Taras Khakhulin

25 total papers · 501 total citations
9 papers, 217 citations indexed

About

Taras Khakhulin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Taras Khakhulin has authored 9 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Taras Khakhulin's work include Advanced Vision and Imaging (4 papers), Natural Language Processing Techniques (3 papers) and Advanced Text Analysis Techniques (3 papers). Taras Khakhulin is often cited by papers focused on Advanced Vision and Imaging (4 papers), Natural Language Processing Techniques (3 papers) and Advanced Text Analysis Techniques (3 papers). Taras Khakhulin collaborates with scholars based in Russia, Armenia and United Kingdom. Taras Khakhulin's co-authors include Martin Rünz, Lourdes Agapito, J. Starck, Matthias Nießner, Victor Lempitsky, Egor Zakharov, Valentin Malykh, Varvara Logacheva, Alexey Sorokin and А. В. Селиверстов and has published in prestigious journals such as ACM Transactions on Graphics, Physical review. A and Journal of Mathematical Sciences.

In The Last Decade

Taras Khakhulin

8 papers receiving 200 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Taras Khakhulin	109	80	56	55	19	9	217
Haoye Dong	266 2.4×	26 0.3×	121 2.2×	68 1.2×	16 0.8×	16	313
Daiheng Gao	170 1.6×	47 0.6×	19 0.3×	20 0.4×	11 0.6×	12	196
Jay Zhangjie Wu	191 1.8×	40 0.5×	15 0.3×	48 0.9×	31 1.6×	8	230
Chuhui Xue	233 2.1×	55 0.7×	29 0.5×	27 0.5×	8 0.4×	10	271
Samaneh Azadi	131 1.2×	59 0.7×	32 0.6×	22 0.4×	20 1.1×	11	200
Tobias Kirschstein	94 0.9×	36 0.5×	64 1.1×	41 0.7×	30 1.6×	8	171
WILLIAM F. WHITNEY	238 2.2×	78 1.0×	46 0.8×	47 0.9×	16 0.8×	7	303
Songwei Ge	138 1.3×	73 0.9×	16 0.3×	27 0.5×	18 0.9×	13	217
Stan Weixian Lei	200 1.8×	63 0.8×	12 0.2×	42 0.8×	27 1.4×	5	240
Haozhi Huang	230 2.1×	27 0.3×	37 0.7×	44 0.8×	12 0.6×	15	270

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).

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.

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

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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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