Yu. A. Rozanov
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
Papers in
-
- advanced mathematical theories 13
- Mathematical Dynamics and Fractals 4
- Finance 13
- Stochastic processes and financial applications 13
- Co-authors
- В. А. Волконский (2 shared papers)A. N. Kolmogorov (1 shared paper)И. А. Ибрагимов (4 shared papers)W. D. Ray (1 shared paper)Yu. V. Prohorov (3 shared papers)A. A. Kirillov (1 shared paper)Fernando Sansò (4 shared papers)S P Novikov (1 shared paper)
In The Last Decade
Yu. A. Rozanov
61 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 139
- Statistics and Probability 650
- Mathematical Physics 538
- Finance 559
- Applied Mathematics 289
- Management Science and Operations Research 328
Countries citing papers authored by Yu. A. Rozanov
This map shows the geographic impact of Yu. A. Rozanov'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 Yu. A. Rozanov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu. A. Rozanov more than expected).
Fields of papers citing papers by Yu. A. Rozanov
This network shows the impact of papers produced by Yu. A. Rozanov. 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 Yu. A. Rozanov. The network helps show where Yu. A. Rozanov may publish in the future.
Co-authors
The 19 scholars most cited alongside Yu. A. Rozanov, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1961 | 350 | |
| 2 | 1995 | 340 | |
| 3 | 1959 | 298 | |
| 4 | 1979 | 262 | |
| 5 | 1960 | 238 | |
| 6 | 1982 | 149 | |
| 7 | 1969 | 78 | |
| 8 | 1991 | 58 | |
| 9 | 1959 | 48 | |
| 10 | 1998 | 47 | |
| 11 | 1968 | 37 | |
| 12 | 1969 | 32 | |
| 13 | 1962 | 27 | |
| 14 | 1957 | 18 | |
| 15 | 1995 | 17 | |
| 16 | 1960 | 15 | |
| 17 | 1972 | 15 | |
| 18 | 1999 | 14 | |
| 19 | 1960 | 12 | |
| 20 | 2001 | 9 |
About Yu. A. Rozanov
Yu. A. Rozanov is a scholar working on Mathematical Physics, Finance, Applied Mathematics, Computational Theory and Mathematics and Numerical Analysis, having authored 68 papers that have together received 2.2k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (13 papers), advanced mathematical theories (13 papers), Advanced Mathematical Modeling in Engineering (7 papers), Analysis of environmental and stochastic processes (7 papers), Differential Equations and Numerical Methods (7 papers), Probability and Risk Models (5 papers), Differential Equations and Boundary Problems (4 papers) and Mathematical Dynamics and Fractals (4 papers). The work is most often cited by research in Statistics and Probability (650 citations), Mathematical Physics (538 citations), Finance (559 citations), Applied Mathematics (289 citations) and Management Science and Operations Research (328 citations). Yu. A. Rozanov has collaborated with scholars based in Russia, Italy and Germany. Frequent co-authors include В. А. Волконский, A. N. Kolmogorov, И. А. Ибрагимов, W. D. Ray, Yu. V. Prohorov, A. A. Kirillov, Fernando Sansò, S P Novikov, Giulia Di Nunno and Michiel Hazewinkel. Their work appears in journals such as Advances in Applied Probability, Journal of Multivariate Analysis, Sbornik Mathematics, Nagoya Mathematical Journal and Journal of Marketing Research.
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.