Shumpei Uno
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture 10
- Quantum Information and Cryptography 9
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- Quantum-Dot Cellular Automata 3
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- Quantum Mechanics and Applications 3
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- Fatigue and fracture mechanics 7
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- Nuclear Materials and Properties 5
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- Nuclear and radioactivity studies 4
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- Risk and Safety Analysis 3
- Co-authors
- Rudy RaymondTomoki TanakaNaoki YamamotoYohichi SuzukiTamiya OnoderaYinsheng LiJinya KatsuyamaMark Kirk
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsAtomic and Molecular Physics, and Optics
- Journals
- New Journal of Physics (1 paper)Physical review. A (3 papers)Quantum Information Processing (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Shumpei Uno
19 papers receiving 258 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 213
- Computational Theory and Mathematics 46
- Atomic and Molecular Physics, and Optics 81
- Computational Mathematics 1
- Mechanics of Materials 32
Countries citing papers authored by Shumpei Uno
This map shows the geographic impact of Shumpei Uno'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 Shumpei Uno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shumpei Uno more than expected).
Fields of papers citing papers by Shumpei Uno
This network shows the impact of papers produced by Shumpei Uno. 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 Shumpei Uno. The network helps show where Shumpei Uno may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Shumpei Uno, 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 | 2024 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 57 | |
| 6 | 2022 | 21 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 14 | |
| 9 | 2020 | 119 | |
| 10 | 2020 | 2 | |
| 11 | Analyzing feature space via pauli decomposition for quantum classifier | 2019 | 1 |
| 12 | 2018 | 4 | |
| 13 | 2018 | 1 | |
| 14 | 2018 | 2 | |
| 15 | 2017 | 0 | |
| 16 | 2017 | 7 | |
| 17 | 2017 | 6 | |
| 18 | 2017 | 6 | |
| 19 | Guideline on a Structural Integrity Assessment for Reactor Pressure Vessel Based on Probabilistic Fracture Mechanics | 2017 | 3 |
| 20 | 2016 | 2 |
About Shumpei Uno
Shumpei Uno is a scholar working on Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality and Metals and Alloys, having authored 20 papers that have together received 272 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (10 papers), Quantum Information and Cryptography (9 papers), Fatigue and fracture mechanics (7 papers), Nuclear Materials and Properties (5 papers), Nuclear and radioactivity studies (4 papers), Quantum Mechanics and Applications (3 papers), Risk and Safety Analysis (3 papers) and Quantum-Dot Cellular Automata (3 papers). The work is most often cited by research in Artificial Intelligence (213 citations), Computational Theory and Mathematics (46 citations) and Atomic and Molecular Physics, and Optics (81 citations). Shumpei Uno has collaborated with scholars based in Japan and United States. Frequent co-authors include Rudy Raymond, Tomoki Tanaka, Naoki Yamamoto, Yohichi Suzuki, Tamiya Onodera, Yinsheng Li, Jinya Katsuyama, Mark Kirk, Takahiko Satoh and Noboru Kunihiro. Their work appears in journals such as New Journal of Physics, Physical review. A and Quantum Information Processing.
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.