Kazunori Okada

56 papers and 1.0k indexed citations i.

About

Kazunori Okada is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, Kazunori Okada has authored 56 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 13 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Kazunori Okada’s work include Medical Image Segmentation Techniques (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and AI in cancer detection (8 papers). Kazunori Okada is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and AI in cancer detection (8 papers). Kazunori Okada collaborates with scholars based in United States, Japan and Germany. Kazunori Okada's co-authors include Haibin Ling, Marius George Linguraru, Dorin Comaniciu, Ayman El–Baz, Kenji Suzuki, Garth M. Beache, Georgy Gimel’farb, Behnoush Abdollahi, Ahmed Elnakib and Ahmed Soliman and has published in prestigious journals such as PLoS ONE, NeuroImage and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

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

Fields of papers citing papers by Kazunori Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kazunori Okada

Since Specialization
Citations

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