Akinori Okada

18 papers and 243 indexed citations i.

About

Akinori Okada is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Akinori Okada has authored 18 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Mathematics, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Social Psychology. Recurrent topics in Akinori Okada’s work include Tensor decomposition and applications (4 papers), Face and Expression Recognition (3 papers) and Sensory Analysis and Statistical Methods (2 papers). Akinori Okada is often cited by papers focused on Tensor decomposition and applications (4 papers), Face and Expression Recognition (3 papers) and Sensory Analysis and Statistical Methods (2 papers). Akinori Okada collaborates with scholars based in Japan, Canada and Italy. Akinori Okada's co-authors include Tamao Matsui, Giuseppe Bove, Donatella Vicari, Toshihiko Ishizaka, Motonori Nakamura, Yoshiko Takeuchi, Yusuke Mizutani, Michiaki Myotoku, Agus Subagyo and Kazuhisa Sueoka and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Psychology and Journal of Classification.

In The Last Decade

Co-authorship network of co-authors of Akinori Okada i

Fields of papers citing papers by Akinori Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akinori Okada

Since Specialization
Citations

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