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 44
- Medical Imaging Techniques and Applications 32
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- Lung Cancer Diagnosis and Treatment 29
- Cerebrovascular and Carotid Artery Diseases 11
- Co-authors
- Kunio Doi (10 shared papers)Kenta Ninomiya (21 shared papers)Shigehiko Katsuragawa (10 shared papers)Mazen Soufi (7 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)Physica Medica (6 papers)International Journal of Radiation Oncology*Biology*Physics (6 papers)Academic Radiology (5 papers)
- Partner nations
- JapanUnited StatesBelarus
In The Last Decade
Hidetaka Arimura
111 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Radiology, Nuclear Medicine and Imaging 819
- Health Informatics 43
- Radiation 181
- Pulmonary and Respiratory Medicine 547
- Neurology 136
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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 108 | |
| 2 | 2005 | 88 | |
| 3 | 2018 | 84 | |
| 4 | 2004 | 64 | |
| 5 | 2010 | 58 | |
| 6 | 2018 | 56 | |
| 7 | 2009 | 52 | |
| 8 | 2006 | 49 | |
| 9 | 2005 | 39 | |
| 10 | 2008 | 39 | |
| 11 | 2020 | 36 | |
| 12 | 2009 | 33 | |
| 13 | 2008 | 26 | |
| 14 | 2002 | 26 | |
| 15 | 2017 | 23 | |
| 16 | 2020 | 22 | |
| 17 | 2019 | 21 | |
| 18 | 2020 | 19 | |
| 19 | 2021 | 18 | |
| 20 | 2009 | 16 |
About Hidetaka Arimura
Hidetaka Arimura is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Radiation, Biomedical Engineering and Artificial Intelligence, having authored 123 papers that have together received 1.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (44 papers), Advanced Radiotherapy Techniques (39 papers), Medical Imaging Techniques and Applications (32 papers), Lung Cancer Diagnosis and Treatment (29 papers), AI in cancer detection (21 papers), Advanced X-ray and CT Imaging (19 papers), Medical Image Segmentation Techniques (16 papers) and Cerebrovascular and Carotid Artery Diseases (11 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (819 citations), Health Informatics (43 citations), Radiation (181 citations), Pulmonary and Respiratory Medicine (547 citations) and Neurology (136 citations). Hidetaka Arimura has collaborated with scholars based in Japan, United States and Belarus. Frequent co-authors include Kunio Doi, Kenta Ninomiya, Shigehiko Katsuragawa, Mazen Soufi, Yukunori Korogi, Yoshiyuki Shioyama, Yasuo Yamashita, Taiki Magome, Junji Shiraishi and Kenji Suzuki. Their work appears in journals such as Medical Physics, Journal of Radiation Research, Physica Medica, International Journal of Radiation Oncology*Biology*Physics 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.