Pavel Lyakhov

78 papers and 658 indexed citations i.

About

Pavel Lyakhov is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Pavel Lyakhov has authored 78 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 24 papers in Information Systems. Recurrent topics in Pavel Lyakhov’s work include Cryptography and Residue Arithmetic (19 papers), Image and Signal Denoising Methods (14 papers) and Advanced Image Fusion Techniques (12 papers). Pavel Lyakhov is often cited by papers focused on Cryptography and Residue Arithmetic (19 papers), Image and Signal Denoising Methods (14 papers) and Advanced Image Fusion Techniques (12 papers). Pavel Lyakhov collaborates with scholars based in Russia, Iran and Bangladesh. Pavel Lyakhov's co-authors include N.I. Chervyakov, Nikolay Nagornov, Maria Valueva, Georgii Valuev, Mikhail Babenko, Maxim Deryabin, Dmitrii Kaplun, Ali Newaz Bahar, Amir Sabbagh Molahosseini and Khan A. Wahid and has published in prestigious journals such as IEEE Access, Sustainability and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Pavel Lyakhov i

Fields of papers citing papers by Pavel Lyakhov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pavel Lyakhov. 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 Pavel Lyakhov. The network helps show where Pavel Lyakhov may publish in the future.

Countries citing papers authored by Pavel Lyakhov

Since Specialization
Citations

This map shows the geographic impact of Pavel Lyakhov'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 Pavel Lyakhov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavel Lyakhov 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