Kanata Suzuki

23 papers and 257 indexed citations i.

About

Kanata Suzuki is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Kanata Suzuki has authored 23 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Control and Systems Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Kanata Suzuki’s work include Robot Manipulation and Learning (10 papers), Human Pose and Action Recognition (4 papers) and Multimodal Machine Learning Applications (3 papers). Kanata Suzuki is often cited by papers focused on Robot Manipulation and Learning (10 papers), Human Pose and Action Recognition (4 papers) and Multimodal Machine Learning Applications (3 papers). Kanata Suzuki collaborates with scholars based in Japan, United States and Hong Kong. Kanata Suzuki's co-authors include Tetsuya Ogata, Shigeki Sugano, Hiroki MORI, Motoko Yanagita, Hideki Yokoi, Hironori Haga, Yoshinori Tamada, Shusuke Hiragi, Sachiko Minamiguchi and Eiichiro Uchino and has published in prestigious journals such as Journal of Applied Physics, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Kanata Suzuki i

Fields of papers citing papers by Kanata Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kanata Suzuki

Since Specialization
Citations

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