Shuichi Nishio
- Human-Computer Interaction top 1%
- Virtual Reality Applications and Impacts 12
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 12
- Social Psychology top 2%
- Social Robot Interaction and HRI 27
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- Robotics and Automated Systems 10
- Artificial Intelligence top 5%
- AI in Service Interactions 9
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- Fusion materials and technologies 16
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- Magnetic confinement fusion research 15
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- Superconducting Materials and Applications 8
Shuichi Nishio
102 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 129
- Human-Computer Interaction 294
- Cognitive Neuroscience 562
- Social Psychology 567
- Control and Systems Engineering 211
- Artificial Intelligence 277
Countries citing papers authored by Shuichi Nishio
This map shows the geographic impact of Shuichi Nishio'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 Shuichi Nishio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuichi Nishio more than expected).
Fields of papers citing papers by Shuichi Nishio
This network shows the impact of papers produced by Shuichi Nishio. 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 Shuichi Nishio. The network helps show where Shuichi Nishio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuichi Nishio, 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 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2020 | 8 | |
| 4 | 2017 | 5 | |
| 5 | 2016 | 53 | |
| 6 | 2016 | 31 | |
| 7 | 2016 | 32 | |
| 8 | 2016 | 18 | |
| 9 | 2014 | 22 | |
| 10 | 2014 | 51 | |
| 11 | 2013 | 3 | |
| 12 | Situation-based behavior modeling for anomality detection | 2008 | 1 |
| 13 | Visual Abstraction for Privacy Preserving Video Surveillance | 2006 | 8 |
| 14 | 2006 | 13 | |
| 15 | 2005 | 1 | |
| 16 | 2000 | 14 | |
| 17 | 2000 | 37 | |
| 18 | IMAGE MEASUREMENT OF WAVE HEIGHT DISTRIBUTION AROUND A SHIP MODEL | 1996 | 1 |
| 19 | Tracking of Vehicles at an Intersection by Integration of Multiple Image Sensors. | 1992 | 5 |
| 20 | STUDY ON SEPARATED FLOW AROUND SHIPS AT INCIDENCE | 1988 | 2 |
About Shuichi Nishio
Shuichi Nishio is a scholar working on Human-Computer Interaction, Social Psychology and Nuclear and High Energy Physics, having authored 103 papers that have together received 1.8k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (27 papers), Fusion materials and technologies (16 papers), Magnetic confinement fusion research (15 papers), EEG and Brain-Computer Interfaces (12 papers), Virtual Reality Applications and Impacts (12 papers), Robotics and Automated Systems (10 papers), AI in Service Interactions (9 papers) and Superconducting Materials and Applications (8 papers). The work is most often cited by research in Human-Computer Interaction (294 citations), Cognitive Neuroscience (562 citations) and Social Psychology (567 citations). Shuichi Nishio has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Hiroshi Ishiguro, Christian Peñaloza, Maryam Alimardani, Hidenobu Sumioka, Koji Okamoto, Tsuneo Saga, Norihiro Hagita, Tomohiro Kobayashi, Koji Kamei and Miki Sato. Their work appears in journals such as PLoS ONE, Scientific Reports and Medicine & Science in Sports & Exercise.
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.