Taiki Magome
- Radiation top 5%
- Advanced Radiotherapy Techniques 13
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- Medical Imaging Techniques and Applications 13
- Radiomics and Machine Learning in Medical Imaging 10
- Radiation Dose and Imaging 6
- Neurology top 10%
- Brain Tumor Detection and Classification 7
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- Medical Image Segmentation Techniques 6
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- Advanced X-ray and CT Imaging 10
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- Lung Cancer Diagnosis and Treatment 5
- Co-authors
- Hidetaka ArimuraYasuo YamashitaDaisuke YamamotoMasafumi OhkiYu MurakamiFukai ToyofukuYasuo YoshiokaMasahiko Oguchi
- Journals
- PLoS ONE (1 paper)International Journal of Radiation Oncology*Biology*Physics (6 papers)Medical Physics (2 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Taiki Magome
34 papers receiving 383 citations
Peers
Comparison fields: 5 of 69
- Radiation 120
- Radiology, Nuclear Medicine and Imaging 226
- Health Informatics 11
- Neurology 66
- Computer Vision and Pattern Recognition 65
Countries citing papers authored by Taiki Magome
This map shows the geographic impact of Taiki Magome'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 Taiki Magome with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taiki Magome more than expected).
Fields of papers citing papers by Taiki Magome
This network shows the impact of papers produced by Taiki Magome. 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 Taiki Magome. The network helps show where Taiki Magome may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Taiki Magome, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2020 | 23 | |
| 4 | 2020 | 60 | |
| 5 | 2017 | 15 | |
| 6 | 2016 | 33 | |
| 7 | 2016 | 16 | |
| 8 | 2016 | 5 | |
| 9 | 2015 | 10 | |
| 10 | 2014 | 4 | |
| 11 | 2014 | 5 | |
| 12 | 2014 | 9 | |
| 13 | 2013 | 3 | |
| 14 | 2012 | 5 | |
| 15 | 2012 | 3 | |
| 16 | 2011 | 13 | |
| 17 | 2010 | 58 | |
| 18 | 2010 | 14 | |
| 19 | 2010 | 4 | |
| 20 | Automated method for segmentation of white matter and gray matter regions with multiple sclerosis in 3T MR images(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009)) | 2009 | 1 |
About Taiki Magome
Taiki Magome is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 37 papers that have together received 394 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (13 papers), Advanced Radiotherapy Techniques (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Advanced X-ray and CT Imaging (10 papers), Brain Tumor Detection and Classification (7 papers), Radiation Dose and Imaging (6 papers), Medical Image Segmentation Techniques (6 papers) and Lung Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Radiation (120 citations), Radiology, Nuclear Medicine and Imaging (226 citations) and Health Informatics (11 citations). Taiki Magome has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Hidetaka Arimura, Yasuo Yamashita, Daisuke Yamamoto, Masafumi Ohki, Yu Murakami, Fukai Toyofuku, Yasuo Yoshioka, Masahiko Oguchi, Yoshiharu Higashida and Susanta Hui. Their work appears in journals such as PLoS ONE, International Journal of Radiation Oncology*Biology*Physics and Medical Physics.
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.