Valentine Kabanets

88 total papers · 1.6k total citations
51 papers, 740 citations indexed

About

Valentine Kabanets is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Valentine Kabanets has authored 51 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computational Theory and Mathematics, 43 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Valentine Kabanets's work include Complexity and Algorithms in Graphs (45 papers), Cryptography and Data Security (24 papers) and Machine Learning and Algorithms (21 papers). Valentine Kabanets is often cited by papers focused on Complexity and Algorithms in Graphs (45 papers), Cryptography and Data Security (24 papers) and Machine Learning and Algorithms (21 papers). Valentine Kabanets collaborates with scholars based in Canada, United States and Israel. Valentine Kabanets's co-authors include Russell Impagliazzo, Avi Wigderson, Ragesh Jaiswal, Ruiwen Chen, Marco Carmosino, Ronen Shaltiel, Ramamohan Paturi, Eric Allender, David Zuckerman and Rahul Santhanam and has published in prestigious journals such as SIAM Journal on Computing, Theoretical Computer Science and Journal of Computer and System Sciences.

In The Last Decade

Valentine Kabanets

46 papers receiving 643 citations

Author Peers

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

Author						Papers	Cites
Valentine Kabanets	658	515	103	66	34	51	740
Emanuele Viola	515 0.8×	448 0.9×	115 1.1×	67 1.0×	32 0.9×	78	657
Seinosuke Toda	635 1.0×	514 1.0×	136 1.3×	31 0.5×	73 2.1×	35	844
Heribert Vollmer	655 1.0×	487 0.9×	199 1.9×	88 1.3×	16 0.5×	89	858
Ronen Shaltiel	534 0.8×	533 1.0×	81 0.8×	95 1.4×	26 0.8×	56	697
Amir Yehudayoff	510 0.8×	408 0.8×	89 0.9×	73 1.1×	49 1.4×	87	752
György Turán	450 0.7×	528 1.0×	98 1.0×	84 1.3×	12 0.4×	54	740
Johannes Köbler	631 1.0×	465 0.9×	122 1.2×	42 0.6×	8 0.2×	59	847
Christopher Umans	538 0.8×	598 1.2×	147 1.4×	107 1.6×	15 0.4×	36	831
Alexander A. Sherstov	474 0.7×	508 1.0×	77 0.7×	99 1.5×	18 0.5×	55	627
Azaria Paz	348 0.5×	344 0.7×	68 0.7×	73 1.1×	42 1.2×	40	622

Countries citing papers authored by Valentine Kabanets

Since Specialization

Citations

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

Fields of papers citing papers by Valentine Kabanets

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentine Kabanets

This figure shows the co-authorship network connecting the top 25 collaborators of Valentine Kabanets. A scholar is included among the top collaborators of Valentine Kabanets 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 Valentine Kabanets. Valentine Kabanets 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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