M. Emoto
- Nuclear and High Energy Physics top 10%
- Magnetic confinement fusion research 34
- Astronomy and Astrophysics top 10%
- Ionosphere and magnetosphere dynamics 9
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- Physics of Superconductivity and Magnetism 10
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- Advanced Data Storage Technologies 18
- Distributed and Parallel Computing Systems 15
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- Particle accelerators and beam dynamics 9
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- Superconducting Materials and Applications 21
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- Advanced Thermoelectric Materials and Devices 5
- Journals
- Fusion Engineering and Design (19 papers)Review of Scientific Instruments (5 papers)Nuclear Fusion (4 papers)
- Partner nations
- JapanNetherlandsUnited States
In The Last Decade
M. Emoto
55 papers receiving 334 citations
Peers
Comparison fields: 5 of 36
- Nuclear and High Energy Physics 218
- Astronomy and Astrophysics 76
- Condensed Matter Physics 52
- Computer Networks and Communications 83
- Aerospace Engineering 71
Countries citing papers authored by M. Emoto
This map shows the geographic impact of M. Emoto'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 M. Emoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Emoto more than expected).
Fields of papers citing papers by M. Emoto
This network shows the impact of papers produced by M. Emoto. 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 M. Emoto. The network helps show where M. Emoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Emoto, 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 | 2022 | 7 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 0 | |
| 6 | 2019 | 4 | |
| 7 | 2017 | 3 | |
| 8 | 2017 | 23 | |
| 9 | 2014 | 2 | |
| 10 | 2014 | 5 | |
| 11 | 2012 | 3 | |
| 12 | 2012 | 5 | |
| 13 | 2012 | 8 | |
| 14 | 2011 | 6 | |
| 15 | 2010 | 12 | |
| 16 | 2010 | 15 | |
| 17 | 2010 | 3 | |
| 18 | 2006 | 8 | |
| 19 | 2002 | 2 | |
| 20 | Examples of Data Processing Systems Data Monitoring System for Superconducting and Plasma Experiments( Data Processing in plasma Experiment VI) | 1997 | 1 |
About M. Emoto
M. Emoto is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Condensed Matter Physics, Astronomy and Astrophysics and Biomedical Engineering, having authored 60 papers that have together received 351 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (34 papers), Superconducting Materials and Applications (21 papers), Advanced Data Storage Technologies (18 papers), Distributed and Parallel Computing Systems (15 papers), Physics of Superconductivity and Magnetism (10 papers), Ionosphere and magnetosphere dynamics (9 papers), Particle accelerators and beam dynamics (9 papers) and Advanced Thermoelectric Materials and Devices (5 papers). The work is most often cited by research in Nuclear and High Energy Physics (218 citations), Astronomy and Astrophysics (76 citations), Condensed Matter Physics (52 citations), Computer Networks and Communications (83 citations) and Aerospace Engineering (71 citations). M. Emoto has collaborated with scholars based in Japan, Netherlands and United States. Frequent co-authors include K. Ida, C. Suzuki, M. Yokoyama, Y. Suzuki, Y. Nagayama, H. Nakanishi, M. Hamabe, Toshio Kawahara, Hirofumi Watanabe and Satarou Yamaguchi. Their work appears in journals such as Fusion Engineering and Design, Review of Scientific Instruments, Nuclear Fusion, Fusion Science & Technology and IEEE Transactions on Applied Superconductivity.
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.