Tomoya Nakai
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 7
- Functional Brain Connectivity Studies 7
- Face Recognition and Perception 5
- Neuroscience and Music Perception 5
- Neural and Behavioral Psychology Studies 5
- Statistics and Probability top 10%
- Cognitive and developmental aspects of mathematical skills 7
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- Reading and Literacy Development 4
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- Mathematics Education and Teaching Techniques 4
- Co-authors
- Shinji NishimotoKazuo OkanoyaKuniyoshi L. SakaiHironori NakataniDror CohenDaiki MatsumotoTomomi FujimuraJérôme Prado
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (3 papers)
- Partner nations
- JapanFranceUnited Kingdom
In The Last Decade
Tomoya Nakai
24 papers receiving 200 citations
Peers
Comparison fields: 5 of 61
- Cognitive Neuroscience 133
- Statistics and Probability 31
- Developmental and Educational Psychology 39
- Experimental and Cognitive Psychology 27
- Computational Mathematics 1
Countries citing papers authored by Tomoya Nakai
This map shows the geographic impact of Tomoya 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 Tomoya Nakai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoya Nakai more than expected).
Fields of papers citing papers by Tomoya Nakai
This network shows the impact of papers produced by Tomoya 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 Tomoya Nakai. The network helps show where Tomoya Nakai may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Tomoya 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 14 | |
| 14 | 2020 | 23 | |
| 15 | 2020 | 37 | |
| 16 | 2020 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2018 | 8 | |
| 19 | 2017 | 3 | |
| 20 | 2016 | 8 |
About Tomoya Nakai
Tomoya Nakai is a scholar working on Cognitive Neuroscience, Statistics and Probability and Developmental and Educational Psychology, having authored 27 papers that have together received 200 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Cognitive and developmental aspects of mathematical skills (7 papers), Functional Brain Connectivity Studies (7 papers), Face Recognition and Perception (5 papers), Neuroscience and Music Perception (5 papers), Neural and Behavioral Psychology Studies (5 papers), Reading and Literacy Development (4 papers) and Mathematics Education and Teaching Techniques (4 papers). The work is most often cited by research in Cognitive Neuroscience (133 citations), Statistics and Probability (31 citations) and Developmental and Educational Psychology (39 citations). Tomoya Nakai has collaborated with scholars based in Japan, France and United Kingdom. Frequent co-authors include Shinji Nishimoto, Kazuo Okanoya, Kuniyoshi L. Sakai, Hironori Nakatani, Dror Cohen, Daiki Matsumoto, Tomomi Fujimura, Jérôme Prado, Hiroto Yamaguchi and Ryosuke O. Tachibana. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.