A. Sergeev

56.3k total citations · 1 hit paper
112 papers, 2.1k citations indexed

About

A. Sergeev is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, A. Sergeev has authored 112 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Electrical and Electronic Engineering, 35 papers in Atomic and Molecular Physics, and Optics and 30 papers in Biomedical Engineering. Recurrent topics in A. Sergeev's work include Laser-Matter Interactions and Applications (32 papers), Optical Coherence Tomography Applications (23 papers) and Laser-Plasma Interactions and Diagnostics (21 papers). A. Sergeev is often cited by papers focused on Laser-Matter Interactions and Applications (32 papers), Optical Coherence Tomography Applications (23 papers) and Laser-Plasma Interactions and Diagnostics (21 papers). A. Sergeev collaborates with scholars based in Russia, United States and Germany. A. Sergeev's co-authors include Felix I. Feldchtein, Valentin M. Gelikonov, Grigory V. Gelikonov, Natalia D. Gladkova, Roman V. Kuranov, G. Mourou, Е. А. Хазанов, Ludmila B. Snopova, Arkady Gonoskov and Sergey Mironov and has published in prestigious journals such as Physical Review Letters, International Journal of Molecular Sciences and Physical Review A.

In The Last Decade

A. Sergeev

100 papers receiving 2.0k citations

Hit Papers

Single cycle thin film compressor opening the door to Zep... 2014 2026 2018 2022 2014 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Sergeev Russia 19 939 762 584 348 277 112 2.1k
Akira Suda Japan 28 206 0.2× 1.7k 2.3× 559 1.0× 395 1.1× 772 2.8× 164 2.9k
Dennis L. Matthews United States 22 329 0.4× 1.1k 1.5× 466 0.8× 89 0.3× 293 1.1× 105 2.2k
Sarah E. Bohndiek United Kingdom 36 2.8k 3.0× 368 0.5× 179 0.3× 1.9k 5.4× 262 0.9× 156 4.9k
Seung‐Kyun Lee South Korea 28 370 0.4× 1.1k 1.4× 265 0.5× 1.0k 3.0× 363 1.3× 123 2.2k
A. Del Guerra Italy 35 922 1.0× 836 1.1× 865 1.5× 2.7k 7.9× 695 2.5× 344 4.9k
Dvir Yelin Israel 26 1.1k 1.2× 847 1.1× 41 0.1× 179 0.5× 312 1.1× 70 2.3k
Peter R. T. Munro United Kingdom 41 2.4k 2.5× 462 0.6× 154 0.3× 2.5k 7.2× 244 0.9× 184 4.8k
С. А. Кузнецов Russia 31 563 0.6× 617 0.8× 322 0.6× 138 0.4× 967 3.5× 264 3.5k
Michael Lerch Australia 35 610 0.6× 181 0.2× 228 0.4× 1.2k 3.6× 897 3.2× 286 4.2k
R. Schulte United States 34 357 0.4× 231 0.3× 612 1.0× 993 2.9× 419 1.5× 232 4.0k

Countries citing papers authored by A. Sergeev

Since Specialization
Citations

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

Fields of papers citing papers by A. Sergeev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of A. Sergeev. A scholar is included among the top collaborators of A. Sergeev 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. Sergeev. A. Sergeev 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.
Sergeev, A., et al.. (2023). Quality Analysis of Matrix Masking of Digital Audio Data. Proceedings of Telecommunication Universities. 9(3). 6–13.
2.
Sergeev, A.. (2023). Interrelation of Symmetry and Antisymmetry of Quasi-Orthogonal Cyclic Matrices with Prime Numbers. Proceedings of Telecommunication Universities. 8(4). 14–19. 1 indexed citations
3.
Sergeev, A., et al.. (2022). Hadamard matrices as a result of Scarpis product without cyclic shifts. Information and Control Systems. 2–8. 1 indexed citations
4.
Shevlyagin, A. V., Aleksandr A. Kuchmizhak, Eugeny Mitsai, et al.. (2022). Mg$_2$Si is the new black: introducing a black silicide with $>$95% average absorption at 200-1800 nm wavelengths. arXiv (Cornell University).
5.
Sergeev, A., et al.. (2022). Improving the efficiency of Hadamard matrix mining for digital conversion methods. 92–100. 1 indexed citations
6.
Sergeev, A., et al.. (2021). Finite field and group algorithms for orthogonal sequence search. Information and Control Systems. 2–17. 3 indexed citations
7.
Sergeev, A., et al.. (2021). Hardware and software complex for remote monitoring and control of a pregnant woman's health state. Information and Control Systems. 21–30. 2 indexed citations
8.
Sergeev, A., et al.. (2019). Data Collection And Processing Problems in Automatic EEG Emotion Recognition.. 1 indexed citations
9.
Sergeev, A., et al.. (2018). TWO-CIRCULANT HADAMARD MATRICES, WEIGHING MATRICES, AND RYSER'S CONJECTURE. Information and Control Systems. 3(94). 2–9. 5 indexed citations
10.
Sergeev, A. & Nathan Blaunstein. (2017). Orthogonal Matrices with Symmetrical Structures for Image Processing. Information and Control Systems. 6(91). 2–8. 7 indexed citations
11.
Sergeev, A., et al.. (2016). On Relationships among Quasi-orthogonal Matrices Constructed on the Known Sequences of Prime Numbers. SPIIRAS Proceedings. 1(50). 209–209. 2 indexed citations
12.
Gorbunov, I., et al.. (2013). Picosecond Raman compression laser at 1530 nm with aberration compensation. Optics Letters. 38(17). 3237–3237. 12 indexed citations
13.
Kuchkina, N. V., David Morgan, Barry Stein, et al.. (2012). Polyphenylenepyridyl dendrimers as stabilizing and controlling agents for CdS nanoparticle formation. Nanoscale. 4(7). 2378–2378. 10 indexed citations
14.
Emelin, M. Yu., M. Yu. Ryabikin, & A. Sergeev. (2010). Frequency tunable single attosecond pulse production from aligned diatomic molecules ionized by intense laser field. Optics Express. 18(3). 2269–2269. 8 indexed citations
15.
Gladkova, Natalia D., С Г Раденска-Лоповок, Ludmila B. Snopova, et al.. (2000). In vivo optical coherence tomography imaging of human skin: norm and pathology. Skin Research and Technology. 6(1). 6–16. 133 indexed citations
16.
Jäckle, Sonja, Natalia D. Gladkova, Felix I. Feldchtein, et al.. (2000). In Vivo Endoscopic Optical Coherence Tomography of the Human Gastrointestinal Tract - Toward Optical Biopsy. Endoscopy. 32(10). 743–749. 96 indexed citations
17.
Roper, Steven N., Grigory V. Gelikonov, Felix I. Feldchtein, et al.. (1998). In vivo detection of experimentally induced cortical dysgenesis in the adult rat neocortex using optical coherence tomography. Journal of Neuroscience Methods. 80(1). 91–98. 34 indexed citations
18.
Gelikonov, Valentin M., A. Sergeev, Grigory V. Gelikonov, et al.. (1996). Compact fast-scanning OCT device for in vivo biotissue imaging. Conference on Lasers and Electro-Optics. 58–59. 4 indexed citations
19.
Kamensky, Vladislav A., Valentin M. Gelikonov, Grigory V. Gelikonov, et al.. (1996). YAG:Er laser system for eye microsurgery with OCT monitoring. Conference on Lasers and Electro-Optics. 60–61. 1 indexed citations
20.
Sergeev, A., Valentin M. Gelikonov, Grigory V. Gelikonov, et al.. (1995). High-spatial-resolution optical-coherence tomography of human skin and mucous membranes. Conference on Lasers and Electro-Optics. 6 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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