Yasuo Nakai
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 8
- Functional Brain Connectivity Studies 8
- EEG and Brain-Computer Interfaces 7
- Computational Mechanics top 5%
- Ion-surface interactions and analysis 16
- Psychiatry and Mental health top 10%
- Surfaces, Coatings and Films top 10%
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- Semiconductor Quantum Structures and Devices 9
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- Laser-induced spectroscopy and plasma 9
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- Advanced Semiconductor Detectors and Materials 7
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- Wheat and Barley Genetics and Pathology 7
- Co-authors
- Noriaki ItohEishi AsanoAzusa N. HattoriAkiko OkanoKôzô HirotaSandeep SoodErik C. BrownJeong‐Won Jeong
- Journals
- Physical Review Letters (2 papers)Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (3 papers)
- Partner nations
- JapanUnited StatesPoland
In The Last Decade
Yasuo Nakai
85 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 117
- Cognitive Neuroscience 375
- Computational Mechanics 228
- Psychiatry and Mental health 153
- Surfaces, Coatings and Films 62
- Atomic and Molecular Physics, and Optics 228
Countries citing papers authored by Yasuo Nakai
This map shows the geographic impact of Yasuo Nakai'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 Yasuo Nakai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuo Nakai more than expected).
Fields of papers citing papers by Yasuo Nakai
This network shows the impact of papers produced by Yasuo Nakai. 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 Yasuo Nakai. The network helps show where Yasuo Nakai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasuo Nakai, 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 | 0 | |
| 2 | 2021 | 33 | |
| 3 | 2021 | 8 | |
| 4 | 2021 | 5 | |
| 5 | 2020 | 3 | |
| 6 | 2020 | 11 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 1 | |
| 9 | 2019 | 9 | |
| 10 | 2017 | 34 | |
| 11 | 2017 | 11 | |
| 12 | 2011 | 19 | |
| 13 | 2006 | 17 | |
| 14 | 1993 | 65 | |
| 15 | 1992 | 55 | |
| 16 | A polyacrylamide gel isoelectrofocusing study of acid phosphatase isozymes of Aegilops species with reference to their numerical taxonomy | 1984 | 5 |
| 17 | 1961 | 7 | |
| 18 | 1960 | 10 | |
| 19 | 1959 | 1 | |
| 20 | 1959 | 1 |
About Yasuo Nakai
Yasuo Nakai is a scholar working on Computational Mechanics, Ceramics and Composites and Cognitive Neuroscience, having authored 88 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ion-surface interactions and analysis (16 papers), Semiconductor Quantum Structures and Devices (9 papers), Laser-induced spectroscopy and plasma (9 papers), Neural dynamics and brain function (8 papers), Functional Brain Connectivity Studies (8 papers), EEG and Brain-Computer Interfaces (7 papers), Advanced Semiconductor Detectors and Materials (7 papers) and Wheat and Barley Genetics and Pathology (7 papers). The work is most often cited by research in Cognitive Neuroscience (375 citations), Computational Mechanics (228 citations) and Psychiatry and Mental health (153 citations). Yasuo Nakai has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Noriaki Itoh, Eishi Asano, Azusa N. Hattori, Noriaki Itoh, Akiko Okano, Kôzô Hirota, Sandeep Sood, Erik C. Brown, Jeong‐Won Jeong and Toshimune Kambara. Their work appears in journals such as Physical Review Letters, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.