Jun Okamoto

64 papers and 437 indexed citations i.

About

Jun Okamoto is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Jun Okamoto has authored 64 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 20 papers in Biomedical Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Jun Okamoto’s work include Soft Robotics and Applications (14 papers), Image and Video Quality Assessment (13 papers) and Natural Language Processing Techniques (6 papers). Jun Okamoto is often cited by papers focused on Soft Robotics and Applications (14 papers), Image and Video Quality Assessment (13 papers) and Natural Language Processing Techniques (6 papers). Jun Okamoto collaborates with scholars based in Japan, Brazil and United States. Jun Okamoto's co-authors include Masakatsu G. Fujie, Valdir Grassi, Marcos de Sales Guerra Tsuzuki, Flávio Buiochi, Claudio Camerini, Júlio C. Adamowski, Vijay Kumar, Hideo Yamamoto, Kazutaka Toyoda and Hiroshi Iseki and has published in prestigious journals such as Neurosurgery, Engineering Geology and Cognitive Science.

In The Last Decade

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

Fields of papers citing papers by Jun Okamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Okamoto

Since Specialization
Citations

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