N.I. Chervyakov
Impact in
- Information Systems top 2%
- Cryptography and Residue Arithmetic
- Cloud Data Security Solutions
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- Chaos-based Image/Signal Encryption
- Image and Signal Denoising Methods
Papers in
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- Cryptography and Residue Arithmetic 31
- Cloud Data Security Solutions 11
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- Cryptography and Data Security 16
- Cryptographic Implementations and Security 11
- Coding theory and cryptography 11
- Co-authors
- Pavel Lyakhov (40 shared papers)Nikolay Nagornov (10 shared papers)Maria Valueva (16 shared papers)Georgii Valuev (6 shared papers)Mikhail Babenko (39 shared papers)Andrei Tchernykh (18 shared papers)Maxim Deryabin (20 shared papers)Vanessa Miranda-López (10 shared papers)
In The Last Decade
N.I. Chervyakov
70 papers receiving 889 citations
N.I. Chervyakov's Hit Papers
Peers
Comparison fields: 5 of 130
- Information Systems 354
- Computer Vision and Pattern Recognition 259
- Artificial Intelligence 371
- Computer Networks and Communications 209
- Media Technology 63
Countries citing papers authored by N.I. Chervyakov
This map shows the geographic impact of N.I. Chervyakov'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 N.I. Chervyakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N.I. Chervyakov more than expected).
Fields of papers citing papers by N.I. Chervyakov
This network shows the impact of papers produced by N.I. Chervyakov. 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 N.I. Chervyakov. The network helps show where N.I. Chervyakov may publish in the future.
Co-authors
The 23 scholars most cited alongside N.I. Chervyakov, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Application of the residue number system to reduce hardware costs of the convolutional neural network implementation Hit paper breakdown → | 2020 | 330 |
| 2 | 2017 | 74 | |
| 3 | 2020 | 39 | |
| 4 | 2016 | 37 | |
| 5 | 2018 | 34 | |
| 6 | 2014 | 29 | |
| 7 | 2020 | 28 | |
| 8 | 2018 | 23 | |
| 9 | 2014 | 20 | |
| 10 | 2017 | 19 | |
| 11 | 2016 | 18 | |
| 12 | 2017 | 15 | |
| 13 | 2020 | 15 | |
| 14 | 2018 | 14 | |
| 15 | 2019 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2019 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2017 | 10 | |
| 20 | 2019 | 10 |
About N.I. Chervyakov
N.I. Chervyakov is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Computational Theory and Mathematics, having authored 73 papers that have together received 945 indexed citations. Recurring topics across this work include Cryptography and Residue Arithmetic (31 papers), Cryptography and Data Security (16 papers), Cryptographic Implementations and Security (11 papers), Coding theory and cryptography (11 papers), Chaos-based Image/Signal Encryption (11 papers), Cloud Data Security Solutions (11 papers), Numerical Methods and Algorithms (10 papers) and Advanced Image Fusion Techniques (9 papers). The work is most often cited by research in Information Systems (354 citations), Computer Vision and Pattern Recognition (259 citations), Artificial Intelligence (371 citations), Computer Networks and Communications (209 citations) and Media Technology (63 citations). N.I. Chervyakov has collaborated with scholars based in Russia, Mexico and France. Frequent co-authors include Pavel Lyakhov, Nikolay Nagornov, Maria Valueva, Georgii Valuev, Mikhail Babenko, Andrei Tchernykh, Maxim Deryabin, Vanessa Miranda-López, Jorge M. Cortés-Mendoza and Dmitrii Kaplun. Their work appears in journals such as Electronics, Neurocomputing, Computer Optics, Applied Sciences 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.