A. Pokrovskii
- Mathematical Physics top 10%
- Statistical and Nonlinear Physics top 5%
- Control and Systems Engineering top 10%
- Computer Networks and Communications
- Computational Theory and Mathematics top 10%
- Co-authors
- Peter E. KloedenДмитрий РачинскийPhil DiamondVladimir SobolevVictor KozyakinJ. P. O’KanePavel Krejčı́Rod Cross
- Topics
- Mathematical Dynamics and Fractals (13 papers)Quantum chaos and dynamical systems (10 papers)Advanced Mathematical Modeling in Engineering (7 papers)
In The Last Decade
A. Pokrovskii
47 papers receiving 275 citations
Peers
Comparison fields: 5 of 78
- Mathematical Physics 104
- Statistical and Nonlinear Physics 95
- Control and Systems Engineering 80
- Computer Networks and Communications 50
- Computational Theory and Mathematics 50
Countries citing papers authored by A. Pokrovskii
This map shows the geographic impact of A. Pokrovskii'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 A. Pokrovskii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Pokrovskii more than expected).
Fields of papers citing papers by A. Pokrovskii
This network shows the impact of papers produced by A. Pokrovskii. 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 A. Pokrovskii. The network helps show where A. Pokrovskii may publish in the future.
Co-authorship network of co-authors of A. Pokrovskii
This figure shows the co-authorship network connecting the top 25 collaborators of A. Pokrovskii. A scholar is included among the top collaborators of A. Pokrovskii 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 A. Pokrovskii. A. Pokrovskii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | [Effects of heptapeptide selank on the content of monoamines and their metabolites in the brain of BALB/C and C57Bl/6 mice: a comparative study]. | 4 |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 9 | |
| 9 | 11 | |
| 10 | 24 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 19 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | The effect of retinol deficiency on the activity of phospho lipase a and some lysosomal enzymes in rat testes | 1 |
| 19 | Principle underlying co-precipitation of mutually complementing proteins and a protein concentrate obtained on this basis. | 1 |
| 20 | 1 |
About A. Pokrovskii
A. Pokrovskii is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 52 papers that have together received 321 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (13 papers), Quantum chaos and dynamical systems (10 papers) and Advanced Mathematical Modeling in Engineering (7 papers). The work is most often cited by research in Mathematical Physics (104 citations), Statistical and Nonlinear Physics (95 citations) and Geometry and Topology (38 citations). A. Pokrovskii has collaborated with scholars based in Russia, Ireland and Australia. Frequent co-authors include Peter E. Kloeden, Дмитрий Рачинский, Phil Diamond, Vladimir Sobolev, Victor Kozyakin, J. P. O’Kane, Pavel Krejčı́, Rod Cross, Alexander Vladimirov and Jerzy Ombach. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Physica D Nonlinear Phenomena and Journal of Mathematical Physics.
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.