E. V. Kovlakov
Impact in
- Acoustics and Ultrasonics top 5%
- Random lasers and scattering media
- Artificial Intelligence top 5%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
Papers in
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- Quantum Information and Cryptography 8
- Quantum Computing Algorithms and Architecture 4
- Neural Networks and Reservoir Computing 2
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- Quantum Mechanics and Applications 3
- Orbital Angular Momentum in Optics 3
- Co-authors
- S. S. Straupe (10 shared papers)S. P. Kulik (10 shared papers)Jacob Biamonte (1 shared paper)Dmitry Yudin (1 shared paper)Federico Bianchi (1 shared paper)Hyunseok Jeong (2 shared papers)Gerd Leuchs (2 shared papers)L. L. Sánchez-Soto (2 shared papers)
- Journals
- Physical review. A (5 papers)PRX Quantum (1 paper)Physical Review Letters (1 paper)npj Quantum Information (1 paper)New Journal of Physics (1 paper)
- Partner nations
- RussiaGermanySouth Korea
In The Last Decade
E. V. Kovlakov
10 papers receiving 343 citations
Peers
Comparison fields: 5 of 34
- Acoustics and Ultrasonics 26
- Artificial Intelligence 274
- Atomic and Molecular Physics, and Optics 249
- Structural Biology 3
- Instrumentation 5
Countries citing papers authored by E. V. Kovlakov
This map shows the geographic impact of E. V. Kovlakov'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 E. V. Kovlakov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. V. Kovlakov more than expected).
Fields of papers citing papers by E. V. Kovlakov
This network shows the impact of papers produced by E. V. Kovlakov. 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 E. V. Kovlakov. The network helps show where E. V. Kovlakov may publish in the future.
Co-authors
The 15 scholars most cited alongside E. V. Kovlakov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 119 | |
| 2 | 2021 | 66 | |
| 3 | 2018 | 46 | |
| 4 | 2017 | 36 | |
| 5 | 2020 | 22 | |
| 6 | 2020 | 17 | |
| 7 | 2013 | 13 | |
| 8 | 2018 | 13 | |
| 9 | Benchmarking quantum tomography completeness and fidelity with machine learning | 2021 | 12 |
| 10 | 2021 | 8 |
About E. V. Kovlakov
E. V. Kovlakov is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Acoustics and Ultrasonics, Statistical and Nonlinear Physics and Computational Mechanics, having authored 10 papers that have together received 352 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (8 papers), Quantum Computing Algorithms and Architecture (4 papers), Quantum Mechanics and Applications (3 papers), Orbital Angular Momentum in Optics (3 papers), Random lasers and scattering media (2 papers), Neural Networks and Reservoir Computing (2 papers), Advanced Fluorescence Microscopy Techniques (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (26 citations), Artificial Intelligence (274 citations), Atomic and Molecular Physics, and Optics (249 citations), Structural Biology (3 citations) and Instrumentation (5 citations). E. V. Kovlakov has collaborated with scholars based in Russia, Germany and South Korea. Frequent co-authors include S. S. Straupe, S. P. Kulik, Jacob Biamonte, Dmitry Yudin, Federico Bianchi, Hyunseok Jeong, Gerd Leuchs, L. L. Sánchez-Soto, Yong Siah Teo and Maria V. Chekhova. Their work appears in journals such as Physical review. A, PRX Quantum, Physical Review Letters, npj Quantum Information and New Journal of Physics.
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.