Mineichi Kudo

77 papers and 1.2k indexed citations i.

About

Mineichi Kudo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Mineichi Kudo has authored 77 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 37 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Mineichi Kudo’s work include Face and Expression Recognition (16 papers), Video Surveillance and Tracking Methods (9 papers) and Image Retrieval and Classification Techniques (8 papers). Mineichi Kudo is often cited by papers focused on Face and Expression Recognition (16 papers), Video Surveillance and Tracking Methods (9 papers) and Image Retrieval and Classification Techniques (8 papers). Mineichi Kudo collaborates with scholars based in Japan, China and Czechia. Mineichi Kudo's co-authors include Jack Sklansky, Masaru Shimbo, Jun Toyama, Ichigaku Takigawa, Shuai Tao, Atsuyoshi Nakamura, Guoliang Lu, Hideyuki Imai, Lu Sun and Shen Q. Pan and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Signal Processing and Sensors.

In The Last Decade

Co-authorship network of co-authors of Mineichi Kudo i

Fields of papers citing papers by Mineichi Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mineichi Kudo

Since Specialization
Citations

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