Aleksandr Petiushko

7 papers and 175 indexed citations i.

About

Aleksandr Petiushko is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Aleksandr Petiushko has authored 7 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Aleksandr Petiushko’s work include Adversarial Robustness in Machine Learning (3 papers), Advanced Malware Detection Techniques (2 papers) and Human Pose and Action Recognition (2 papers). Aleksandr Petiushko is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Advanced Malware Detection Techniques (2 papers) and Human Pose and Action Recognition (2 papers). Aleksandr Petiushko collaborates with scholars based in Russia, China and Tajikistan. Aleksandr Petiushko's co-authors include Ivan Oseledets and Bo Li and has published in prestigious journals such as Computer Optics, Proceedings of the AAAI Conference on Artificial Intelligence and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Co-authorship network of co-authors of Aleksandr Petiushko i

Fields of papers citing papers by Aleksandr Petiushko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aleksandr Petiushko

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025