Alexey B. Iskakov
- Astronomy and Astrophysics top 10%
- Molecular Biology
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 10%
- Computational Mechanics top 10%
- Co-authors
- Emmanuel DormyJames C. McWilliamsS. C. CowleyA. A. SchekochihinM. R. E. ProctorJ. LimpouchHiroyuki NakanoА. А. Андреев
- Topics
- Model Reduction and Neural Networks (20 papers)Power System Optimization and Stability (16 papers)Laser-Plasma Interactions and Diagnostics (10 papers)
- Journals
- Physical Review LettersIEEE Transactions on Automatic ControlJournal of Computational Physics
- Partner nations
- RussiaCzechiaUnited States
In The Last Decade
Alexey B. Iskakov
49 papers receiving 489 citations
Peers
Comparison fields: 5 of 54
- Astronomy and Astrophysics 212
- Molecular Biology 187
- Electrical and Electronic Engineering 98
- Statistical and Nonlinear Physics 86
- Computational Mechanics 86
Countries citing papers authored by Alexey B. Iskakov
This map shows the geographic impact of Alexey B. Iskakov'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 Alexey B. Iskakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexey B. Iskakov more than expected).
Fields of papers citing papers by Alexey B. Iskakov
This network shows the impact of papers produced by Alexey B. Iskakov. 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 Alexey B. Iskakov. The network helps show where Alexey B. Iskakov may publish in the future.
Co-authorship network of co-authors of Alexey B. Iskakov
This figure shows the co-authorship network connecting the top 25 collaborators of Alexey B. Iskakov. A scholar is included among the top collaborators of Alexey B. Iskakov 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 Alexey B. Iskakov. Alexey B. Iskakov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 22 | |
| 11 | 7 | |
| 12 | 12 | |
| 13 | Complete Solution of the Hotelling Problem: Equilibrium in Secure Strategies for the Price Subgame | 1 |
| 14 | 78 | |
| 15 | 86 | |
| 16 | 13 | |
| 17 | 2 | |
| 18 | 44 | |
| 19 | 1 | |
| 20 | 1 |
About Alexey B. Iskakov
Alexey B. Iskakov is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis and Nuclear and High Energy Physics, having authored 50 papers that have together received 500 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (20 papers), Power System Optimization and Stability (16 papers) and Laser-Plasma Interactions and Diagnostics (10 papers). The work is most often cited by research in Astronomy and Astrophysics (212 citations), Statistical and Nonlinear Physics (86 citations) and Nuclear and High Energy Physics (70 citations). Alexey B. Iskakov has collaborated with scholars based in Russia, Czechia and United States. Frequent co-authors include Emmanuel Dormy, James C. McWilliams, S. C. Cowley, A. A. Schekochihin, M. R. E. Proctor, J. Limpouch, Hiroyuki Nakano, А. А. Андреев, Stéphane Descombes and N. Kleeorin. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Automatic Control and Journal of Computational 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.