Arsenii Ashukha

7 papers and 373 indexed citations i.

About

Arsenii Ashukha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Arsenii Ashukha has authored 7 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Arsenii Ashukha’s work include Adversarial Robustness in Machine Learning (4 papers), Advanced Neural Network Applications (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Arsenii Ashukha is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Advanced Neural Network Applications (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Arsenii Ashukha collaborates with scholars based in Russia, United States and South Korea. Arsenii Ashukha's co-authors include Roman Suvorov, Naejin Kong, Victor Lempitsky, Elizaveta Logacheva, Dmitry Molchanov, Dmitry Vetrov and Max Welling and has published in prestigious journals such as Neural Information Processing Systems, International Conference on Learning Representations and Uncertainty in Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Arsenii Ashukha i

Fields of papers citing papers by Arsenii Ashukha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arsenii Ashukha

Since Specialization
Citations

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