Kazushi Ikeda

150 papers and 1.5k indexed citations i.

About

Kazushi Ikeda is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Kazushi Ikeda has authored 150 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 30 papers in Computer Vision and Pattern Recognition and 16 papers in Cognitive Neuroscience. Recurrent topics in Kazushi Ikeda’s work include Face and Expression Recognition (14 papers), Neural Networks and Applications (12 papers) and Machine Learning and Algorithms (12 papers). Kazushi Ikeda is often cited by papers focused on Face and Expression Recognition (14 papers), Neural Networks and Applications (12 papers) and Machine Learning and Algorithms (12 papers). Kazushi Ikeda collaborates with scholars based in Japan, Philippines and United States. Kazushi Ikeda's co-authors include Takatomi Kubo, Mitsunobu Doi, Tomohiro Shibata, Yoshinori Kawabe, Akira Itô, Masamichi Kamihira, Gen Hattori, Tomoya Tamei, Hideaki Sakai and Michinori Toriyama and has published in prestigious journals such as The Journal of Cell Biology, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Kazushi Ikeda i

Fields of papers citing papers by Kazushi Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kazushi Ikeda

Since Specialization
Citations

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