Yu. A. Rozanov
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Finance top 2%
- Financial Risk and Volatility Modeling
- Stochastic processes and financial applications
Papers in
-
- advanced mathematical theories 12
- Finance 11
- Stochastic processes and financial applications 11
- Co-authors
- В. А. Волконский (2 shared papers)A. N. Kolmogorov (1 shared paper)И. А. Ибрагимов (2 shared papers)W. D. Ray (1 shared paper)Yu. V. Prohorov (1 shared paper)Giulia Di Nunno (2 shared papers)Fernando Sansò (3 shared papers)Sergio Albeverio (3 shared papers)
In The Last Decade
Yu. A. Rozanov
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Statistics and Probability 555
- Finance 479
- Mathematical Physics 412
- Applied Mathematics 218
- Management Science and Operations Research 233
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 15 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1961 | 317 | |
| 2 | 1959 | 272 | |
| 3 | 1979 | 232 | |
| 4 | 1960 | 212 | |
| 5 | 1982 | 121 | |
| 6 | 1969 | 63 | |
| 7 | 1998 | 41 | |
| 8 | 1959 | 37 | |
| 9 | 1968 | 27 | |
| 10 | 1962 | 25 | |
| 11 | 1957 | 17 | |
| 12 | 1995 | 17 | |
| 13 | 1960 | 14 | |
| 14 | 1999 | 13 | |
| 15 | 1960 | 11 | |
| 16 | 1972 | 11 | |
| 17 | 1964 | 9 | |
| 18 | 1988 | 9 | |
| 19 | 1976 | 8 | |
| 20 | 2001 | 7 |
About Yu. A. Rozanov
Yu. A. Rozanov is a scholar working on Mathematical Physics, Finance, Numerical Analysis, Computational Theory and Mathematics and Applied Mathematics, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include advanced mathematical theories (12 papers), Stochastic processes and financial applications (11 papers), Advanced Mathematical Modeling in Engineering (7 papers), Differential Equations and Numerical Methods (7 papers), Analysis of environmental and stochastic processes (6 papers), Probability and Risk Models (5 papers), Differential Equations and Boundary Problems (4 papers) and Mathematical Approximation and Integration (3 papers). The work is most often cited by research in Statistics and Probability (555 citations), Finance (479 citations), Mathematical Physics (412 citations), Applied Mathematics (218 citations) and Management Science and Operations Research (233 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, Giulia Di Nunno, Fernando Sansò, Sergio Albeverio, Terry Lyons and Donald G. Watts. Their work appears in journals such as Advances in Applied Probability, Journal of Multivariate Analysis, Nagoya Mathematical Journal, Sbornik Mathematics and Applied Mathematics & Optimization.
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.