Satoshi Shibuya

2.0k citations
55 papers · 1.3k indexed · h-index 18
Topics
Virtual Reality Applications and Impacts (10 papers)Action Observation and Synchronization (8 papers)Psychosomatic Disorders and Their Treatments (4 papers)

In The Last Decade

Satoshi Shibuya

45 papers receiving 1.2k citations

Peers

Satoshi Shibuya
Comparison fields: 5 of 112
  • Molecular Biology 438
  • Cognitive Neuroscience 315
  • Neurology 251
  • Radiology, Nuclear Medicine and Imaging 247
  • Neurology 179
Replace Yusuf Özgür Çakmak with:
Yusuf Özgür Çakmak New Zealand
Lorenzo Priano Italy
Giulia Liberati Belgium
Stefan Brodoehl Germany
Zeping Lv China
Magnus Thordstein Sweden
Tong Wang China
Jing Ye China
Federica Bressi Italy
Walter G. Besio United States
Satoshi Shibuya relative to Yusuf Özgür Çakmak New Zealand Yusuf Özgür Çakmak's profile →
Citations per field
00.5×12.3×
Yusuf Özgür Çakmak · 1×
Citations per year

Countries citing papers authored by Satoshi Shibuya

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Shibuya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Shibuya

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Shibuya. A scholar is included among the top collaborators of Satoshi Shibuya 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 Satoshi Shibuya. Satoshi Shibuya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 2
5 9
6 14
7 0
8 0
9 11
10 23
11 20
12 1
13 14
14 0
15
Melody generation system based on generalization by human causal intuition
1
16 2
17 37
18 12
19 42
20 13

About Satoshi Shibuya

Satoshi Shibuya is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Neurology, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (10 papers), Action Observation and Synchronization (8 papers) and Psychosomatic Disorders and Their Treatments (4 papers). The work is most often cited by research in Neurology (251 citations), Cognitive Neuroscience (315 citations) and Human-Computer Interaction (84 citations). Satoshi Shibuya has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Shigeru Kitazawa, Toshimitsu Takahashi, Yoriko Takikawa, Reiko Kawagoe, Yukari Ohki, Tetsuyuki Kitamoto, Hidehiko Konno, Katsumi Doh‐ura, Yusei Shiga and J Tateishi. Their work appears in journals such as NeuroImage, Neurology and Applied Catalysis B: Environmental.

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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