326
12 198723
13 199922
14 199418
15 199718
16 200316
17 200715
18 199015
19 200114
20 200613

About V. Bentkus

V. Bentkus is a scholar working on Mathematical Physics, Statistics and Probability, Management Science and Operations Research, Artificial Intelligence and Applied Mathematics, having authored 74 papers that have together received 978 indexed citations. Recurring topics across this work include Probability and Risk Models (19 papers), Statistical Methods and Inference (14 papers), Bayesian Methods and Mixture Models (13 papers), Stochastic processes and statistical mechanics (11 papers), Stochastic processes and financial applications (9 papers), advanced mathematical theories (9 papers), Spectral Theory in Mathematical Physics (7 papers) and Random Matrices and Applications (7 papers). The work is most often cited by research in Statistics and Probability (438 citations), Mathematical Physics (309 citations), Management Science and Operations Research (276 citations), Numerical Analysis (102 citations) and Algebra and Number Theory (85 citations). V. Bentkus has collaborated with scholars based in Lithuania, Netherlands and Germany. Frequent co-authors include Friedrich Götze, W. R. van Zwet, Alfredas Račkauskas, Mindaugas Bloznelis, Ričardas Zitikis, Vygantas Paulauskas, Ivo Alberink, Bing‐Yi Jing, Zhou Wang and А. Н. Тихомиров. Their work appears in journals such as The Annals of Probability, Journal of Theoretical Probability, Lithuanian Mathematical Journal, Bernoulli and Probability Theory and Related Fields.

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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