Dmitry S. Bykov

472 citations
21 papers · 296 · h-index 9

Impact in

Papers in

Dmitry S. Bykov

19 papers receiving 287 citations

Peers

Dmitry S. Bykov
Comparison fields: 5 of 28
  • Atomic and Molecular Physics, and Optics 234
  • Electrical and Electronic Engineering 135
  • Biomedical Engineering 67
  • Artificial Intelligence 38
  • Statistical and Nonlinear Physics 14
Replace Karen E. Grutter with:
Karen E. Grutter United States
Clément Javerzac‐Galy Switzerland
Stéphane Trebaol France
Jesse J. Slim Netherlands
Arkadev Roy United States
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Liao Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Dmitry S. Bykov

Since Specialization
Citations

This map shows the geographic impact of Dmitry S. 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 S. 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 S. Bykov more than expected).

Fields of papers citing papers by Dmitry S. Bykov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dmitry S. Bykov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dmitry S. Bykov Line = papers co-authored together Dmitry S. Bykov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201592
2 201940
3 202131
4 202424
5 201621
6 202316
7 202214
8 202413
9 202212
10 20217
11 20206
12 20245
13 20254
14 20153
15 20162
16 20192
17 20162
18 20241
19 20171
20
Optomechanical self-stabilization and hysteresis of a free-standing silica nanospike inside a hollow-core photonic crystal fibre
20150

About Dmitry S. Bykov

Dmitry S. Bykov is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Biomedical Engineering, Artificial Intelligence and Infectious Diseases, having authored 21 papers that have together received 296 indexed citations. Recurring topics across this work include Mechanical and Optical Resonators (14 papers), Orbital Angular Momentum in Optics (10 papers), Advanced Fiber Optic Sensors (6 papers), Advanced Fiber Laser Technologies (5 papers), Photonic Crystal and Fiber Optics (4 papers), Photonic and Optical Devices (4 papers), Cold Atom Physics and Bose-Einstein Condensates (3 papers) and Quantum Information and Cryptography (3 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (234 citations), Electrical and Electronic Engineering (135 citations), Biomedical Engineering (67 citations), Artificial Intelligence (38 citations) and Statistical and Nonlinear Physics (14 citations). Dmitry S. Bykov has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Tracy E. Northup, T. G. Euser, P. St. J. Russell, O. Schmidt, Pau Mestres, Richard Zeltner, Shangran Xie, G. Cerchiari, E. Bonvin and Lukáš Novotný. Their work appears in journals such as Physical Review Letters, Applied Physics Letters, Physical Review Research, Laser Physics and Nature Photonics.

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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