M. A. Tsyganov
- Computer Networks and Communications top 5%
- Molecular Biology
- Statistical and Nonlinear Physics top 2%
- Public Health, Environmental and Occupational Health top 10%
- Modeling and Simulation top 2%
- Co-authors
- V. N. BiktashevIvanitskiĭ GrJ. BrindleyBoris Ν. KholodenkoArun V. HoldenWalter KölchE. P. ZemskovJan B. Hoek
- Topics
- Nonlinear Dynamics and Pattern Formation (30 papers)Mathematical Biology Tumor Growth (14 papers)Mathematical and Theoretical Epidemiology and Ecology Models (11 papers)
- Cited by
- Modeling and SimulationStatistical and Nonlinear PhysicsComputer Networks and Communications
- Partner nations
- RussiaUnited KingdomUnited States
In The Last Decade
M. A. Tsyganov
57 papers receiving 950 citations
Peers
Comparison fields: 5 of 105
- Computer Networks and Communications 392
- Molecular Biology 279
- Statistical and Nonlinear Physics 255
- Public Health, Environmental and Occupational Health 220
- Modeling and Simulation 184
Countries citing papers authored by M. A. Tsyganov
This map shows the geographic impact of M. A. Tsyganov'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 M. A. Tsyganov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. A. Tsyganov more than expected).
Fields of papers citing papers by M. A. Tsyganov
This network shows the impact of papers produced by M. A. Tsyganov. 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 M. A. Tsyganov. The network helps show where M. A. Tsyganov may publish in the future.
Co-authorship network of co-authors of M. A. Tsyganov
This figure shows the co-authorship network connecting the top 25 collaborators of M. A. Tsyganov. A scholar is included among the top collaborators of M. A. Tsyganov 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 M. A. Tsyganov. M. A. Tsyganov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 22 | |
| 8 | 13 | |
| 9 | 29 | |
| 10 | 15 | |
| 11 | 9 | |
| 12 | 9 | |
| 13 | 24 | |
| 14 | 1 | |
| 15 | 84 | |
| 16 | 2 | |
| 17 | 12 | |
| 18 | 20 | |
| 19 | [Fractal self-organization in Escherichia coli populations: experimental study]. | 3 |
| 20 | 9 |
About M. A. Tsyganov
M. A. Tsyganov is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (30 papers), Mathematical Biology Tumor Growth (14 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (11 papers). The work is most often cited by research in Modeling and Simulation (184 citations), Statistical and Nonlinear Physics (255 citations) and Computer Networks and Communications (392 citations). M. A. Tsyganov has collaborated with scholars based in Russia, United Kingdom and United States. Frequent co-authors include V. N. Biktashev, Ivanitskiĭ Gr, J. Brindley, Boris Ν. Kholodenko, Arun V. Holden, Walter Kölch, E. P. Zemskov, Jan B. Hoek, Werner Horsthemke and A.V. Holden. Their work appears in journals such as Physical Review Letters, Nucleic Acids Research and eLife.
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.