V. Belavin
Impact in
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- Digital Transformation in Industry
- Flexible and Reconfigurable Manufacturing Systems
- Manufacturing Process and Optimization
Papers in
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- Advanced Data Storage Technologies 3
- Distributed and Parallel Computing Systems 1
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- Machine Learning and Data Classification 1
- Reinforcement Learning in Robotics 1
- Evolutionary Algorithms and Applications 1
- Computational Physics and Python Applications 1
- Co-authors
- A. Ustyuzhanin (5 shared papers)Kenenbek Arzymatov (3 shared papers)A. Sapronov (3 shared papers)Mikhail Lazarev (1 shared paper)С. Б. Попов (1 shared paper)M. Karpov (2 shared papers)
- Journals
- PeerJ Computer Science (2 papers)Journal of Physics Conference Series (1 paper)Russian Agency for Digital Standardization (1 paper)
In The Last Decade
V. Belavin
5 papers receiving 15 citations
Peers
Comparison fields: 5 of 17
- Industrial and Manufacturing Engineering 4
- Metals and Alloys 1
- Computer Networks and Communications 5
- Management Science and Operations Research 2
- Hardware and Architecture 1
Countries citing papers authored by V. Belavin
This map shows the geographic impact of V. Belavin'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 V. Belavin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Belavin more than expected).
Fields of papers citing papers by V. Belavin
This network shows the impact of papers produced by V. Belavin. 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 V. Belavin. The network helps show where V. Belavin may publish in the future.
Co-authors
The 6 scholars most cited alongside V. Belavin, 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 | 2019 | 5 | |
| 2 | 2020 | 4 | |
| 3 | 2023 | 3 | |
| 4 | 2020 | 2 | |
| 5 | Hybrid approach to design of storage attached network simulation systems | 2018 | 1 |
About V. Belavin
V. Belavin is a scholar working on Computer Networks and Communications, Artificial Intelligence, Management Science and Operations Research, Statistical and Nonlinear Physics and Information Systems and Management, having authored 5 papers that have together received 15 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (3 papers), Simulation Techniques and Applications (3 papers), Machine Learning and Data Classification (1 paper), Scientific Computing and Data Management (1 paper), Reinforcement Learning in Robotics (1 paper), Evolutionary Algorithms and Applications (1 paper), Computational Physics and Python Applications (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (4 citations), Metals and Alloys (1 citation), Computer Networks and Communications (5 citations), Management Science and Operations Research (2 citations) and Hardware and Architecture (1 citation). V. Belavin has collaborated with scholars based in Russia, Germany and Singapore. Frequent co-authors include A. Ustyuzhanin, Kenenbek Arzymatov, A. Sapronov, Mikhail Lazarev, С. Б. Попов and M. Karpov. Their work appears in journals such as PeerJ Computer Science, Journal of Physics Conference Series and Russian Agency for Digital Standardization.
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.