Ivan Glushkov
Impact in
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- Scientific Computing and Data Management
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- IoT and Edge/Fog Computing
Papers in
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- Distributed and Parallel Computing Systems 5
- Advanced Data Storage Technologies 5
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- Scientific Computing and Data Management 3
- Co-authors
- T. A. Beermann (1 shared paper)F. Berghaus (1 shared paper)D. Cameron (2 shared papers)A. Filipčič (2 shared papers)T. Maeno (2 shared papers)K. De (1 shared paper)J. Elmsheuser (1 shared paper)H. Wolters (1 shared paper)
- Journals
- EPJ Web of Conferences (6 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Ivan Glushkov
4 papers receiving 21 citations
Peers
Comparison fields: 5 of 13
- Information Systems and Management 7
- Computer Networks and Communications 17
- Hardware and Architecture 3
- Nuclear and High Energy Physics 3
- Water Science and Technology 2
Countries citing papers authored by Ivan Glushkov
This map shows the geographic impact of Ivan Glushkov'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 Ivan Glushkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Glushkov more than expected).
Fields of papers citing papers by Ivan Glushkov
This network shows the impact of papers produced by Ivan Glushkov. 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 Ivan Glushkov. The network helps show where Ivan Glushkov may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Glushkov, 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 | 2020 | 9 | |
| 2 | 2019 | 5 | |
| 3 | 2020 | 5 | |
| 4 | 2021 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2019 | 0 | |
| 7 | THE PHENOMENON OF "CONCORDANCE" IN CHILDREN'S PSYCHOLOGICAL AND PHYSICAL DEVELOPMENT | 2014 | 0 |
About Ivan Glushkov
Ivan Glushkov is a scholar working on Computer Networks and Communications, Information Systems and Management, Nuclear and High Energy Physics, Hardware and Architecture and Physical Therapy, Sports Therapy and Rehabilitation, having authored 7 papers that have together received 21 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Advanced Data Storage Technologies (5 papers), Scientific Computing and Data Management (3 papers), Particle physics theoretical and experimental studies (2 papers), Particle Accelerators and Free-Electron Lasers (1 paper), Particle Detector Development and Performance (1 paper), Physical Education and Training Studies (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Information Systems and Management (7 citations), Computer Networks and Communications (17 citations), Hardware and Architecture (3 citations), Nuclear and High Energy Physics (3 citations) and Water Science and Technology (2 citations). Ivan Glushkov has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include T. A. Beermann, F. Berghaus, D. Cameron, A. Filipčič, T. Maeno, K. De, J. Elmsheuser, H. Wolters, S. Cŕéṕe-Renaudin and N. Magini. Their work appears in journals such as EPJ Web of Conferences.
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.