Sergey A. Denisov
- Mathematical Physics top 5%
- Spectral Theory in Mathematical Physics 34
- Numerical methods in inverse problems 11
- Advanced Mathematical Physics Problems 6
- Applied Mathematics top 5%
- Mathematical functions and polynomials 14
- Navier-Stokes equation solutions 4
-
- Advanced Mathematical Modeling in Engineering 13
- Matrix Theory and Algorithms 6
-
- Quantum chaos and dynamical systems 12
- Journals
- Journal of Approximation Theory (6 papers)Communications in Partial Differential Equations (3 papers)Journal of Functional Analysis (3 papers)
- Partner nations
- United StatesRussiaFrance
In The Last Decade
Sergey A. Denisov
42 papers receiving 300 citations
Peers
Comparison fields: 5 of 30
- Mathematical Physics 242
- Applied Mathematics 191
- Computational Theory and Mathematics 102
- Statistical and Nonlinear Physics 64
- Numerical Analysis 24
Countries citing papers authored by Sergey A. Denisov
This map shows the geographic impact of Sergey A. Denisov'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 Sergey A. Denisov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey A. Denisov more than expected).
Fields of papers citing papers by Sergey A. Denisov
This network shows the impact of papers produced by Sergey A. Denisov. 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 Sergey A. Denisov. The network helps show where Sergey A. Denisov may publish in the future.
Co-authorship network
The 5 scholars most cited alongside Sergey A. Denisov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2020 | 1 | |
| 3 | 2016 | 2 | |
| 4 | 2016 | 0 | |
| 5 | 2015 | 4 | |
| 6 | 2013 | 3 | |
| 7 | 2011 | 0 | |
| 8 | 2008 | 7 | |
| 9 | 2008 | 8 | |
| 10 | 2005 | 13 | |
| 11 | 2005 | 9 | |
| 12 | 2004 | 3 | |
| 13 | 2004 | 3 | |
| 14 | 2003 | 8 | |
| 15 | 2003 | 15 | |
| 16 | 2003 | 5 | |
| 17 | 2003 | 37 | |
| 18 | 2002 | 1 | |
| 19 | 2001 | 11 | |
| 20 | 2000 | 1 |
About Sergey A. Denisov
Sergey A. Denisov is a scholar working on Mathematical Physics, Applied Mathematics and Computational Theory and Mathematics, having authored 49 papers that have together received 317 indexed citations. Recurring topics across this work include Spectral Theory in Mathematical Physics (34 papers), Mathematical functions and polynomials (14 papers), Advanced Mathematical Modeling in Engineering (13 papers), Quantum chaos and dynamical systems (12 papers), Numerical methods in inverse problems (11 papers), Advanced Mathematical Physics Problems (6 papers), Matrix Theory and Algorithms (6 papers) and Navier-Stokes equation solutions (4 papers). The work is most often cited by research in Mathematical Physics (242 citations), Applied Mathematics (191 citations) and Computational Theory and Mathematics (102 citations). Sergey A. Denisov has collaborated with scholars based in United States, Russia and France. Frequent co-authors include Alexander Ivanovich Aptekarev, Alexander Kiselev, Barry Simon, D. N. Tulyakov and Keith Rush. Their work appears in journals such as Journal of Approximation Theory, Communications in Partial Differential Equations, Journal of Functional Analysis, Communications in Mathematical Physics and International Mathematics Research Notices.
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.