V. I. Egorov

77 total papers · 456 total citations
52 papers, 275 citations indexed

About

V. I. Egorov is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, V. I. Egorov has authored 52 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 25 papers in Atomic and Molecular Physics, and Optics and 18 papers in Electrical and Electronic Engineering. Recurrent topics in V. I. Egorov's work include Quantum Information and Cryptography (37 papers), Quantum Computing Algorithms and Architecture (16 papers) and Quantum Mechanics and Applications (15 papers). V. I. Egorov is often cited by papers focused on Quantum Information and Cryptography (37 papers), Quantum Computing Algorithms and Architecture (16 papers) and Quantum Mechanics and Applications (15 papers). V. I. Egorov collaborates with scholars based in Russia, United Kingdom and China. V. I. Egorov's co-authors include S. A. Kozlov, Yuli V. Nazarov, Robert J. Collins, Gerald S. Buller, Anqi Huang, Vadim Makarov, А. И. Сидоров, Alexei D. Kiselev, В. Н. Васильев and M. A. Smirnov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Optics Express.

In The Last Decade

V. I. Egorov

43 papers receiving 261 citations

Author Peers

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

Author Last Decade Papers Cites
V. I. Egorov 202 172 90 16 11 52 275
Futian Liang 164 0.8× 162 0.9× 69 0.8× 9 0.6× 15 1.4× 41 275
G. P. Miroshnichenko 129 0.6× 177 1.0× 109 1.2× 27 1.7× 3 0.3× 44 277
Werner G. Teich 108 0.5× 92 0.5× 157 1.7× 17 1.1× 25 2.3× 47 299
Gayane Vardoyan 203 1.0× 138 0.8× 37 0.4× 18 1.1× 8 0.7× 34 297
Shi-Biao Tang 249 1.2× 185 1.1× 62 0.7× 18 1.1× 17 1.5× 33 329
Olivia Chen 100 0.5× 123 0.7× 174 1.9× 22 1.4× 17 1.5× 38 264
Marc Jofre 147 0.7× 175 1.0× 89 1.0× 52 3.3× 7 0.6× 24 298
Marco Avesani 259 1.3× 244 1.4× 48 0.5× 14 0.9× 16 1.5× 26 320
Poolad Imany 207 1.0× 227 1.3× 120 1.3× 20 1.3× 14 1.3× 24 307
Brian T. Kirby 182 0.9× 169 1.0× 34 0.4× 16 1.0× 6 0.5× 44 247

Countries citing papers authored by V. I. Egorov

Since Specialization
Citations

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

Fields of papers citing papers by V. I. Egorov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. I. Egorov. 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 V. I. Egorov. The network helps show where V. I. Egorov may publish in the future.

Co-authorship network of co-authors of V. I. Egorov

This figure shows the co-authorship network connecting the top 25 collaborators of V. I. Egorov. A scholar is included among the top collaborators of V. I. Egorov 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 V. I. Egorov. V. I. Egorov 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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2026