V. Statulevičius
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Random Matrices and Applications
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
Papers in
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- Probability and Risk Models 8
-
- advanced mathematical theories 5
- Mathematical Dynamics and Fractals 4
- Stochastic processes and statistical mechanics 2
- Co-authors
- L. Saulis (6 shared papers)Yu. V. Prokhorov (1 shared paper)Jonas Kubilius (1 shared paper)H. Pragarauskas (1 shared paper)B. Grigelionis (2 shared papers)Vladas Pipiras (1 shared paper)Yu. V. Prohorov (1 shared paper)
In The Last Decade
V. Statulevičius
28 papers receiving 345 citations
Peers
Comparison fields: 5 of 64
- Statistics and Probability 136
- Mathematical Physics 146
- Finance 105
- Management Science and Operations Research 124
- Numerical Analysis 48
Countries citing papers authored by V. Statulevičius
This map shows the geographic impact of V. Statulevičius'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. Statulevičius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Statulevičius more than expected).
Fields of papers citing papers by V. Statulevičius
This network shows the impact of papers produced by V. Statulevičius. 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. Statulevičius. The network helps show where V. Statulevičius may publish in the future.
Co-authors
The 7 scholars most cited alongside V. Statulevičius, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 151 | |
| 2 | 1966 | 98 | |
| 3 | 1978 | 53 | |
| 4 | 2000 | 48 | |
| 5 | 1966 | 26 | |
| 6 | 1994 | 25 | |
| 7 | 1994 | 10 | |
| 8 | 1988 | 9 | |
| 9 | 1989 | 8 | |
| 10 | 1975 | 8 | |
| 11 | 1979 | 8 | |
| 12 | 1995 | 8 | |
| 13 | 1976 | 7 | |
| 14 | 1995 | 7 | |
| 15 | 1998 | 6 | |
| 16 | 2003 | 6 | |
| 17 | 1995 | 6 | |
| 18 | 1969 | 5 | |
| 19 | 1970 | 4 | |
| 20 | 1975 | 3 |
About V. Statulevičius
V. Statulevičius is a scholar working on Management Science and Operations Research, Mathematical Physics, Applied Mathematics, Statistics and Probability and Numerical Analysis, having authored 35 papers that have together received 513 indexed citations. Recurring topics across this work include Probability and Risk Models (8 papers), advanced mathematical theories (5 papers), Mathematical Dynamics and Fractals (4 papers), Stochastic processes and financial applications (3 papers), Stochastic processes and statistical mechanics (2 papers), Mathematical Approximation and Integration (2 papers), Material Science and Thermodynamics (2 papers) and Advanced Harmonic Analysis Research (1 paper). The work is most often cited by research in Statistics and Probability (136 citations), Mathematical Physics (146 citations), Finance (105 citations), Management Science and Operations Research (124 citations) and Numerical Analysis (48 citations). V. Statulevičius has collaborated with scholars based in Lithuania, Czechia and Russia. Frequent co-authors include L. Saulis, Yu. V. Prokhorov, Jonas Kubilius, H. Pragarauskas, B. Grigelionis, Vladas Pipiras and Yu. V. Prohorov. Their work appears in journals such as Lithuanian Mathematical Journal, Probability Theory and Related Fields, Mathematische Nachrichten, Russian Mathematical Surveys 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.