Ilia Shumailov

14 papers and 194 indexed citations i.

About

Ilia Shumailov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ilia Shumailov has authored 14 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Ilia Shumailov’s work include Adversarial Robustness in Machine Learning (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Ilia Shumailov is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Ilia Shumailov collaborates with scholars based in United Kingdom, Canada and United States. Ilia Shumailov's co-authors include Nicolas Papernot, Ross Anderson, Zakhar Shumaylov, Yarin Gal, Yiren Zhao, Adam Dziedzic, Robert Mullins, Ali Shahin Shamsabadi, Roei Schuster and Hatice Güneş and has published in prestigious journals such as Nature, Apollo (University of Cambridge) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Ilia Shumailov i

Fields of papers citing papers by Ilia Shumailov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ilia Shumailov

Since Specialization
Citations

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