Sumito Tsunegi
- Electrical and Electronic Engineering top 2%
- Atomic and Molecular Physics, and Optics top 2%
- Artificial Intelligence top 1%
- Electronic, Optical and Magnetic Materials top 5%
- Materials Chemistry top 10%
- Co-authors
- Hitoshi KubotaShinji YuasaAkio FukushimaKay YakushijiJulie GrollierVincent CrosPaolo BortolottiDamien Querlioz
- Topics
- Magnetic properties of thin films (33 papers)Advanced Memory and Neural Computing (25 papers)Neural Networks and Reservoir Computing (22 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceElectronic, Optical and Magnetic Materials
- Partner nations
- JapanFranceUnited States
In The Last Decade
Sumito Tsunegi
55 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Electrical and Electronic Engineering 1.9k
- Atomic and Molecular Physics, and Optics 1.5k
- Artificial Intelligence 1.2k
- Electronic, Optical and Magnetic Materials 703
- Materials Chemistry 459
Countries citing papers authored by Sumito Tsunegi
This map shows the geographic impact of Sumito Tsunegi'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 Sumito Tsunegi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumito Tsunegi more than expected).
Fields of papers citing papers by Sumito Tsunegi
This network shows the impact of papers produced by Sumito Tsunegi. 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 Sumito Tsunegi. The network helps show where Sumito Tsunegi may publish in the future.
Co-authorship network of co-authors of Sumito Tsunegi
This figure shows the co-authorship network connecting the top 25 collaborators of Sumito Tsunegi. A scholar is included among the top collaborators of Sumito Tsunegi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sumito Tsunegi. Sumito Tsunegi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 0 | |
| 3 | 21 | |
| 4 | 30 | |
| 5 | 9 | |
| 6 | 24 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 62 | |
| 10 | 21 | |
| 11 | 47 | |
| 12 | 44 | |
| 13 | 1 | |
| 14 | Vowel recognition with four coupled spin-torque nano-oscillatorsbreakdown → | 359 |
| 15 | Neuromorphic computing with nanoscale spintronic oscillatorsbreakdown → | 945 |
| 16 | 4 | |
| 17 | 91 | |
| 18 | 36 | |
| 19 | 67 | |
| 20 | 39 |
About Sumito Tsunegi
Sumito Tsunegi is a scholar working on Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials and Condensed Matter Physics, having authored 56 papers that have together received 3.1k indexed citations. Recurring topics across this work include Magnetic properties of thin films (33 papers), Advanced Memory and Neural Computing (25 papers) and Neural Networks and Reservoir Computing (22 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.5k citations), Artificial Intelligence (1.2k citations) and Electronic, Optical and Magnetic Materials (703 citations). Sumito Tsunegi has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Hitoshi Kubota, Shinji Yuasa, Akio Fukushima, Kay Yakushiji, Julie Grollier, Vincent Cros, Paolo Bortolotti, Damien Querlioz, Flavio Abreu Araujo and Tomohiro Taniguchi. Their work appears in journals such as Nature, Physical Review Letters and Nature 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.