Hidetaka Arimura
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Health Informatics top 5%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 34
- Medical Imaging Techniques and Applications 23
- Advanced Neuroimaging Techniques and Applications 8
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- Lung Cancer Diagnosis and Treatment 21
- Co-authors
- Kenta Ninomiya (21 shared papers)Shigehiko Katsuragawa (10 shared papers)Mazen Soufi (7 shared papers)Kunio Doi (9 shared papers)Yukunori Korogi (11 shared papers)Yoshiyuki Shioyama (28 shared papers)Yasuo Yamashita (13 shared papers)Taiki Magome (16 shared papers)
- Journals
- Medical Physics (11 papers)Journal of Radiation Research (7 papers)International Journal of Radiation Oncology*Biology*Physics (6 papers)Physica Medica (6 papers)Academic Radiology (5 papers)
- Partner nations
- JapanUnited StatesBelarus
In The Last Decade
Hidetaka Arimura
113 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 86
- Radiology, Nuclear Medicine and Imaging 652
- Health Informatics 40
- Radiation 147
- Neurology 118
- Pulmonary and Respiratory Medicine 373
Countries citing papers authored by Hidetaka Arimura
This map shows the geographic impact of Hidetaka Arimura'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 Hidetaka Arimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidetaka Arimura more than expected).
Fields of papers citing papers by Hidetaka Arimura
This network shows the impact of papers produced by Hidetaka Arimura. 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 Hidetaka Arimura. The network helps show where Hidetaka Arimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Hidetaka Arimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 108 | |
| 2 | 2005 | 88 | |
| 3 | 2018 | 84 | |
| 4 | 2004 | 65 | |
| 5 | 2010 | 58 | |
| 6 | 2018 | 56 | |
| 7 | 2009 | 52 | |
| 8 | 2006 | 49 | |
| 9 | 2008 | 40 | |
| 10 | 2005 | 39 | |
| 11 | 2020 | 38 | |
| 12 | 2009 | 32 | |
| 13 | 2002 | 26 | |
| 14 | 2008 | 26 | |
| 15 | 2020 | 25 | |
| 16 | 2017 | 23 | |
| 17 | 2019 | 22 | |
| 18 | 2020 | 19 | |
| 19 | 2021 | 18 | |
| 20 | 2020 | 17 |
About Hidetaka Arimura
Hidetaka Arimura is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Radiation, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 124 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (38 papers), Radiomics and Machine Learning in Medical Imaging (34 papers), Medical Imaging Techniques and Applications (23 papers), Lung Cancer Diagnosis and Treatment (21 papers), Advanced X-ray and CT Imaging (15 papers), Medical Image Segmentation Techniques (14 papers), AI in cancer detection (13 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (652 citations), Health Informatics (40 citations), Radiation (147 citations), Neurology (118 citations) and Pulmonary and Respiratory Medicine (373 citations). Hidetaka Arimura has collaborated with scholars based in Japan, United States and Belarus. Frequent co-authors include Kenta Ninomiya, Shigehiko Katsuragawa, Mazen Soufi, Kunio Doi, Yukunori Korogi, Yoshiyuki Shioyama, Yasuo Yamashita, Taiki Magome, Kenji Suzuki and Shusuke Sone. Their work appears in journals such as Medical Physics, Journal of Radiation Research, International Journal of Radiation Oncology*Biology*Physics, Physica Medica and Academic Radiology.
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.