Ryuta Aoki

661 citations
37 papers · 444 · h-index 12

Impact in

    • Functional Brain Connectivity Studies
    • Neural and Behavioral Psychology Studies
    • Neural dynamics and brain function
    • Psychology of Moral and Emotional Judgment
    • EEG and Brain-Computer Interfaces

Papers in

Ryuta Aoki

35 papers receiving 424 citations

Peers

Ryuta Aoki
Comparison fields: 5 of 94
  • Cognitive Neuroscience 254
  • General Decision Sciences 10
  • Applied Psychology 24
  • Experimental and Cognitive Psychology 62
  • Radiology, Nuclear Medicine and Imaging 90
Replace Yichuan Liu with:
Yichuan Liu United States
Matthew C. Costello United States
Clémence Roger France
Yuwen Hung Canada
E. E. Sjak-Shie Netherlands
Sara Spadone Italy
Yukako Sasaki Japan
Deborah L. Green United States
Gillian Porter United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Ryuta Aoki

Since Specialization
Citations

This map shows the geographic impact of Ryuta Aoki'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 Ryuta Aoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryuta Aoki more than expected).

Fields of papers citing papers by Ryuta Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryuta Aoki. 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 Ryuta Aoki. The network helps show where Ryuta Aoki may publish in the future.

Co-authors

The 25 scholars most cited alongside Ryuta Aoki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ryuta Aoki Line = papers co-authored together Ryuta Aoki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201166
2 201140
3 201839
4 201430
5 197124
6 201622
7 201320
8 202117
9 202317
10 201915
11 201415
12 201713
13 201812
14 202012
15 202312
16 201011
17 20089
18 20218
19 20228
20 20248

About Ryuta Aoki

Ryuta Aoki is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, General Decision Sciences, Experimental and Cognitive Psychology and Developmental and Educational Psychology, having authored 37 papers that have together received 444 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (13 papers), Neural and Behavioral Psychology Studies (11 papers), Psychology of Moral and Emotional Judgment (5 papers), Optical Imaging and Spectroscopy Techniques (5 papers), Social and Intergroup Psychology (4 papers), Memory and Neural Mechanisms (4 papers), Decision-Making and Behavioral Economics (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Cognitive Neuroscience (254 citations), General Decision Sciences (10 citations), Applied Psychology (24 citations), Experimental and Cognitive Psychology (62 citations) and Radiology, Nuclear Medicine and Imaging (90 citations). Ryuta Aoki has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Hideaki Koizumi, Hiroki R. Sato, Takusige Katura, Kiyoshi Nakahara, Kenji Matsumoto, Keise Izuma, Koji Jimura, Masayuki Suzuki, Yukihito Yomogida and Atsushi Maki. Their work appears in journals such as Journal of Neuroscience, Neuroscience Research, Cerebral Cortex, NeuroImage and Scientific Reports.

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.

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