Yosuke Matsusaka

27 papers receiving 333 citations

Peers

Yosuke Matsusaka
Comparison fields: 5 of 56
  • Social Psychology 190
  • Artificial Intelligence 142
  • Control and Systems Engineering 118
  • Computer Vision and Pattern Recognition 105
  • Human-Computer Interaction 80
Replace Samer Al Moubayed with:
Samer Al Moubayed Sweden
Chaoran Liu Japan
Shinya Fujie Japan
Ionuț Damian Germany
Ylva Ferstl Ireland
Irene Albrecht Germany
Frédéric Elisei France
Simon Alexanderson Sweden
Masayoshi Kanoh Japan
Petra Gieselmann Germany
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Citations per field
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Citations per year

Countries citing papers authored by Yosuke Matsusaka

Since Specialization
Citations

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

Fields of papers citing papers by Yosuke Matsusaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yosuke Matsusaka

This figure shows the co-authorship network connecting the top 25 collaborators of Yosuke Matsusaka. A scholar is included among the top collaborators of Yosuke Matsusaka 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 Yosuke Matsusaka. Yosuke Matsusaka 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 0
2 1
3 5
4 1
5 3
6 1
7 10
8 0
9 5
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11
Multi Human Trajectory Estimation Using Stochastic Sampling and Its Application to Meeting Recognition.
1
12 3
13
2D Omni Directional Head and Head-Parts Tracking Technique Using Subspace Method and SVM
1
14 44
15 3
16 1
17
Conversation Robot Participating in Group Conversation
38
18
Conservation robot participating in group corservation
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19 3
20 9

About Yosuke Matsusaka

Yosuke Matsusaka is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Social Psychology, having authored 29 papers that have together received 365 indexed citations. Recurring topics across this work include Robotics and Automated Systems (13 papers), Speech and dialogue systems (8 papers) and Social Robot Interaction and HRI (8 papers). The work is most often cited by research in Human-Computer Interaction (80 citations), Social Psychology (190 citations) and Computer Vision and Pattern Recognition (105 citations). Yosuke Matsusaka has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tetsunori Kobayashi, Shinya Fujie, Tetsuo Kobayashi, Isao Hara, Kanako Nakajima, Masataka Goto, Jun Ogata, Takeo Igarashi, Gordon Cheng and Tomoo Inoue. Their work appears in journals such as Machine Vision and Applications, Advanced Robotics and IEICE Transactions on Information and Systems.

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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