Takayuki Kanda

20.1k total citations · 1 hit paper
386 papers, 13.5k citations indexed

About

Takayuki Kanda is a scholar working on Social Psychology, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Takayuki Kanda has authored 386 papers receiving a total of 13.5k indexed citations (citations by other indexed papers that have themselves been cited), including 282 papers in Social Psychology, 130 papers in Control and Systems Engineering and 126 papers in Artificial Intelligence. Recurrent topics in Takayuki Kanda's work include Social Robot Interaction and HRI (266 papers), Robotics and Automated Systems (101 papers) and AI in Service Interactions (62 papers). Takayuki Kanda is often cited by papers focused on Social Robot Interaction and HRI (266 papers), Robotics and Automated Systems (101 papers) and AI in Service Interactions (62 papers). Takayuki Kanda collaborates with scholars based in Japan, United States and Netherlands. Takayuki Kanda's co-authors include Hiroshi Ishiguro, Norihiro Hagita, Tatsuya Nomura, Masahiro Shiomi, Tomohiro Suzuki, Michita Imai, Christoph Bartneck, Tetsuo Ono, Francesco Zanlungo and Dylan F. Glas and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Proceedings of the IEEE.

In The Last Decade

Takayuki Kanda

366 papers receiving 12.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Interactive Robots as Social Partners and Peer Tutors for Children: A Field Trial

2004 539 citations Takayuki Kanda, Hiroshi Ishiguro et al. profile →

Peers

Takayuki Kanda

SP

AI

CSE

CVPR

CN

Hiroshi Ishiguro Japan

Maja J. Matarić United States

Kerstin Dautenhahn United Kingdom

Cynthia Breazeal United States

Jodi Forlizzi United States

Norihiro Hagita Japan

Brian Scassellati United States

Bilge Mutlu United States

Stacy Marsella United States

Aude Billard Switzerland

Hiroshi Ishiguro Japan

Takayuki Kanda

10.9k ×1.2

SP

5.8k ×1.1

AI

4.4k ×1.3

CSE

3.5k ×1.4

CVPR

4.0k ×2.0

CN

Citations per year, relative to Takayuki Kanda Takayuki Kanda (= 1×) peers Hiroshi Ishiguro

Countries citing papers authored by Takayuki Kanda

Since Specialization

Citations

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

Fields of papers citing papers by Takayuki Kanda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayuki Kanda

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Brščić, Dražen, et al.. (2025). How Should a Robot do Indirect Handovers Politely?. International Journal of Social Robotics. 17(8). 1501–1515.

2.

Seo, Stela H., Daniel J. Rea, Takayuki Kanda, et al.. (2024). Symbiotic Society with Avatars (SSA): Toward Empowering Social Interactions Beyond Space and Time. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1352–1354.

3.

Rea, Daniel J., et al.. (2023). Hey Robot, Tell It to Me Straight: How Different Service Strategies Affect Human and Robot Service Outcomes. International Journal of Social Robotics. 15(6). 969–982. 6 indexed citations

4.

Zanlungo, Francesco, et al.. (2023). A pure number to assess “congestion” in pedestrian crowds. Transportation Research Part C Emerging Technologies. 148. 104041–104041. 13 indexed citations

5.

Hedayati, Hooman, Stela H. Seo, Takayuki Kanda, et al.. (2023). Symbiotic Society with Avatars (SSA). 953–955. 2 indexed citations

6.

Ishi, Carlos Toshinori, et al.. (2016). Analysis of laughter events and social status of children in classrooms. 1004–1008. 1 indexed citations

7.

Shi, Chao, Satoru Satake, Takayuki Kanda, & Hiroshi Ishiguro. (2016). How Would Store Managers Employ Social Robots. Human-Robot Interaction. 519–520. 11 indexed citations

8.

Zaga, Cristina, Manja Lohse, Vicky Charisi, et al.. (2016). 2nd Workshop on Evaluating Child Robot Interaction. Human-Robot Interaction. 587–588. 1 indexed citations

9.

Nomura, Tatsuya & Takayuki Kanda. (2013). Measurement of rapport-expectation with a robot. Human-Robot Interaction. 201–202. 4 indexed citations

10.

Kidokoro, Hiroyuki, Takayuki Kanda, Dražen Brščić, & Masahiro Shiomi. (2013). Will i bother here?: a robot anticipating its influence on pedestrian walking comfort. Human-Robot Interaction. 259–266. 23 indexed citations

11.

Satake, Satoru, et al.. (2013). Understanding suitable locations for waiting. Human-Robot Interaction. 57–64. 12 indexed citations

12.

Zanlungo, Francesco & Takayuki Kanda. (2013). Do walking pedestrians stabily interact inside a large group? Analysis of group and sub-group spatial structure. Cognitive Science. 35(35). 15 indexed citations

13.

Kanda, Takayuki. (2013). People who Perceive Human-likeness in a Robot. Journal of the Robotics Society of Japan. 31(9). 860–863. 2 indexed citations

14.

Kanda, Takayuki, et al.. (2012). Giving Route Directions from Communication Robot : Gesture's Effect and Modeling of Utterance Timing. 95(10). 1818–1828. 1 indexed citations

15.

Satake, Satoru, et al.. (2010). Pointing to space: modeling of deictic interaction referring to regions. Human-Robot Interaction. 301–308. 29 indexed citations

16.

Ogawa, Kohei, Christoph Bartneck, Daisuke Sakamoto, et al.. (2009). Can an android persuade you?. TU/e Research Portal. 516–521. 2 indexed citations

17.

Sakamoto, et al.. (2007). Humanoid robots as a passive-social medium - a field experiment at a train station. Human-Robot Interaction. 137–144. 12 indexed citations

18.

Littlewort, Gwen, et al.. (2003). Towards Social Robots: Automatic Evaluation of Human-Robot Interaction by Facial Expression Classification. Neural Information Processing Systems. 16. 1563–1570. 3 indexed citations

19.

Bartlett, Marian Stewart, Gwen Littlewort, Ian Fasel, et al.. (2003). Towards social robots: automatic evaluation of human-robot interaction by face detection and expression classification. Neural Information Processing Systems. 1563–1570. 38 indexed citations

20.

Kanda, Takayuki, Hiroshi Ishiguro, Tetsuo Ono, et al.. (2002). Development of "Robovie" as platform of everyday-robot research. IEICE Transactions on Information and Systems. 85(4). 793. 8 indexed citations

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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