Taras Khakhulin
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Computational Mechanics
- Computer Graphics and Computer-Aided Design top 5%
- Control and Systems Engineering
- Co-authors
- Martin RünzJ. StarckMatthias NießnerLourdes AgapitoVictor LempitskyValentin MalykhEgor ZakharovVarvara Logacheva
- Topics
- Advanced Vision and Imaging (4 papers)Topic Modeling (3 papers)Advanced Text Analysis Techniques (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mathematics
- Journals
- ACM Transactions on GraphicsPhysical review. AJournal of Mathematical Sciences
- Partner nations
- RussiaGermanyUnited Kingdom
In The Last Decade
Taras Khakhulin
8 papers receiving 202 citations
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 114
- Artificial Intelligence 80
- Computational Mechanics 58
- Computer Graphics and Computer-Aided Design 56
- Control and Systems Engineering 19
Countries citing papers authored by Taras Khakhulin
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).
Fields of papers citing papers by Taras Khakhulin
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.
Co-authorship network of co-authors of Taras Khakhulin
This figure shows the co-authorship network connecting the top 25 collaborators of Taras Khakhulin. A scholar is included among the top collaborators of Taras Khakhulin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Taras Khakhulin. Taras Khakhulin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 73 | |
| 3 | 5 | |
| 4 | 44 | |
| 5 | 11 | |
| 6 | 9 | |
| 7 | 69 | |
| 8 | 7 | |
| 9 | 2 |
About Taras Khakhulin
Taras Khakhulin is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 9 papers that have together received 220 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Topic Modeling (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (56 citations), Computer Vision and Pattern Recognition (114 citations) and Computational Mathematics (3 citations). Taras Khakhulin has collaborated with scholars based in Russia, Germany and United Kingdom. Frequent co-authors include Martin Rünz, J. Starck, Matthias Nießner, Lourdes Agapito, Victor Lempitsky, Valentin Malykh, Egor Zakharov, Varvara Logacheva, Alexey Sorokin and Mikhail Burtsev. Their work appears in journals such as ACM Transactions on Graphics, Physical review. A and Journal of Mathematical Sciences.
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.