Andrey E. Schegolev
Impact in
- Artificial Intelligence top 10%
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
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- Physics of Superconductivity and Magnetism
Papers in
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- Neural Networks and Reservoir Computing 11
- Neural Networks and Applications 7
- Quantum Computing Algorithms and Architecture 6
- Quantum Information and Cryptography 4
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- Advanced Memory and Neural Computing 10
- Advancements in Semiconductor Devices and Circuit Design 4
- Photonic and Optical Devices 3
- Co-authors
- N. V. Klenov (30 shared papers)I. I. Soloviev (20 shared papers)М. В. Терешонок (15 shared papers)S. V. Bakurskiy (9 shared papers)M. Yu. Kupriyanov (7 shared papers)V. S. Stolyarov (2 shared papers)A. M. Popov (9 shared papers)A. V. Bogatskaya (9 shared papers)
In The Last Decade
Andrey E. Schegolev
26 papers receiving 315 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 189
- Condensed Matter Physics 57
- Atomic and Molecular Physics, and Optics 148
- Statistical and Nonlinear Physics 52
- Electrical and Electronic Engineering 144
Countries citing papers authored by Andrey E. Schegolev
This map shows the geographic impact of Andrey E. Schegolev'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 Andrey E. Schegolev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrey E. Schegolev more than expected).
Fields of papers citing papers by Andrey E. Schegolev
This network shows the impact of papers produced by Andrey E. Schegolev. 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 Andrey E. Schegolev. The network helps show where Andrey E. Schegolev may publish in the future.
Co-authors
The 14 scholars most cited alongside Andrey E. Schegolev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 56 | |
| 2 | 2016 | 41 | |
| 3 | 2020 | 24 | |
| 4 | 2022 | 23 | |
| 5 | 2023 | 21 | |
| 6 | 2018 | 19 | |
| 7 | 2020 | 18 | |
| 8 | 2022 | 18 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2019 | 9 | |
| 13 | 2020 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2024 | 5 | |
| 17 | 2022 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2021 | 3 |
About Andrey E. Schegolev
Andrey E. Schegolev is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Condensed Matter Physics, having authored 30 papers that have together received 316 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (11 papers), Advanced Memory and Neural Computing (10 papers), Neural Networks and Applications (7 papers), Quantum Computing Algorithms and Architecture (6 papers), Quantum and electron transport phenomena (5 papers), Quantum Information and Cryptography (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers) and Photonic and Optical Devices (3 papers). The work is most often cited by research in Artificial Intelligence (189 citations), Condensed Matter Physics (57 citations), Atomic and Molecular Physics, and Optics (148 citations), Statistical and Nonlinear Physics (52 citations) and Electrical and Electronic Engineering (144 citations). Andrey E. Schegolev has collaborated with scholars based in Russia, Moldova and France. Frequent co-authors include N. V. Klenov, I. I. Soloviev, М. В. Терешонок, S. V. Bakurskiy, M. Yu. Kupriyanov, V. S. Stolyarov, A. M. Popov, A. V. Bogatskaya, A. A. Golubov and Anatolie Sidorenko. Their work appears in journals such as Beilstein Journal of Nanotechnology, Nanomaterials, Sensors, Chaos Solitons & Fractals and Journal of Experimental and Theoretical Physics Letters.
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.