Igor Bychkov
Impact in
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- Scientific Computing and Data Management
Papers in
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- Distributed and Parallel Computing Systems 17
- Optimization and Search Problems 13
- Co-authors
- Huan Xu (2 shared papers)Chen Zeng (1 shared paper)Andrei Tchernykh (11 shared papers)Shanen Yu (1 shared paper)Ning Zhu (1 shared paper)Zhen Liu (1 shared paper)Guang Lin (1 shared paper)А. Л. Казаков (2 shared papers)
- Journals
- Applied Sciences (2 papers)Journal of Parallel and Distributed Computing (2 papers)Herald of the Russian Academy of Sciences (2 papers)Geography and Natural Resources (10 papers)Water (1 paper)
- Partner nations
- RussiaMexicoUnited States
In The Last Decade
Igor Bychkov
77 papers receiving 451 citations
Peers
Comparison fields: 5 of 86
- Information Systems and Management 57
- General Energy 7
- Water Science and Technology 81
- Environmental Engineering 77
- Computer Networks and Communications 119
Countries citing papers authored by Igor Bychkov
This map shows the geographic impact of Igor Bychkov'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 Igor Bychkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Bychkov more than expected).
Fields of papers citing papers by Igor Bychkov
This network shows the impact of papers produced by Igor Bychkov. 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 Igor Bychkov. The network helps show where Igor Bychkov may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Bychkov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 114 | |
| 2 | 2018 | 21 | |
| 3 | 2017 | 19 | |
| 4 | 2016 | 18 | |
| 5 | 2021 | 16 | |
| 6 | 2016 | 16 | |
| 7 | 2014 | 15 | |
| 8 | 2015 | 13 | |
| 9 | 2014 | 12 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 11 | |
| 12 | 2017 | 10 | |
| 13 | 2016 | 10 | |
| 14 | 2015 | 10 | |
| 15 | 2018 | 9 | |
| 16 | 2019 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2011 | 6 | |
| 20 | 2020 | 6 |
About Igor Bychkov
Igor Bychkov is a scholar working on Computer Networks and Communications, Information Systems, Control and Systems Engineering, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 93 papers that have together received 480 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (17 papers), Optimization and Search Problems (13 papers), Scientific Computing and Data Management (11 papers), Economic and Technological Systems Analysis (10 papers), Water Resources and Management (9 papers), Advanced Data Processing Techniques (9 papers), Robotic Path Planning Algorithms (8 papers) and Environmental Sustainability and Technology (8 papers). The work is most often cited by research in Information Systems and Management (57 citations), General Energy (7 citations), Water Science and Technology (81 citations), Environmental Engineering (77 citations) and Computer Networks and Communications (119 citations). Igor Bychkov has collaborated with scholars based in Russia, Mexico and United States. Frequent co-authors include Huan Xu, Chen Zeng, Andrei Tchernykh, Shanen Yu, Ning Zhu, Zhen Liu, Guang Lin, А. Л. Казаков, В. Н. Опарин and Gleb Radchenko. Their work appears in journals such as Applied Sciences, Journal of Parallel and Distributed Computing, Herald of the Russian Academy of Sciences, Geography and Natural Resources and Water.
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.