Taras Khakhulin

About

Taras Khakhulin is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence. According to data from OpenAlex, Taras Khakhulin has authored 8 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Computer Graphics and Computer-Aided Design and 2 papers in Artificial Intelligence. Recurrent topics in Taras Khakhulin’s work include Advanced Vision and Imaging (5 papers), Computer Graphics and Visualization Techniques (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Taras Khakhulin is often cited by papers focused on Advanced Vision and Imaging (5 papers), Computer Graphics and Visualization Techniques (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Taras Khakhulin collaborates with scholars based in Russia, Germany and Armenia. Taras Khakhulin's co-authors include Victor Lempitsky, Martin Rünz, Lourdes Agapito, Matthias Nießner, J. Starck, Aleksei Ivakhnenko, Egor Zakharov, Sergey Nikolenko, Ivan Oseledets and Varvara Logacheva and has published in prestigious journals such as ACM Transactions on Graphics, Physical review. A and Journal of Mathematical Sciences.

In The Last Decade

Co-authorship network of co-authors of Taras Khakhulin i

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Fields of papers citing papers by Taras Khakhulin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Taras Khakhulin

Since Specialization

Citations

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