Nataliya Stankevich
- Statistical and Nonlinear Physics top 1%
- Computer Networks and Communications top 2%
- Cognitive Neuroscience
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- А. П. КузнецовС. П. КузнецовErik MosekildeН. В. КузнецовLeon O. ChuaГ. А. ЛеоновE.I. VolkovT. N. Mokaev
- Topics
- Nonlinear Dynamics and Pattern Formation (47 papers)Chaos control and synchronization (36 papers)Quantum chaos and dynamical systems (29 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
- Journals
- SHILAP Revista de lepidopterologíaPhysica D Nonlinear PhenomenaChaos Solitons & Fractals
In The Last Decade
Nataliya Stankevich
52 papers receiving 729 citations
Peers
Comparison fields: 5 of 62
- Statistical and Nonlinear Physics 615
- Computer Networks and Communications 528
- Cognitive Neuroscience 87
- Electrical and Electronic Engineering 64
- Artificial Intelligence 48
Countries citing papers authored by Nataliya Stankevich
This map shows the geographic impact of Nataliya Stankevich'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 Nataliya Stankevich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nataliya Stankevich more than expected).
Fields of papers citing papers by Nataliya Stankevich
This network shows the impact of papers produced by Nataliya Stankevich. 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 Nataliya Stankevich. The network helps show where Nataliya Stankevich may publish in the future.
Co-authorship network of co-authors of Nataliya Stankevich
This figure shows the co-authorship network connecting the top 25 collaborators of Nataliya Stankevich. A scholar is included among the top collaborators of Nataliya Stankevich 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 Nataliya Stankevich. Nataliya Stankevich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 10 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 17 | |
| 19 | 1 | |
| 20 | 4 |
About Nataliya Stankevich
Nataliya Stankevich is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Mathematical Physics, having authored 59 papers that have together received 762 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (47 papers), Chaos control and synchronization (36 papers) and Quantum chaos and dynamical systems (29 papers). The work is most often cited by research in Statistical and Nonlinear Physics (615 citations), Computer Networks and Communications (528 citations) and Cognitive Neuroscience (87 citations). Nataliya Stankevich has collaborated with scholars based in Russia, Finland and Denmark. Frequent co-authors include А. П. Кузнецов, С. П. Кузнецов, Erik Mosekilde, Н. В. Кузнецов, Leon O. Chua, Г. А. Леонов, E.I. Volkov, T. N. Mokaev, I. R. Sataev and С. В. Гонченко. Their work appears in journals such as SHILAP Revista de lepidopterología, Physica D Nonlinear Phenomena and Chaos Solitons & Fractals.
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.