B. Grigelionis

843 citations
61 papers · 441 · h-index 9

Impact in

  • Finance top 5%
    • Stochastic processes and financial applications
    • Financial Risk and Volatility Modeling
    • Statistical Distribution Estimation and Applications

Papers in

B. Grigelionis

51 papers receiving 348 citations

Peers

B. Grigelionis
Comparison fields: 5 of 79
  • Finance 226
  • Statistics and Probability 76
  • Mathematical Physics 78
  • Management Science and Operations Research 101
  • Applied Mathematics 63
Replace Maurice Robin with:
Maurice Robin United States
Richard H. Stockbridge United States
Łukasz Stettner Poland
Balram S. Rajput United States
Makiko Nisio Japan
Hans Rudolf Lerche Germany
Gideon Schwarz Israel
E. J. G. Pitman Australia
Jean -Michel Bismut France
Martin Jacobsen Denmark
B. Grigelionis relative to Maurice Robin United States Maurice Robin's profile →
Citations per field
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Citations per year

Countries citing papers authored by B. Grigelionis

Since Specialization
Citations

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

Fields of papers citing papers by B. Grigelionis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside B. Grigelionis, 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 B. Grigelionis Line = papers co-authored together B. Grigelionis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196672
2 199963
3 196349
4 200131
5 199425
6 201218
7 197111
8 19769
9 20039
10 19938
11 20078
12 19797
13 19767
14 20077
15 19986
16 19716
17 19746
18 20085
19 19625
20 20064

About B. Grigelionis

B. Grigelionis is a scholar working on Finance, Management Science and Operations Research, Mathematical Physics, Applied Mathematics and Statistics and Probability, having authored 61 papers that have together received 441 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (19 papers), Probability and Risk Models (15 papers), Financial Risk and Volatility Modeling (7 papers), Stochastic processes and statistical mechanics (7 papers), Point processes and geometric inequalities (5 papers), Random Matrices and Applications (4 papers), Bayesian Methods and Mixture Models (4 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Finance (226 citations), Statistics and Probability (76 citations), Mathematical Physics (78 citations), Management Science and Operations Research (101 citations) and Applied Mathematics (63 citations). B. Grigelionis has collaborated with scholars based in Lithuania, Czechia and Bulgaria. Frequent co-authors include Albert N. Shiryaev, Jonas Kubilius, H. Pragarauskas, V. Statulevičius, R. Mikulevíčius, Vigirdas Mackevičius and Yu. V. Prohorov. Their work appears in journals such as Lithuanian Mathematical Journal, Russian Mathematical Surveys, Scandinavian Actuarial Journal, Statistics & Probability Letters and Acta Applicandae Mathematicae.

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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