Grigory Antipov

About

Grigory Antipov is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Grigory Antipov has authored 8 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Grigory Antipov’s work include Face recognition and analysis (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Grigory Antipov is often cited by papers focused on Face recognition and analysis (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Grigory Antipov collaborates with scholars based in France, Russia and Switzerland. Grigory Antipov's co-authors include Jean‐Luc Dugelay, Moez Baccouche, Sid-Ahmed Berrani, Christian Wolf, Romain Vuillemot, Pavel Korshunov and Touradj Ebrahimi and has published in prestigious journals such as Pattern Recognition, Pattern Recognition Letters and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Co-authorship network of co-authors of Grigory Antipov i

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Fields of papers citing papers by Grigory Antipov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Grigory Antipov

Since Specialization

Citations

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