A. A. Umnikov

1.9k total citations
82 papers, 1.5k citations indexed

About

A. A. Umnikov is a scholar working on Electrical and Electronic Engineering, Ceramics and Composites and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, A. A. Umnikov has authored 82 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Electrical and Electronic Engineering, 36 papers in Ceramics and Composites and 28 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in A. A. Umnikov's work include Photonic Crystal and Fiber Optics (72 papers), Glass properties and applications (36 papers) and Advanced Fiber Optic Sensors (33 papers). A. A. Umnikov is often cited by papers focused on Photonic Crystal and Fiber Optics (72 papers), Glass properties and applications (36 papers) and Advanced Fiber Optic Sensors (33 papers). A. A. Umnikov collaborates with scholars based in Russia, United Kingdom and China. A. A. Umnikov's co-authors include J. K. Sahu, A. N. Guryanov, V.V. Dvoyrin, V.M. Mashinsky, Naresh Kumar Thipparapu, Mikhail V. Yashkov, Evgenii M Dianov, P. Barua, Yu Wang and E. M. Dianov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics Letters and Optics Express.

In The Last Decade

A. A. Umnikov

76 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. A. Umnikov Russia 20 1.2k 712 461 352 39 82 1.5k
A. N. Guryanov Russia 19 1.1k 0.9× 602 0.8× 593 1.3× 306 0.9× 33 0.8× 68 1.4k
Mikhail V. Yashkov Russia 23 1.1k 0.9× 581 0.8× 632 1.4× 292 0.8× 31 0.8× 75 1.3k
S. E. Sverchkov Russia 19 1.0k 0.8× 630 0.9× 560 1.2× 607 1.7× 49 1.3× 116 1.3k
Jan Dorosz Poland 19 738 0.6× 635 0.9× 215 0.5× 703 2.0× 17 0.4× 127 1.1k
T. Uematsu Japan 12 810 0.7× 391 0.5× 489 1.1× 620 1.8× 10 0.3× 21 997
Shyamal K. Bhadra India 21 1.3k 1.0× 239 0.3× 843 1.8× 177 0.5× 17 0.4× 146 1.5k
Shaoxiong Shen United Kingdom 18 1.1k 0.9× 892 1.3× 418 0.9× 796 2.3× 7 0.2× 32 1.4k
Masaki Tokurakawa Japan 21 1.0k 0.8× 173 0.2× 830 1.8× 257 0.7× 22 0.6× 54 1.2k
E. Mix Germany 11 585 0.5× 192 0.3× 360 0.8× 413 1.2× 12 0.3× 23 717
Leopoldo L. Martín Spain 17 592 0.5× 168 0.2× 439 1.0× 433 1.2× 21 0.5× 45 850

Countries citing papers authored by A. A. Umnikov

Since Specialization
Citations

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

Fields of papers citing papers by A. A. Umnikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. A. Umnikov

This figure shows the co-authorship network connecting the top 25 collaborators of A. A. Umnikov. A scholar is included among the top collaborators of A. A. Umnikov 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 A. A. Umnikov. A. A. Umnikov 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.
Kharakhordin, Alexander, Sergey Alyshev, A. A. Umnikov, et al.. (2025). Thermally induced transformation of “dark” precursors into laser-active centers: Hidden potential of bismuth-doped fibers. Optical Materials. 164. 117025–117025.
2.
Likhachev, Mikhail E., L. D. Iskhakova, Mikhail M. Bubnov, et al.. (2025). Highly Yb-doped silica-based fibers for ultra-short lasers and amplifiers. Optical Fiber Technology. 95. 104427–104427.
3.
Umnikov, A. A., Aleksandr Khegai, Sergey Alyshev, et al.. (2024). Watt-level cladding-pumped bismuth-doped fiber laser operating near 1.31 μm. Optics & Laser Technology. 180. 111526–111526. 2 indexed citations
4.
Alyshev, Sergey, Aleksandr Khegai, A. A. Umnikov, & Sergei Firstov. (2024). Bismuth-Doped Fiber Lasers and Amplifiers Operating from O- to U-Band: Current State of the Art and Outlook. Photonics. 11(7). 663–663. 4 indexed citations
5.
Umnikov, A. A., Aleksandr Khegai, Konstantin Riumkin, et al.. (2024). Ultra-Wideband Amplification in Telecom Bands With Bi-Doped Multi-Layered Glass Fibers. Journal of Lightwave Technology. 43(5). 2291–2297. 2 indexed citations
6.
Rybaltovsky, A. A., et al.. (2023). Optimization of the Core Compound for Ytterbium Ultra-Short Cavity Fiber Lasers. Fibers. 11(6). 52–52. 4 indexed citations
7.
Kosolapov, A. F., et al.. (2023). Extra-High Pressure in the Core of Silica-Based Optical Fiber Preforms during the Manufacturing Process. Photonics. 10(3). 335–335. 4 indexed citations
8.
Lipatov, Denis S., O. N. Egorova, A. A. Rybaltovsky, et al.. (2023). Highly Er/Yb-Co-Doped Photosensitive Core Fiber for the Development of Single-Frequency Telecom Lasers. Photonics. 10(7). 796–796. 3 indexed citations
9.
Lau, K. Y., Sergei Firstov, Zhi‐Chao Luo, et al.. (2023). 1450 nm High Energy Noisy Multi-Pulse Mode-Locking in Bismuth-Doped Fiber Laser. Journal of Lightwave Technology. 42(6). 2103–2110. 4 indexed citations
10.
Kharakhordin, Alexander, A. A. Rybaltovsky, Sergey Alyshev, et al.. (2023). Random Laser Operating at Near 1.67 µM Based on Bismuth-Doped Artificial Rayleigh Fiber. Journal of Lightwave Technology. 41(19). 6362–6368. 6 indexed citations
11.
Rybaltovsky, A. A., Svetlana S. Aleshkina, Vladimir V. Velmiskin, et al.. (2023). An Ytterbium-Doped Narrow-Bandwidth Randomly Distributed Feedback Laser Emitting at a Wavelength of 976 nm. Photonics. 10(8). 951–951. 2 indexed citations
12.
13.
Rybaltovsky, A. A., et al.. (2021). Photosensitive Yb-Doped Germanophosphosilicate Artificial Rayleigh Fibers as a Base of Random Lasers. Fibers. 9(9). 53–53. 4 indexed citations
14.
Hong, Yang, Hesham Sakr, Natsupa Taengnoi, et al.. (2020). Multi-Band Direct-Detection Transmission Over an Ultrawide Bandwidth Hollow-Core NANF. Journal of Lightwave Technology. 38(10). 2849–2857. 27 indexed citations
15.
Rybaltovsky, A. A., et al.. (2020). Photobleaching of UV-induced defects in Er/Al-doped glasses for fiber lasers. Optical Materials Express. 10(10). 2669–2669. 5 indexed citations
16.
Rybaltovsky, A. A., Denis S. Lipatov, Alexey Lobanov, et al.. (2020). Photosensitive highly Er/Yb co-doped phosphosilicate optical fibers for continuous-wave single-frequency fiber laser applications. Journal of the Optical Society of America B. 37(10). 3077–3077. 8 indexed citations
17.
Hong, Yang, Kyle R. H. Bottrill, Natsupa Taengnoi, et al.. (2020). Experimental Demonstration of Dual O+C-Band WDM Transmission Over 50-km SSMF With Direct Detection. Journal of Lightwave Technology. 38(8). 2278–2284. 23 indexed citations
18.
Umnikov, A. A., et al.. (2019). Highly efficient thulium-doped high-power laser fibers fabricated by MCVD. Optics Express. 27(1). 196–196. 39 indexed citations
19.
Dvoyrin, V.V., et al.. (2008). Absorption and scattering in bismuth-doped optical fibers. Bulletin of the Russian Academy of Sciences Physics. 72(1). 98–102. 4 indexed citations
20.
Dvoyrin, V.V., et al.. (2008). Absorption and scattering in bismuth-doped optical fibers. Bulletin of the Russian Academy of Sciences Physics. 72(1). 98–102. 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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