Sergei M. Grudsky
- Applied Mathematics top 1%
- Computational Theory and Mathematics top 1%
- Mathematical Physics top 2%
- Statistics and Probability top 5%
- Geometry and Topology top 5%
- Co-authors
- Albrecht BöttcherNikolai VasilevskiManuel BogoyaAlexey KarapetyantsBernd SilbermannIlya M. SpitkovskyAlexei RybkinEnrique Ramírez de Arellano
- Topics
- Matrix Theory and Algorithms (45 papers)Holomorphic and Operator Theory (37 papers)Spectral Theory in Mathematical Physics (28 papers)
In The Last Decade
Sergei M. Grudsky
66 papers receiving 857 citations
Peers
Comparison fields: 5 of 59
- Applied Mathematics 510
- Computational Theory and Mathematics 424
- Mathematical Physics 354
- Statistics and Probability 121
- Geometry and Topology 117
Countries citing papers authored by Sergei M. Grudsky
This map shows the geographic impact of Sergei M. Grudsky'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 Sergei M. Grudsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergei M. Grudsky more than expected).
Fields of papers citing papers by Sergei M. Grudsky
This network shows the impact of papers produced by Sergei M. Grudsky. 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 Sergei M. Grudsky. The network helps show where Sergei M. Grudsky may publish in the future.
Co-authorship network of co-authors of Sergei M. Grudsky
This figure shows the co-authorship network connecting the top 25 collaborators of Sergei M. Grudsky. A scholar is included among the top collaborators of Sergei M. Grudsky 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 Sergei M. Grudsky. Sergei M. Grudsky 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 14 | |
| 8 | 17 | |
| 9 | 27 | |
| 10 | 10 | |
| 11 | Radial toeplitz operators on the unit ball and slowly oscillating sequences | 17 |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 32 | |
| 15 | 3 | |
| 16 | 41 | |
| 17 | Dynamics of properties of Toeplitz operators on the upper half-plane: hyperbolic case | 6 |
| 18 | Commutative C*-algebras of Toeplitz operators and quantization on the unit disk | 3 |
| 19 | 6 | |
| 20 | 67 |
About Sergei M. Grudsky
Sergei M. Grudsky is a scholar working on Applied Mathematics, Algebra and Number Theory and Mathematical Physics, having authored 75 papers that have together received 941 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (45 papers), Holomorphic and Operator Theory (37 papers) and Spectral Theory in Mathematical Physics (28 papers). The work is most often cited by research in Applied Mathematics (510 citations), Mathematical Physics (354 citations) and Computational Theory and Mathematics (424 citations). Sergei M. Grudsky has collaborated with scholars based in Mexico, Russia and Germany. Frequent co-authors include Albrecht Böttcher, Nikolai Vasilevski, Manuel Bogoya, Alexey Karapetyants, Bernd Silbermann, Ilya M. Spitkovsky, Alexei Rybkin, Enrique Ramírez de Arellano, Stefano Serra‐Capizzano and Arieh Iserles. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Journal of Computational and Applied Mathematics and Journal of Functional Analysis.
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.