Evgeniya Ustinova

About

Evgeniya Ustinova is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Evgeniya Ustinova has authored 5 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Biomedical Engineering. Recurrent topics in Evgeniya Ustinova’s work include Domain Adaptation and Few-Shot Learning (3 papers), Face recognition and analysis (2 papers) and Human Pose and Action Recognition (2 papers). Evgeniya Ustinova is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Face recognition and analysis (2 papers) and Human Pose and Action Recognition (2 papers). Evgeniya Ustinova collaborates with scholars based in Russia, United States and Canada. Evgeniya Ustinova's co-authors include Victor Lempitsky, Yaroslav Ganin, Hugo Larochelle, François Laviolette, Mario Marchand, Pascal Germain, Valentin Khrulkov, Leyla Mirvakhabova and Ivan Oseledets and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), HAL (Le Centre pour la Communication Scientifique Directe) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Evgeniya Ustinova i

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Fields of papers citing papers by Evgeniya Ustinova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Evgeniya Ustinova

Since Specialization

Citations

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