Dmitry A. Bykov

2.9k total citations
131 papers, 2.1k citations indexed

About

Dmitry A. Bykov is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Surfaces, Coatings and Films. According to data from OpenAlex, Dmitry A. Bykov has authored 131 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Atomic and Molecular Physics, and Optics, 87 papers in Electrical and Electronic Engineering and 81 papers in Surfaces, Coatings and Films. Recurrent topics in Dmitry A. Bykov's work include Optical Coatings and Gratings (81 papers), Photonic and Optical Devices (77 papers) and Photonic Crystals and Applications (69 papers). Dmitry A. Bykov is often cited by papers focused on Optical Coatings and Gratings (81 papers), Photonic and Optical Devices (77 papers) and Photonic Crystals and Applications (69 papers). Dmitry A. Bykov collaborates with scholars based in Russia, United States and India. Dmitry A. Bykov's co-authors include Leonid L. Doskolovich, Evgeni A. Bezus, В. А. Сойфер, А. К. Звездин, V. I. Belotelov, A. N. Kalish, Nikolay L. Kazanskiy, Vladimir Oliker, Vladimir Podlipnov and Venu Gopal Achanta and has published in prestigious journals such as Nature Communications, Physical Review B and Physical Review A.

In The Last Decade

Dmitry A. Bykov

120 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dmitry A. Bykov Russia 26 1.3k 1.2k 1.1k 659 364 131 2.1k
Evgeni A. Bezus Russia 25 962 0.7× 848 0.7× 970 0.9× 566 0.9× 240 0.7× 118 1.7k
Jorge Bravo‐Abad Spain 26 1.6k 1.2× 1.3k 1.0× 1.4k 1.3× 331 0.5× 842 2.3× 62 2.6k
С. В. Карпеев Russia 26 1.5k 1.1× 519 0.4× 1.2k 1.1× 294 0.4× 169 0.5× 164 2.1k
Avi Niv Israel 24 2.0k 1.5× 613 0.5× 1.3k 1.2× 197 0.3× 1.3k 3.5× 57 2.8k
Víctor Arrizón Mexico 23 1.9k 1.4× 532 0.4× 907 0.8× 133 0.2× 392 1.1× 84 2.2k
Kaiyu Cui China 23 1.0k 0.8× 970 0.8× 640 0.6× 85 0.1× 398 1.1× 127 1.8k
Paul McManamon United States 18 709 0.5× 1.1k 0.9× 375 0.3× 211 0.3× 430 1.2× 84 1.9k
Zhimin Shi United States 20 1.3k 1.0× 736 0.6× 619 0.6× 93 0.1× 341 0.9× 86 1.7k
Jürgen Jahns Germany 22 543 0.4× 1.0k 0.8× 501 0.5× 347 0.5× 112 0.3× 89 1.5k
Ting Lei China 23 1.8k 1.4× 927 0.7× 1.0k 0.9× 55 0.1× 716 2.0× 87 2.4k

Countries citing papers authored by Dmitry A. Bykov

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry A. Bykov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dmitry A. Bykov. 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 Dmitry A. Bykov. The network helps show where Dmitry A. Bykov may publish in the future.

Co-authorship network of co-authors of Dmitry A. Bykov

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry A. Bykov. A scholar is included among the top collaborators of Dmitry A. Bykov 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 Dmitry A. Bykov. Dmitry A. Bykov 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.
Doskolovich, Leonid L., et al.. (2025). Supporting quadric method for designing diffractive optical elements in the scalar diffraction theory framework. Optics Express. 33(10). 21605–21605.
2.
Doskolovich, Leonid L., et al.. (2025). Designing robust diffractive neural networks with improved transverse shift tolerance. Journal of the Optical Society of America A. 42(6). 699–699.
3.
Bykov, Dmitry A., Evgeni A. Bezus, & Leonid L. Doskolovich. (2024). Spatiotemporal coupled-mode theory for Fabry-Pérot resonators and its application to linear variable filters. Physical review. A. 110(2).
4.
Doskolovich, Leonid L., et al.. (2024). Design of Diffractive Neural Networks for Solving Different Classification Problems at Different Wavelengths. Photonics. 11(8). 780–780. 4 indexed citations
5.
Doskolovich, Leonid L., et al.. (2024). Design of cascaded diffractive optical elements generating different intensity distributions at several operating wavelengths. Optik. 320. 172140–172140. 1 indexed citations
6.
Doskolovich, Leonid L., et al.. (2024). On-chip spatiotemporal optical vortex generation using an integrated metal–dielectric resonator. Optics & Laser Technology. 174. 110584–110584.
7.
Doskolovich, Leonid L., et al.. (2024). Design of Cascaded DOEs for Focusing Different Wavelengths to Different Points. Photonics. 11(9). 791–791. 3 indexed citations
8.
Bykov, Dmitry A., Evgeni A. Bezus, & Leonid L. Doskolovich. (2023). From coupled plane waves to the coupled-mode theory of guided-mode resonant gratings. Photonics and Nanostructures - Fundamentals and Applications. 56. 101167–101167. 2 indexed citations
9.
Burakov, Anton V., Ilya M. Terenin, Dmitry A. Bykov, et al.. (2023). A Solitary Stalled 80S Ribosome Prevents mRNA Recruitment to Stress Granules. Biochemistry (Moscow). 88(11). 1786–1799. 6 indexed citations
10.
Burakov, Anton V., et al.. (2023). A solitary stalled 80S ribosome prevents mRNA recruitment to stress granules. 88(11). 2166–2182. 3 indexed citations
11.
Doskolovich, Leonid L., et al.. (2023). Optical computation of the Laplace operator at oblique incidence using a multilayer metal-dielectric structure. Optics Express. 31(10). 17050–17050. 5 indexed citations
12.
Bezus, Evgeni A., et al.. (2023). Plasmonic Generation of Spatiotemporal Optical Vortices. Photonics. 10(2). 109–109. 9 indexed citations
13.
Bykov, Dmitry A., et al.. (2023). Lines of Quasi-BICs and Butterworth Line Shape in Stacked Resonant Gratings: Analytical Description. Photonics. 10(4). 363–363. 1 indexed citations
14.
Doskolovich, Leonid L., et al.. (2023). Design of Cascaded Diffractive Optical Elements for Optical Beam Shaping and Image Classification Using a Gradient Method. Photonics. 10(7). 766–766. 10 indexed citations
15.
Doskolovich, Leonid L., et al.. (2022). Supporting Quadric Method for Designing Freeform Mirrors That Generate Prescribed Near-Field Irradiance Distributions. Photonics. 9(2). 118–118. 3 indexed citations
16.
Bykov, Dmitry A., Evgeni A. Bezus, А.А. Morozov, Vladimir Podlipnov, & Leonid L. Doskolovich. (2022). Optical properties of guided-mode resonant gratings with linearly varying period. Physical review. A. 106(5). 15 indexed citations
17.
18.
Doskolovich, Leonid L., et al.. (2022). Spatiotemporal optical differentiation and vortex generation with metal-dielectric-metal multilayers. Physical review. A. 106(3). 17 indexed citations
19.
Doskolovich, Leonid L., et al.. (2021). Spatial differentiation of optical beams using a resonant metal-dielectric-metal structure. Journal of Optics. 23(2). 23501–23501. 14 indexed citations
20.
Bykov, Dmitry A., et al.. (2020). Design and fabrication of a freeform mirror generating a uniform illuminance distribution in a rectangular region. Computer Optics. 44(4). 5 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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