Chisako Muramatsu
- Radiology, Nuclear Medicine and Imaging top 1%
- Oral Surgery top 1%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 2%
- Ophthalmology top 1%
- Co-authors
- Hiroshi FujitaTakeshi HaraAkitoshi KatsumataYuji HatanakaXiangrong ZhouTatsuro HayashiAkira SawadaTetsuya Yamamoto
- Topics
- AI in cancer detection (30 papers)Retinal Imaging and Analysis (28 papers)Radiomics and Machine Learning in Medical Imaging (23 papers)
- Partner nations
- JapanUnited StatesSlovenia
In The Last Decade
Chisako Muramatsu
86 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Radiology, Nuclear Medicine and Imaging 1.0k
- Oral Surgery 627
- Computer Vision and Pattern Recognition 563
- Artificial Intelligence 542
- Ophthalmology 516
Countries citing papers authored by Chisako Muramatsu
This map shows the geographic impact of Chisako Muramatsu'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 Chisako Muramatsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chisako Muramatsu more than expected).
Fields of papers citing papers by Chisako Muramatsu
This network shows the impact of papers produced by Chisako Muramatsu. 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 Chisako Muramatsu. The network helps show where Chisako Muramatsu may publish in the future.
Co-authorship network of co-authors of Chisako Muramatsu
This figure shows the co-authorship network connecting the top 25 collaborators of Chisako Muramatsu. A scholar is included among the top collaborators of Chisako Muramatsu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chisako Muramatsu. Chisako Muramatsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 44 | |
| 3 | 21 | |
| 4 | 86 | |
| 5 | 136 | |
| 6 | 11 | |
| 7 | Similar image search of breast masses by combination of mammograms and ultrasound images -- Study of psychophysical similarity measure based on multi-dimensional scaling | 1 |
| 8 | Automatic Microaneurysm Detection in Retinal Fundus Images by Density Gradient Vector Concentration | 1 |
| 9 | 1 | |
| 10 | Improvement of CAD scheme for detection of lacunar infarcts in MR images using AdaBoost template matching | 0 |
| 11 | 7 | |
| 12 | 8 | |
| 13 | 19 | |
| 14 | 19 | |
| 15 | 33 | |
| 16 | 41 | |
| 17 | 96 | |
| 18 | 17 | |
| 19 | 12 | |
| 20 | 29 |
About Chisako Muramatsu
Chisako Muramatsu is a scholar working on Oral Surgery, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 93 papers that have together received 2.0k indexed citations. Recurring topics across this work include AI in cancer detection (30 papers), Retinal Imaging and Analysis (28 papers) and Radiomics and Machine Learning in Medical Imaging (23 papers). The work is most often cited by research in Oral Surgery (627 citations), Ophthalmology (516 citations) and Health Informatics (64 citations). Chisako Muramatsu has collaborated with scholars based in Japan, United States and Slovenia. Frequent co-authors include Hiroshi Fujita, Takeshi Hara, Akitoshi Katsumata, Yuji Hatanaka, Xiangrong Zhou, Tatsuro Hayashi, Akira Sawada, Tetsuya Yamamoto, Yoshiko Ariji and Eiichiro Ariji. Their work appears in journals such as Circulation Research, Medical Physics and Advances in experimental medicine and biology.
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.