Aleksei Sholokhov
- Statistical and Nonlinear Physics
- Artificial Intelligence
- Control and Systems Engineering
- Statistics, Probability and Uncertainty
- Civil and Structural Engineering
- Co-authors
- Hassan MansourSaleh NabiYuying LiuPetros T. BoufounosPeng ZhengDamian SantomauroAleksandr Y. AravkinJames V. Burke
- Topics
- Fluid Dynamics and Turbulent Flows (2 papers)Probabilistic and Robust Engineering Design (1 paper)Atomic and Subatomic Physics Research (1 paper)
- Cited by
- Acoustics and UltrasonicsStatistical and Nonlinear PhysicsStatistics, Probability and Uncertainty
- Journals
- Scientific ReportsJournal of Computational and Graphical StatisticsIEEE Transactions on Computational Imaging
- Partner nations
- United StatesAustralia
In The Last Decade
Aleksei Sholokhov
4 papers receiving 26 citations
Peers
Comparison fields: 5 of 28
- Statistical and Nonlinear Physics 10
- Artificial Intelligence 7
- Control and Systems Engineering 4
- Statistics, Probability and Uncertainty 4
- Civil and Structural Engineering 3
Countries citing papers authored by Aleksei Sholokhov
This map shows the geographic impact of Aleksei Sholokhov'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 Aleksei Sholokhov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aleksei Sholokhov more than expected).
Fields of papers citing papers by Aleksei Sholokhov
This network shows the impact of papers produced by Aleksei Sholokhov. 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 Aleksei Sholokhov. The network helps show where Aleksei Sholokhov may publish in the future.
Co-authorship network of co-authors of Aleksei Sholokhov
This figure shows the co-authorship network connecting the top 25 collaborators of Aleksei Sholokhov. A scholar is included among the top collaborators of Aleksei Sholokhov 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 Aleksei Sholokhov. Aleksei Sholokhov 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 | 25 | |
| 4 | 1 |
About Aleksei Sholokhov
Aleksei Sholokhov is a scholar working on Acoustics and Ultrasonics, Computer Graphics and Computer-Aided Design and Statistics, Probability and Uncertainty, having authored 4 papers that have together received 28 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (2 papers), Probabilistic and Robust Engineering Design (1 paper) and Atomic and Subatomic Physics Research (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (3 citations), Statistical and Nonlinear Physics (10 citations) and Statistics, Probability and Uncertainty (4 citations). Aleksei Sholokhov has collaborated with scholars based in United States and Australia. Frequent co-authors include Hassan Mansour, Saleh Nabi, Yuying Liu, Petros T. Boufounos, Peng Zheng, Damian Santomauro, Aleksandr Y. Aravkin, James V. Burke, Steven L. Brunton and J. Nathan Kutz. Their work appears in journals such as Scientific Reports, Journal of Computational and Graphical Statistics and IEEE Transactions on Computational Imaging.
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.