Yu. M. Berezansky
- Mathematical Physics top 5%
- Applied Mathematics top 5%
- Computational Theory and Mathematics top 5%
- Statistical and Nonlinear Physics top 10%
- Statistics and Probability top 5%
- Co-authors
- Yuri G. KondratievD. SomasundaramMichael ShmoishYu. G. KondratievEugene LytvynovSergio Albeverio
- Topics
- Spectral Theory in Mathematical Physics (5 papers)Matrix Theory and Algorithms (4 papers)Advanced Mathematical Modeling in Engineering (3 papers)
- Journals
- Mathematische NachrichtenFunctional Analysis and Its ApplicationsIntegral Equations and Operator Theory
- Partner nations
- UkrainePolandUnited States
In The Last Decade
Yu. M. Berezansky
22 papers receiving 462 citations
Peers
Comparison fields: 5 of 83
- Mathematical Physics 230
- Applied Mathematics 183
- Computational Theory and Mathematics 97
- Statistical and Nonlinear Physics 80
- Statistics and Probability 70
Countries citing papers authored by Yu. M. Berezansky
This map shows the geographic impact of Yu. M. Berezansky'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. M. Berezansky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu. M. Berezansky more than expected).
Fields of papers citing papers by Yu. M. Berezansky
This network shows the impact of papers produced by Yu. M. Berezansky. 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. M. Berezansky. The network helps show where Yu. M. Berezansky may publish in the future.
Co-authorship network of co-authors of Yu. M. Berezansky
This figure shows the co-authorship network connecting the top 25 collaborators of Yu. M. Berezansky. A scholar is included among the top collaborators of Yu. M. Berezansky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu. M. Berezansky. Yu. M. Berezansky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | THE INVESTIGATION OF A GENERALIZED MOMENT PROBLEM ASSOCIATED WITH CORRELATION MEASURES | 1 |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 14 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 18 | |
| 12 | 17 | |
| 13 | 7 | |
| 14 | 12 | |
| 15 | 8 | |
| 16 | 2 | |
| 17 | Functional Analysis | 229 |
| 18 | 9 | |
| 19 | 7 | |
| 20 | 19 |
About Yu. M. Berezansky
Yu. M. Berezansky is a scholar working on Mathematical Physics, Applied Mathematics and Algebra and Number Theory, having authored 26 papers that have together received 537 indexed citations. Recurring topics across this work include Spectral Theory in Mathematical Physics (5 papers), Matrix Theory and Algorithms (4 papers) and Advanced Mathematical Modeling in Engineering (3 papers). The work is most often cited by research in Mathematical Physics (230 citations), Applied Mathematics (183 citations) and Numerical Analysis (46 citations). Yu. M. Berezansky has collaborated with scholars based in Ukraine, Poland and United States. Frequent co-authors include Yuri G. Kondratiev, D. Somasundaram, Michael Shmoish, Yu. G. Kondratiev, Eugene Lytvynov and Sergio Albeverio. Their work appears in journals such as Mathematische Nachrichten, Functional Analysis and Its Applications and Integral Equations and Operator Theory.
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.