Ilya Razenshteyn

74 total papers · 2.0k total citations
25 papers, 466 citations indexed

About

Ilya Razenshteyn is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ilya Razenshteyn has authored 25 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Ilya Razenshteyn's work include Advanced Image and Video Retrieval Techniques (12 papers), Robotics and Sensor-Based Localization (6 papers) and Machine Learning and Algorithms (5 papers). Ilya Razenshteyn is often cited by papers focused on Advanced Image and Video Retrieval Techniques (12 papers), Robotics and Sensor-Based Localization (6 papers) and Machine Learning and Algorithms (5 papers). Ilya Razenshteyn collaborates with scholars based in United States, Canada and Russia. Ilya Razenshteyn's co-authors include Alexandr Andoni, Piotr Indyk, Thijs Laarhoven, Ludwig Schmidt, Daniel Delling, Andrew V. Goldberg, Renato F. Werneck, Yury Makarychev, Konstantin Makarychev and Sébastien Bubeck and has published in prestigious journals such as Mathematical Programming, SIAM Journal on Computing and Discrete Mathematics Algorithms and Applications.

In The Last Decade

Ilya Razenshteyn

25 papers receiving 432 citations

Author Peers

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

Author Last Decade Papers Cites
Ilya Razenshteyn 253 213 100 100 61 25 466
A.R. Butz 135 0.5× 98 0.5× 77 0.8× 86 0.9× 86 1.4× 20 423
Mary Inaba 133 0.5× 193 0.9× 215 2.1× 101 1.0× 30 0.5× 28 528
J.G. Dunham 324 1.3× 132 0.6× 110 1.1× 85 0.8× 36 0.6× 28 518
Jiaming Liu 254 1.0× 94 0.4× 73 0.7× 110 1.1× 32 0.5× 37 503
D. T. Lee 172 0.7× 227 1.1× 79 0.8× 53 0.5× 29 0.5× 29 485
Bernard Dimsdale 337 1.3× 182 0.9× 36 0.4× 142 1.4× 52 0.9× 18 518
Stephen R. Tate 137 0.5× 172 0.8× 169 1.7× 32 0.3× 95 1.6× 34 416
Jie Zhou 239 0.9× 224 1.1× 31 0.3× 60 0.6× 57 0.9× 27 500
D.E. Van den Bout 122 0.5× 316 1.5× 98 1.0× 45 0.5× 37 0.6× 23 552
F. Frances Yao 96 0.4× 154 0.7× 114 1.1× 65 0.7× 144 2.4× 16 460

Countries citing papers authored by Ilya Razenshteyn

Since Specialization
Citations

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

Fields of papers citing papers by Ilya Razenshteyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilya Razenshteyn

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