Maxim Deryabin
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Co-authors
- Mikhail BabenkoN.I. ChervyakovYongwoo LeeJieun EomYoung Sik KimJoon-Woo LeeJunghyun LeeJong‐Seon No
- Topics
- Cryptography and Residue Arithmetic (14 papers)Cryptography and Data Security (14 papers)Chaos-based Image/Signal Encryption (8 papers)
- Journals
- IEEE AccessSensorsNeurocomputing
- Partner nations
- RussiaMexicoSouth Korea
In The Last Decade
Maxim Deryabin
30 papers receiving 382 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 292
- Information Systems 167
- Computer Vision and Pattern Recognition 101
- Computer Networks and Communications 93
- Electrical and Electronic Engineering 41
Countries citing papers authored by Maxim Deryabin
This map shows the geographic impact of Maxim Deryabin'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 Maxim Deryabin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxim Deryabin more than expected).
Fields of papers citing papers by Maxim Deryabin
This network shows the impact of papers produced by Maxim Deryabin. 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 Maxim Deryabin. The network helps show where Maxim Deryabin may publish in the future.
Co-authorship network of co-authors of Maxim Deryabin
This figure shows the co-authorship network connecting the top 25 collaborators of Maxim Deryabin. A scholar is included among the top collaborators of Maxim Deryabin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maxim Deryabin. Maxim Deryabin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | High Performance Parallel Computing in Residue Number System | 5 |
| 14 | 34 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 10 | |
| 18 | 37 | |
| 19 | 5 | |
| 20 | 18 |
About Maxim Deryabin
Maxim Deryabin is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 406 indexed citations. Recurring topics across this work include Cryptography and Residue Arithmetic (14 papers), Cryptography and Data Security (14 papers) and Chaos-based Image/Signal Encryption (8 papers). The work is most often cited by research in Artificial Intelligence (292 citations), Information Systems (167 citations) and Computer Vision and Pattern Recognition (101 citations). Maxim Deryabin has collaborated with scholars based in Russia, Mexico and South Korea. Frequent co-authors include Mikhail Babenko, N.I. Chervyakov, Yongwoo Lee, Jieun Eom, Young Sik Kim, Joon-Woo Lee, Junghyun Lee, Jong‐Seon No, Eunsang Lee and HyungChul Kang. Their work appears in journals such as IEEE Access, Sensors and Neurocomputing.
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.