Gleb Radchenko
Impact in
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- Digital Transformation in Industry
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- IoT and Edge/Fog Computing
- Software System Performance and Reliability
- Advanced Data Storage Technologies
Papers in
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- Cloud Computing and Resource Management 19
- Cloud Data Security Solutions 10
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- IoT and Edge/Fog Computing 11
- Distributed and Parallel Computing Systems 9
- Advanced Data Storage Technologies 5
- Software System Performance and Reliability 5
- Co-authors
- Andrei Tchernykh (30 shared papers)Arutyun Avetisyan (12 shared papers)Mikhail Babenko (12 shared papers)Leonid B. Sokolinsky (3 shared papers)Sergey Ivanov (1 shared paper)Mikhail Zymbler (1 shared paper)Jorge M. Cortés-Mendoza (7 shared papers)Sergio Nesmachnow (6 shared papers)
In The Last Decade
Gleb Radchenko
44 papers receiving 536 citations
Peers
Comparison fields: 5 of 74
- Industrial and Manufacturing Engineering 123
- Computer Networks and Communications 227
- Information Systems 222
- Transportation 42
- Artificial Intelligence 166
Countries citing papers authored by Gleb Radchenko
This map shows the geographic impact of Gleb Radchenko'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 Gleb Radchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gleb Radchenko more than expected).
Fields of papers citing papers by Gleb Radchenko
This network shows the impact of papers produced by Gleb Radchenko. 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 Gleb Radchenko. The network helps show where Gleb Radchenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Gleb Radchenko, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2021 | 61 | |
| 3 | 2017 | 41 | |
| 4 | 2020 | 39 | |
| 5 | 2018 | 37 | |
| 6 | 2018 | 34 | |
| 7 | 2015 | 30 | |
| 8 | 2019 | 22 | |
| 9 | 2018 | 20 | |
| 10 | 2019 | 18 | |
| 11 | 2018 | 15 | |
| 12 | 2020 | 15 | |
| 13 | 2018 | 15 | |
| 14 | 2017 | 14 | |
| 15 | 2019 | 13 | |
| 16 | 2017 | 10 | |
| 17 | 2017 | 9 | |
| 18 | 2016 | 8 | |
| 19 | 2017 | 7 | |
| 20 | Microservices Validation: Methodology and Implementation | 2015 | 5 |
About Gleb Radchenko
Gleb Radchenko is a scholar working on Information Systems, Computer Networks and Communications, Artificial Intelligence, Information Systems and Management and Transportation, having authored 51 papers that have together received 565 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (19 papers), IoT and Edge/Fog Computing (11 papers), Cryptography and Data Security (10 papers), Cloud Data Security Solutions (10 papers), Distributed and Parallel Computing Systems (9 papers), Advanced Data Storage Technologies (5 papers), Digital Transformation in Industry (5 papers) and Software System Performance and Reliability (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (123 citations), Computer Networks and Communications (227 citations), Information Systems (222 citations), Transportation (42 citations) and Artificial Intelligence (166 citations). Gleb Radchenko has collaborated with scholars based in Russia, Mexico and Uruguay. Frequent co-authors include Andrei Tchernykh, Arutyun Avetisyan, Mikhail Babenko, Leonid B. Sokolinsky, Sergey Ivanov, Mikhail Zymbler, Jorge M. Cortés-Mendoza, Sergio Nesmachnow, Vanessa Miranda-López and Renzo Massobrio. Their work appears in journals such as Journal of Parallel and Distributed Computing, International Journal of Approximate Reasoning, IEEE Internet of Things Journal, Programming and Computer Software and Supercomputing Frontiers and Innovations.
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.