Taro Kanno

40 papers and 316 indexed citations i.

About

Taro Kanno is a scholar working on Social Psychology, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Taro Kanno has authored 40 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Social Psychology, 15 papers in Artificial Intelligence and 5 papers in Sociology and Political Science. Recurrent topics in Taro Kanno’s work include Human-Automation Interaction and Safety (11 papers), Team Dynamics and Performance (8 papers) and Cognitive Science and Mapping (7 papers). Taro Kanno is often cited by papers focused on Human-Automation Interaction and Safety (11 papers), Team Dynamics and Performance (8 papers) and Cognitive Science and Mapping (7 papers). Taro Kanno collaborates with scholars based in Japan, China and Hong Kong. Taro Kanno's co-authors include K. Furuta, Hongfeng Wang, W.H. Ip, Wenjun Zhang, Junwei Wang, Keiichi Nakata, Jinliang Ding, Takeru K. Suzuki, S. Koike and Yutaka Kanno and has published in prestigious journals such as Sustainability, Ergonomics and International Journal of Human-Computer Studies.

In The Last Decade

Co-authorship network of co-authors of Taro Kanno i

Fields of papers citing papers by Taro Kanno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Taro Kanno

Since Specialization
Citations

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

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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2025