Takeshi Hara

304 papers and 4.8k indexed citations i.

About

Takeshi Hara is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Takeshi Hara has authored 304 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Radiology, Nuclear Medicine and Imaging, 69 papers in Computer Vision and Pattern Recognition and 57 papers in Artificial Intelligence. Recurrent topics in Takeshi Hara’s work include Medical Image Segmentation Techniques (60 papers), AI in cancer detection (54 papers) and Radiomics and Machine Learning in Medical Imaging (48 papers). Takeshi Hara is often cited by papers focused on Medical Image Segmentation Techniques (60 papers), AI in cancer detection (54 papers) and Radiomics and Machine Learning in Medical Imaging (48 papers). Takeshi Hara collaborates with scholars based in Japan, United States and China. Takeshi Hara's co-authors include Hiroshi Fujita, Chisako Muramatsu, Xiangrong Zhou, Hisashi Tsurumi, Hisataka Moriwaki, Yuji Hatanaka, Tatsuro Hayashi, Masahito Shimizu, Takeo Ishigaki and Shigeki Itoh and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Takeshi Hara i

Fields of papers citing papers by Takeshi Hara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Takeshi Hara

Since Specialization
Citations

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