Vladimir Yanovsky
- Biomedical Engineering top 10%
- Molecular Biology
- Artificial Intelligence top 5%
- Computational Mechanics top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- A. ToorS. S. MoiseevA. V. TurAleksei V. ChechkinDaniel SchertzerV.I. DubinkoВ. В. СлезовU. S. Mahabaleshwar
- Topics
- Fluid Dynamics and Turbulent Flows (31 papers)Solar and Space Plasma Dynamics (20 papers)Quantum chaos and dynamical systems (15 papers)
- Journals
- Physical Review LettersThe Journal of Chemical PhysicsSHILAP Revista de lepidopterología
In The Last Decade
Vladimir Yanovsky
76 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Biomedical Engineering 472
- Molecular Biology 299
- Artificial Intelligence 249
- Computational Mechanics 204
- Statistical and Nonlinear Physics 197
Countries citing papers authored by Vladimir Yanovsky
This map shows the geographic impact of Vladimir Yanovsky'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 Vladimir Yanovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Yanovsky more than expected).
Fields of papers citing papers by Vladimir Yanovsky
This network shows the impact of papers produced by Vladimir Yanovsky. 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 Vladimir Yanovsky. The network helps show where Vladimir Yanovsky may publish in the future.
Co-authorship network of co-authors of Vladimir Yanovsky
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Yanovsky. A scholar is included among the top collaborators of Vladimir Yanovsky 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 Vladimir Yanovsky. Vladimir Yanovsky 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 16 | |
| 10 | 16 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 16 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 9 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 7 |
About Vladimir Yanovsky
Vladimir Yanovsky is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Astronomy and Astrophysics, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (31 papers), Solar and Space Plasma Dynamics (20 papers) and Quantum chaos and dynamical systems (15 papers). The work is most often cited by research in Statistical and Nonlinear Physics (197 citations), Modeling and Simulation (69 citations) and Biomedical Engineering (472 citations). Vladimir Yanovsky has collaborated with scholars based in Ukraine, France and Russia. Frequent co-authors include A. Toor, S. S. Moiseev, A. V. Tur, Aleksei V. Chechkin, Daniel Schertzer, V.I. Dubinko, В. В. Слезов, U. S. Mahabaleshwar, P. Louarn and V.Yu. Gonchar. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.
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.