Yuichi Motoyama
- Condensed Matter Physics top 10%
- Physics of Superconductivity and Magnetism 12
- Advanced Condensed Matter Physics 6
-
- Quantum many-body systems 9
- Cold Atom Physics and Bose-Einstein Condensates 2
- Quantum, superfluid, helium dynamics 2
-
- Machine Learning in Materials Science 4
- Electronic and Structural Properties of Oxides 4
-
- Electron and X-Ray Spectroscopy Techniques 2
- Co-authors
- Kazuyoshi YoshimiTakahiro MisawaMitsuaki KawamuraSynge TodoTakeo KatoRyo TamuraKoji TsudaTsuyoshi Ueno
- Journals
- The Journal of Chemical Physics (1 paper)SHILAP Revista de lepidopterología (1 paper)Computer Physics Communications (11 papers)
In The Last Decade
Yuichi Motoyama
20 papers receiving 289 citations
Peers
Comparison fields: 5 of 55
- Condensed Matter Physics 127
- Computational Mathematics 5
- Atomic and Molecular Physics, and Optics 120
- Electronic, Optical and Magnetic Materials 63
- Materials Chemistry 87
Countries citing papers authored by Yuichi Motoyama
This map shows the geographic impact of Yuichi Motoyama'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 Yuichi Motoyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichi Motoyama more than expected).
Fields of papers citing papers by Yuichi Motoyama
This network shows the impact of papers produced by Yuichi Motoyama. 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 Yuichi Motoyama. The network helps show where Yuichi Motoyama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuichi Motoyama, 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 | 2024 | 3 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 57 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 8 | |
| 14 | 2020 | 68 | |
| 15 | 2020 | 2 | |
| 16 | 2020 | 8 | |
| 17 | 2019 | 10 | |
| 18 | 2018 | 66 | |
| 19 | 2018 | 8 | |
| 20 | 2013 | 11 |
About Yuichi Motoyama
Yuichi Motoyama is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Surfaces, Coatings and Films, having authored 21 papers that have together received 289 indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (12 papers), Quantum many-body systems (9 papers), Advanced Condensed Matter Physics (6 papers), Machine Learning in Materials Science (4 papers), Electronic and Structural Properties of Oxides (4 papers), Cold Atom Physics and Bose-Einstein Condensates (2 papers), Quantum, superfluid, helium dynamics (2 papers) and Electron and X-Ray Spectroscopy Techniques (2 papers). The work is most often cited by research in Condensed Matter Physics (127 citations), Computational Mathematics (5 citations) and Atomic and Molecular Physics, and Optics (120 citations). Yuichi Motoyama has collaborated with scholars based in Japan and China. Frequent co-authors include Kazuyoshi Yoshimi, Takahiro Misawa, Mitsuaki Kawamura, Synge Todo, Takeo Kato, Ryo Tamura, Koji Tsuda, Tsuyoshi Ueno, Kei Terayama and Satoshi Morita. Their work appears in journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Computer Physics Communications.
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.