Yoichi Matsuyama
- Artificial Intelligence top 10%
- Social Psychology top 10%
- Computer Vision and Pattern Recognition
- Information Systems
- Control and Systems Engineering
- Co-authors
- Shinya FujieTetsunori KobayashiJustine CassellFlorian PécuneSushma A. AkojuRan ZhaoRobert M. GrayA. Buzo
- Topics
- Speech and dialogue systems (16 papers)Social Robot Interaction and HRI (8 papers)Topic Modeling (7 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Yoichi Matsuyama
30 papers receiving 262 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 165
- Social Psychology 110
- Computer Vision and Pattern Recognition 41
- Information Systems 33
- Control and Systems Engineering 26
Countries citing papers authored by Yoichi Matsuyama
This map shows the geographic impact of Yoichi Matsuyama'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 Yoichi Matsuyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoichi Matsuyama more than expected).
Fields of papers citing papers by Yoichi Matsuyama
This network shows the impact of papers produced by Yoichi Matsuyama. 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 Yoichi Matsuyama. The network helps show where Yoichi Matsuyama may publish in the future.
Co-authorship network of co-authors of Yoichi Matsuyama
This figure shows the co-authorship network connecting the top 25 collaborators of Yoichi Matsuyama. A scholar is included among the top collaborators of Yoichi Matsuyama 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 Yoichi Matsuyama. Yoichi Matsuyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 17 | |
| 12 | 10 | |
| 13 | 47 | |
| 14 | Towards a Computational Model of Small Group Facilitation | 2 |
| 15 | Continuous Action Recognition by Action-specific Motion Models | 3 |
| 16 | Framework of Communication Activation Robot Participating in Multiparty Conversation | 19 |
| 17 | Psychological evaluation of a group communication activativation robot in a party game | 5 |
| 18 | 4 | |
| 19 | 10 | |
| 20 | Spectral Distortion Measures for Speech Compression. | 15 |
About Yoichi Matsuyama
Yoichi Matsuyama is a scholar working on Artificial Intelligence, Social Psychology and Language and Linguistics, having authored 32 papers that have together received 272 indexed citations. Recurring topics across this work include Speech and dialogue systems (16 papers), Social Robot Interaction and HRI (8 papers) and Topic Modeling (7 papers). The work is most often cited by research in Social Psychology (110 citations), Artificial Intelligence (165 citations) and Human-Computer Interaction (20 citations). Yoichi Matsuyama has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Shinya Fujie, Tetsunori Kobayashi, Justine Cassell, Florian Pécune, Sushma A. Akoju, Ran Zhao, Robert M. Gray, A. Buzo, Jingya Chen and Tetsuo Kobayashi. Their work appears in journals such as TESOL Quarterly, Language Testing and Small Group Research.
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.