Ryutaro Tanno

18 papers and 480 indexed citations i.

About

Ryutaro Tanno is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ryutaro Tanno has authored 18 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ryutaro Tanno’s work include Machine Learning and Data Classification (6 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Ryutaro Tanno is often cited by papers focused on Machine Learning and Data Classification (6 papers), Artificial Intelligence in Healthcare and Education (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Ryutaro Tanno collaborates with scholars based in United Kingdom, United States and Denmark. Ryutaro Tanno's co-authors include Daniel C. Alexander, Nathan Silberman, Swami Sankaranarayanan, Ardavan Saeedi, Enrico Kaden, Aurobrata Ghosh, Antonio Criminisi, Stamatios N. Sotiropoulos, Francesco Grussu and Daniel E. Worrall and has published in prestigious journals such as Nature Medicine, Nature Communications and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Ryutaro Tanno i

Fields of papers citing papers by Ryutaro Tanno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ryutaro Tanno

Since Specialization
Citations

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