V. I. Egorov

463 total citations
52 papers, 283 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 283 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 United States. V. I. Egorov's co-authors include S. A. Kozlov, Robert J. Collins, Yuli V. Nazarov, Gerald S. Buller, Anqi Huang, Vadim Makarov, Alexei D. Kiselev, А. И. Сидоров, 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

45 papers receiving 269 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
V. I. Egorov Russia 9 208 177 90 16 11 52 283
Akram Youssry Australia 8 181 0.9× 161 0.9× 88 1.0× 17 1.1× 21 1.9× 16 291
Jino Heo South Korea 15 461 2.2× 374 2.1× 45 0.5× 13 0.8× 10 0.9× 37 481
Mujtaba Zahidy Denmark 7 123 0.6× 127 0.7× 50 0.6× 11 0.7× 7 0.6× 19 175
Geraldo A. Barbosa United States 10 273 1.3× 200 1.1× 131 1.5× 23 1.4× 19 1.7× 17 353
Patrick M. Birchall United Kingdom 7 311 1.5× 210 1.2× 83 0.9× 24 1.5× 11 1.0× 11 381
Andrea Stanco Italy 10 224 1.1× 208 1.2× 56 0.6× 17 1.1× 11 1.0× 20 291
James Webb Australia 8 177 0.9× 173 1.0× 64 0.7× 8 0.5× 5 0.5× 16 280
Olivia Chen Japan 10 94 0.5× 123 0.7× 174 1.9× 22 1.4× 15 1.4× 37 258
Raju Valivarthi United States 10 344 1.7× 303 1.7× 120 1.3× 25 1.6× 9 0.8× 20 436
Stasja Stanisic United Kingdom 5 303 1.5× 246 1.4× 129 1.4× 9 0.6× 16 1.5× 7 372

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

20 of 20 papers shown
1.
Egorov, V. I., et al.. (2025). Laser powder bed fusion of AlSi10Mg with increased layer thickness for higher building rate. International Journal of Lightweight Materials and Manufacture. 9(1). 37–46.
2.
Utyaganova, V. R., В. О. Семин, Н. Л. Савченко, et al.. (2025). The effect of heat treatment of a biodegradable magnesium-based alloy produced by additive manufacturing on the product performance. Materials Characterization. 229. 115457–115457.
3.
Egorov, V. I., et al.. (2024). Hybrid quantum communication protocol for fiber and atmosphere channel. Nanosystems Physics Chemistry Mathematics. 15(5). 654–657. 3 indexed citations
4.
Egorov, V. I., et al.. (2023). Impact of the polarization control system on continuous-variable quantum key distribution system parameters. Journal of Optical Technology. 90(2). 55–55. 1 indexed citations
5.
Kiselev, Alexei D., et al.. (2023). Subcarrier wave continuous-variable quantum key distribution with Gaussian modulation: composable security analysis. Computer Optics. 47(3). 3 indexed citations
6.
7.
Kiselev, Alexei D., et al.. (2023). Quantum repeaters and teleportation via entangled phase-modulated multimode coherent states. Physical Review Applied. 20(4). 5 indexed citations
8.
Egorov, V. I., et al.. (2023). Measurement-device-independent continuous variable quantum key distribution protocol operation in optical transport networks. Nanosystems Physics Chemistry Mathematics. 14(3). 342–348. 1 indexed citations
9.
Egorov, V. I., et al.. (2022). Protecting Fiber-Optic Quantum Key Distribution Sources against Light-Injection Attacks. PRX Quantum. 3(4). 29 indexed citations
10.
Egorov, V. I., et al.. (2021). A theoretical study of subcarrier-wave quantum key distribution system integration with an optical transport network utilizing dense wavelength division multiplexing. Journal of Physics B Atomic Molecular and Optical Physics. 54(13). 135502–135502. 2 indexed citations
11.
Egorov, V. I., et al.. (2020). Subcarrier wave continuous variable quantum key distribution with discrete modulation: mathematical model and finite-key analysis. Scientific Reports. 10(1). 10034–10034. 23 indexed citations
12.
Egorov, V. I., et al.. (2020). Vacuum-based quantum random number generator using multi-mode coherent states. Quantum Information Processing. 19(9). 6 indexed citations
13.
Egorov, V. I., et al.. (2017). Formation of silver nanoparticles with dielectric shell on the silver-containing glass during laser evaporation and ablation. Russian Journal of Physical Chemistry B. 11(1). 87–88. 1 indexed citations
14.
Egorov, V. I., et al.. (2016). Revealing beam-splitting attack in a quantum cryptography system with a photon-number-resolving detector. Journal of the Optical Society of America B. 33(7). 1451–1451. 3 indexed citations
15.
Nazarov, Yuli V., et al.. (2015). Subcarrier Wave Quantum Key Distribution in Telecommunication Network with Bitrate 800 kbit/s. SHILAP Revista de lepidopterología. 103. 10005–10005.
16.
Miroshnichenko, G. P., et al.. (2014). How scatter of the experimental parameters affects the statistical characteristics of a quantum random-number generator. Journal of Optical Technology. 81(8). 427–427. 1 indexed citations
17.
Egorov, V. I., et al.. (2014). Detection of beamsplitting attack in a quantum cryptographic channel based on photon number statistics monitoring. Journal of Physics Conference Series. 541. 12062–12062. 3 indexed citations
18.
Egorov, V. I., et al.. (2013). Analysis of a sidebands-based quantum cryptography system with different detector types. Nanosystems Physics Chemistry Mathematics. 4(2). 4 indexed citations
19.
Egorov, V. I., et al.. (2013). Investigation of quantum random number generation based on space-time division of photons. Nanosystems Physics Chemistry Mathematics. 4(4). 3 indexed citations
20.
Egorov, V. I., et al.. (2013). The effect of temperature on the luminescence of molecular clusters of silver in photothermorefractive glasses. Journal of Optical Technology. 80(8). 506–506. 1 indexed citations

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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