S. A. Kaschenko
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Numerical Analysis top 10%
- Public Health, Environmental and Occupational Health
- Control and Systems Engineering
- Topics
- Nonlinear Dynamics and Pattern Formation (27 papers)Differential Equations and Numerical Methods (15 papers)Mathematical and Theoretical Epidemiology and Ecology Models (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaPhysica D Nonlinear PhenomenaOptics Communications
- Partner nations
- RussiaGermanyUnited States
In The Last Decade
S. A. Kaschenko
40 papers receiving 286 citations
Peers
Comparison fields: 5 of 35
- Computer Networks and Communications 216
- Statistical and Nonlinear Physics 131
- Numerical Analysis 84
- Public Health, Environmental and Occupational Health 83
- Control and Systems Engineering 51
Countries citing papers authored by S. A. Kaschenko
This map shows the geographic impact of S. A. Kaschenko'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 S. A. Kaschenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. A. Kaschenko more than expected).
Fields of papers citing papers by S. A. Kaschenko
This network shows the impact of papers produced by S. A. Kaschenko. 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 S. A. Kaschenko. The network helps show where S. A. Kaschenko may publish in the future.
Co-authorship network of co-authors of S. A. Kaschenko
This figure shows the co-authorship network connecting the top 25 collaborators of S. A. Kaschenko. A scholar is included among the top collaborators of S. A. Kaschenko 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 S. A. Kaschenko. S. A. Kaschenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Local Dynamics of Cahn–Hilliard Equation | 1 |
| 2 | 19 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | Asymptotics of Solutions of the Generalized Hutchinson’s Equation | 1 |
| 9 | 3 | |
| 10 | Stationary States of a Delay Differentional Equation of Insect Population’s Dynamics | 0 |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 8 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | Spatially inhomogeneous periodic solutions in the Hutchinson equation with distributed saturation | 1 |
| 18 | Local dynamics of DDE with large delay in the vicinity of the self-similar cycle | 1 |
| 19 | 4 | |
| 20 | 10 |
About S. A. Kaschenko
S. A. Kaschenko is a scholar working on Numerical Analysis, Modeling and Simulation and Computer Networks and Communications, having authored 51 papers that have together received 319 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (27 papers), Differential Equations and Numerical Methods (15 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (15 papers). The work is most often cited by research in Numerical Analysis (84 citations), Statistical and Nonlinear Physics (131 citations) and Computer Networks and Communications (216 citations). S. A. Kaschenko has collaborated with scholars based in Russia, Germany and United States. Frequent co-authors include Hermann Haken, Michael Bestehorn, С. Д. Глызин, Ellina Grigorieva, Wolfgang Schwarz and A. B. Potapov. Their work appears in journals such as SHILAP Revista de lepidopterología, Physica D Nonlinear Phenomena and Optics Communications.
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.