Ігор Рубан
Impact in
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- Information Systems and Technology Applications
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- Cybersecurity and Information Systems
Papers in
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- Cybersecurity and Information Systems 17
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- Advanced Computational Techniques in Science and Engineering 12
- Co-authors
- Hennadii Khudov (21 shared papers)Irina Khizhnyak (17 shared papers)Heorhii Kuchuk (2 shared papers)Vitaly Levashenko (2 shared papers)Andriy Kovalenko (7 shared papers)Andrii Shyshatskyi (1 shared paper)Nina Kuchuk (1 shared paper)Edyta Plebankiewicz (1 shared paper)
In The Last Decade
Ігор Рубан
46 papers receiving 402 citations
Peers
Comparison fields: 5 of 56
- Management Information Systems 99
- Computer Networks and Communications 128
- Management of Technology and Innovation 32
- Information Systems 98
- Media Technology 33
Countries citing papers authored by Ігор Рубан
This map shows the geographic impact of Ігор Рубан'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 Ігор Рубан with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ігор Рубан more than expected).
Fields of papers citing papers by Ігор Рубан
This network shows the impact of papers produced by Ігор Рубан. 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 Ігор Рубан. The network helps show where Ігор Рубан may publish in the future.
Co-authors
The 8 scholars most cited alongside Ігор Рубан, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 30 | |
| 2 | 2019 | 27 | |
| 3 | 2019 | 25 | |
| 4 | 2020 | 24 | |
| 5 | 2017 | 24 | |
| 6 | 2018 | 23 | |
| 7 | 2019 | 22 | |
| 8 | 2018 | 21 | |
| 9 | 2019 | 18 | |
| 10 | 2017 | 17 | |
| 11 | 2018 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2016 | 12 | |
| 14 | 2019 | 12 | |
| 15 | 2020 | 12 | |
| 16 | 2019 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2019 | 9 | |
| 19 | 2020 | 9 | |
| 20 | 2021 | 8 |
About Ігор Рубан
Ігор Рубан is a scholar working on Computer Networks and Communications, Information Systems, Management Information Systems, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 60 papers that have together received 432 indexed citations. Recurring topics across this work include Cybersecurity and Information Systems (17 papers), Information Systems and Technology Applications (14 papers), Advanced Computational Techniques in Science and Engineering (12 papers), Advanced Data Processing Techniques (9 papers), Environmental Sustainability and Technology (5 papers), Advanced Steganography and Watermarking Techniques (4 papers), Chaos-based Image/Signal Encryption (4 papers) and Advanced Scientific Research Methods (4 papers). The work is most often cited by research in Management Information Systems (99 citations), Computer Networks and Communications (128 citations), Management of Technology and Innovation (32 citations), Information Systems (98 citations) and Media Technology (33 citations). Ігор Рубан has collaborated with scholars based in Ukraine, Slovakia and Russia. Frequent co-authors include Hennadii Khudov, Irina Khizhnyak, Heorhii Kuchuk, Vitaly Levashenko, Andriy Kovalenko, Andrii Shyshatskyi, Nina Kuchuk and Edyta Plebankiewicz. Their work appears in journals such as Eastern-European Journal of Enterprise Technologies, Sustainability, Cybernetics and Systems Analysis, EUREKA Physics and Engineering and International Journal of Computer Network and Information Security.
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.