Yu. A. Pashkin
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- Quantum and electron transport phenomena 62
- Mechanical and Optical Resonators 19
- Surface and Thin Film Phenomena 13
- Force Microscopy Techniques and Applications 9
- Artificial Intelligence top 0.2%
- Quantum Information and Cryptography 27
- Quantum Computing Algorithms and Architecture 11
- Condensed Matter Physics top 2%
- Physics of Superconductivity and Magnetism 31
- Acoustics and Ultrasonics top 10%
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- Advanced MEMS and NEMS Technologies 10
- Co-authors
- Yasunobu NakamuraO. V. AstafievTsuyoshi YamamotoJaw-Shen TsaiJ. S. TsaiD. V. AverinA. M. ZagoskinA. A. Abdumalikov
- Partner nations
- JapanUnited KingdomFinland
In The Last Decade
Yu. A. Pashkin
94 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Atomic and Molecular Physics, and Optics 4.2k
- Artificial Intelligence 2.8k
- Condensed Matter Physics 674
- Acoustics and Ultrasonics 17
- Statistical and Nonlinear Physics 207
Countries citing papers authored by Yu. A. Pashkin
This map shows the geographic impact of Yu. A. Pashkin'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 Yu. A. Pashkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu. A. Pashkin more than expected).
Fields of papers citing papers by Yu. A. Pashkin
This network shows the impact of papers produced by Yu. A. Pashkin. 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 Yu. A. Pashkin. The network helps show where Yu. A. Pashkin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu. A. Pashkin, 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 | 2025 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 8 | |
| 6 | 2021 | 8 | |
| 7 | 2020 | 7 | |
| 8 | 2019 | 4 | |
| 9 | 2017 | 15 | |
| 10 | 2011 | 39 | |
| 11 | 2010 | 35 | |
| 12 | 2010 | 265 | |
| 13 | 2009 | 16 | |
| 14 | 2007 | 235 | |
| 15 | Fabrication of Ultrasmall All-Nb Tunnel-Junction Devices with Ion Beam-Oxidized Barriers | 2006 | 1 |
| 16 | 2006 | 58 | |
| 17 | 2004 | 216 | |
| 18 | Coupling two charge qubits | 2003 | 1 |
| 19 | Quantum oscillations in two coupled charge qubitsbreakdown → | 2003 | 558 |
| 20 | 2002 | 250 |
About Yu. A. Pashkin
Yu. A. Pashkin is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Artificial Intelligence, having authored 98 papers that have together received 4.6k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (62 papers), Physics of Superconductivity and Magnetism (31 papers), Quantum Information and Cryptography (27 papers), Mechanical and Optical Resonators (19 papers), Surface and Thin Film Phenomena (13 papers), Quantum Computing Algorithms and Architecture (11 papers), Advanced MEMS and NEMS Technologies (10 papers) and Force Microscopy Techniques and Applications (9 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (4.2k citations), Artificial Intelligence (2.8k citations) and Condensed Matter Physics (674 citations). Yu. A. Pashkin has collaborated with scholars based in Japan, United Kingdom and Finland. Frequent co-authors include Yasunobu Nakamura, O. V. Astafiev, Tsuyoshi Yamamoto, Jaw-Shen Tsai, J. S. Tsai, D. V. Averin, A. M. Zagoskin, A. A. Abdumalikov, K. Inomata and V. F. Maisi. Their work appears in journals such as Nature, Science and Physical Review 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.