Ryohei Nakayama

53 papers and 462 indexed citations i.

About

Ryohei Nakayama is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ryohei Nakayama has authored 53 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Artificial Intelligence and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ryohei Nakayama’s work include AI in cancer detection (21 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Breast Lesions and Carcinomas (8 papers). Ryohei Nakayama is often cited by papers focused on AI in cancer detection (21 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Breast Lesions and Carcinomas (8 papers). Ryohei Nakayama collaborates with scholars based in Japan, United States and Australia. Ryohei Nakayama's co-authors include Kiyoshi Namba, G. P. Buckley, Yoshikazu Uchiyama, Satoshi Ito, Koji Yamamoto, Isamu Motoyoshi, Ryo Watanabe, Kunio Doi, Hajime Sakuma and Masaki Ishida and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and Radiology.

In The Last Decade

Co-authorship network of co-authors of Ryohei Nakayama i

Fields of papers citing papers by Ryohei Nakayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ryohei Nakayama

Since Specialization
Citations

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