Mikhail Babenko
Impact in
- Information Systems top 1%
- Cryptography and Residue Arithmetic
- Cloud Data Security Solutions
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- Advanced Data Storage Technologies
- IoT and Edge/Fog Computing
Papers in
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- Cryptography and Residue Arithmetic 49
- Cloud Data Security Solutions 19
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- Cryptography and Data Security 40
- Coding theory and cryptography 11
- Co-authors
- Andrei Tchernykh (55 shared papers)N.I. Chervyakov (39 shared papers)Vanessa Miranda-López (15 shared papers)Jorge M. Cortés-Mendoza (16 shared papers)Arutyun Avetisyan (22 shared papers)El‐Ghazali Talbi (2 shared papers)Maxim Deryabin (25 shared papers)Pavel Lyakhov (10 shared papers)
In The Last Decade
Mikhail Babenko
88 papers receiving 697 citations
Peers
Comparison fields: 5 of 61
- Information Systems 469
- Computer Networks and Communications 299
- Artificial Intelligence 408
- Computer Vision and Pattern Recognition 146
- Computational Theory and Mathematics 69
Countries citing papers authored by Mikhail Babenko
This map shows the geographic impact of Mikhail Babenko'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 Mikhail Babenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Babenko more than expected).
Fields of papers citing papers by Mikhail Babenko
This network shows the impact of papers produced by Mikhail Babenko. 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 Mikhail Babenko. The network helps show where Mikhail Babenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Mikhail Babenko, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 119 | |
| 2 | 2017 | 74 | |
| 3 | 2021 | 61 | |
| 4 | 2020 | 39 | |
| 5 | 2016 | 37 | |
| 6 | 2018 | 34 | |
| 7 | 2014 | 29 | |
| 8 | 2014 | 20 | |
| 9 | 2019 | 18 | |
| 10 | 2016 | 18 | |
| 11 | 2017 | 15 | |
| 12 | 2019 | 14 | |
| 13 | 2020 | 12 | |
| 14 | 2020 | 10 | |
| 15 | 2017 | 10 | |
| 16 | 2018 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2019 | 9 | |
| 19 | 2017 | 9 | |
| 20 | 2018 | 8 |
About Mikhail Babenko
Mikhail Babenko is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 98 papers that have together received 741 indexed citations. Recurring topics across this work include Cryptography and Residue Arithmetic (49 papers), Cryptography and Data Security (40 papers), Advanced Data Storage Technologies (24 papers), Cloud Data Security Solutions (19 papers), Chaos-based Image/Signal Encryption (17 papers), Advanced Data Processing Techniques (13 papers), Numerical Methods and Algorithms (12 papers) and Coding theory and cryptography (11 papers). The work is most often cited by research in Information Systems (469 citations), Computer Networks and Communications (299 citations), Artificial Intelligence (408 citations), Computer Vision and Pattern Recognition (146 citations) and Computational Theory and Mathematics (69 citations). Mikhail Babenko has collaborated with scholars based in Russia, Mexico and France. Frequent co-authors include Andrei Tchernykh, N.I. Chervyakov, Vanessa Miranda-López, Jorge M. Cortés-Mendoza, Arutyun Avetisyan, El‐Ghazali Talbi, Maxim Deryabin, Pavel Lyakhov, Gleb Radchenko and Raúl Rivera-Rodríguez. Their work appears in journals such as Applied Sciences, Electronics, Neurocomputing, IEEE Access and International Journal of Approximate Reasoning.
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.