Maxim Deryabin

15 papers and 194 indexed citations i.

About

Maxim Deryabin is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Maxim Deryabin has authored 15 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Information Systems and 6 papers in Computational Theory and Mathematics. Recurrent topics in Maxim Deryabin’s work include Cryptography and Residue Arithmetic (7 papers), Cryptography and Data Security (6 papers) and Coding theory and cryptography (5 papers). Maxim Deryabin is often cited by papers focused on Cryptography and Residue Arithmetic (7 papers), Cryptography and Data Security (6 papers) and Coding theory and cryptography (5 papers). Maxim Deryabin collaborates with scholars based in Russia, South Korea and Mexico. Maxim Deryabin's co-authors include N.I. Chervyakov, Mikhail Babenko, Pavel Lyakhov, Yongwoo Lee, Donghoon Yoo, Eunsang Lee, Jong‐Seon No, Young Sik Kim, Joon-Woo Lee and Jung-Hyun Lee and has published in prestigious journals such as Sensors, IEEE Access and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Maxim Deryabin i

Fields of papers citing papers by Maxim Deryabin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Maxim Deryabin

Since Specialization
Citations

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).

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.

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2025