Yaroslav Kholodov
- Transportation top 10%
- Transportation Planning and Optimization 5
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- Cellular Mechanics and Interactions 4
- Microtubule and mitosis dynamics 3
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- Protein Structure and Dynamics 9
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- Computational Drug Discovery Methods 4
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- Traffic control and management 6
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- Enzyme Structure and Function 5
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- Traffic Prediction and Management Techniques 4
- Co-authors
- Valeri BarsegovArtem ZhmurovRuxandra I. DimaOlga KononovaKenneth A. MarxAndrey AlekseenkoDima KozakovFazly I. Ataullakhanov
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)SHILAP Revista de lepidopterología (4 papers)
- Partner nations
- RussiaUnited StatesChina
In The Last Decade
Yaroslav Kholodov
38 papers receiving 378 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Transportation 43
- Cell Biology 90
- Molecular Biology 179
- Computational Theory and Mathematics 33
- Automotive Engineering 23
Countries citing papers authored by Yaroslav Kholodov
This map shows the geographic impact of Yaroslav Kholodov'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 Yaroslav Kholodov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaroslav Kholodov more than expected).
Fields of papers citing papers by Yaroslav Kholodov
This network shows the impact of papers produced by Yaroslav Kholodov. 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 Yaroslav Kholodov. The network helps show where Yaroslav Kholodov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yaroslav Kholodov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | AI Agents Meet Blockchain: A Survey on Secure and Scalable Collaboration for Multi-Agentsbreakdown → | 2025 | 13 |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 4 | |
| 10 | 2019 | 17 | |
| 11 | 2018 | 10 | |
| 12 | 2016 | 44 | |
| 13 | 2016 | 16 | |
| 14 | 2015 | 1 | |
| 15 | 2015 | 1 | |
| 16 | 2010 | 51 | |
| 17 | 2010 | 3 | |
| 18 | 2004 | 4 | |
| 19 | 2004 | 1 | |
| 20 | A Monotone High-Order Accuracy Scheme for Hyperbolic CFD Problems | 2000 | 2 |
About Yaroslav Kholodov
Yaroslav Kholodov is a scholar working on Transportation, Earth-Surface Processes and Cell Biology, having authored 40 papers that have together received 390 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Traffic control and management (6 papers), Enzyme Structure and Function (5 papers), Transportation Planning and Optimization (5 papers), Cellular Mechanics and Interactions (4 papers), Traffic Prediction and Management Techniques (4 papers), Computational Drug Discovery Methods (4 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Transportation (43 citations), Cell Biology (90 citations) and Molecular Biology (179 citations). Yaroslav Kholodov has collaborated with scholars based in Russia, United States and China. Frequent co-authors include Valeri Barsegov, Artem Zhmurov, Ruxandra I. Dima, Olga Kononova, Kenneth A. Marx, Andrey Alekseenko, Dima Kozakov, Fazly I. Ataullakhanov, Sándor Vajda and Ekaterina L. Grishchuk. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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.