Sergey Ershov
Impact in
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- Computer Graphics and Visualization Techniques
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- Chaos control and synchronization
- Quantum chaos and dynamical systems
Papers in
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- Computer Graphics and Visualization Techniques 21
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- Data Visualization and Analytics 4
- Co-authors
- A. B. Potapov (2 shared papers)Karol Myszkowski (2 shared papers)Roman Ďurikovič (2 shared papers)A. Ruzmaikin (1 shared paper)В. А. Галактионов (14 shared papers)Jens Kirchner (1 shared paper)E.N. Kalinin (4 shared papers)Kirill Dmitriev (2 shared papers)
In The Last Decade
Sergey Ershov
41 papers receiving 304 citations
Peers
Comparison fields: 5 of 62
- Computer Graphics and Computer-Aided Design 137
- Statistical and Nonlinear Physics 120
- Computer Networks and Communications 87
- Computer Vision and Pattern Recognition 77
- Geology 20
Countries citing papers authored by Sergey Ershov
This map shows the geographic impact of Sergey Ershov'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 Ershov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey Ershov more than expected).
Fields of papers citing papers by Sergey Ershov
This network shows the impact of papers produced by Sergey Ershov. 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 Ershov. The network helps show where Sergey Ershov may publish in the future.
Co-authors
The 9 scholars most cited alongside Sergey Ershov, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 57 | |
| 2 | 1998 | 57 | |
| 3 | 2004 | 34 | |
| 4 | 1989 | 21 | |
| 5 | 1993 | 17 | |
| 6 | 1995 | 17 | |
| 7 | 1988 | 15 | |
| 8 | 1992 | 14 | |
| 9 | Simulation of sparkles in metallic paints | 1999 | 10 |
| 10 | 2020 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2019 | 6 | |
| 14 | 1997 | 6 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2002 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2015 | 3 |
About Sergey Ershov
Sergey Ershov is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computational Mechanics and Atomic and Molecular Physics, and Optics, having authored 54 papers that have together received 334 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (21 papers), Chaos control and synchronization (8 papers), 3D Shape Modeling and Analysis (7 papers), Quantum chaos and dynamical systems (6 papers), Nonlinear Dynamics and Pattern Formation (5 papers), Color Science and Applications (5 papers), Remote Sensing and LiDAR Applications (4 papers) and Data Visualization and Analytics (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (137 citations), Statistical and Nonlinear Physics (120 citations), Computer Networks and Communications (87 citations), Computer Vision and Pattern Recognition (77 citations) and Geology (20 citations). Sergey Ershov has collaborated with scholars based in Russia, Germany and Japan. Frequent co-authors include A. B. Potapov, Karol Myszkowski, Roman Ďurikovič, A. Ruzmaikin, В. А. Галактионов, Jens Kirchner, E.N. Kalinin, Kirill Dmitriev and Thomas Gries. Their work appears in journals such as Physics Letters A, Journal of Statistical Physics, Physica D Nonlinear Phenomena, The Visual Computer and Geophysical & Astrophysical Fluid Dynamics.
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.