Eugene Belilovsky

14 papers and 224 indexed citations i.

About

Eugene Belilovsky is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Eugene Belilovsky has authored 14 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Eugene Belilovsky’s work include Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Neural Network Applications (3 papers). Eugene Belilovsky is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (5 papers) and Advanced Neural Network Applications (3 papers). Eugene Belilovsky collaborates with scholars based in Canada, France and United States. Eugene Belilovsky's co-authors include Rahaf Aljundi, Laurent Charlin, M. Caccia, Min Lin, Tinne Tuytelaars, Matthew B. Blaschko, Nikos Komodakis, Simon Lacoste-Julien, Edouard Oyallon and Sergey Zagoruyko and has published in prestigious journals such as Cell, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Eugene Belilovsky i

Fields of papers citing papers by Eugene Belilovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eugene Belilovsky

Since Specialization
Citations

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