Jun Toyama

22 papers and 202 indexed citations i.

About

Jun Toyama is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jun Toyama has authored 22 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Jun Toyama’s work include Video Surveillance and Tracking Methods (5 papers), Statistical Methods and Bayesian Inference (4 papers) and Gait Recognition and Analysis (3 papers). Jun Toyama is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Statistical Methods and Bayesian Inference (4 papers) and Gait Recognition and Analysis (3 papers). Jun Toyama collaborates with scholars based in Japan and China. Jun Toyama's co-authors include Mineichi Kudo, Masaru Shimbo, Hideyuki Imai, Shuai Tao, Yosuke Hirotsu, Yumiko Kakizaki, Toshiharu Tsutsui, Hiroaki Kobayashi, Yoshihiro Miyashita and Masao Omata and has published in prestigious journals such as The Journal of the Acoustical Society of America, Pattern Recognition and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Jun Toyama i

Fields of papers citing papers by Jun Toyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Toyama

Since Specialization
Citations

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