W. Kerwin
Impact in
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- Cardiac Imaging and Diagnostics
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
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- Cerebrovascular and Carotid Artery Diseases
Papers in
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- Advanced MRI Techniques and Applications 6
- Cardiac Imaging and Diagnostics 3
- MRI in cancer diagnosis 2
- Radiomics and Machine Learning in Medical Imaging 2
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- Cerebrovascular and Carotid Artery Diseases 7
- Co-authors
- Chun Yuan (8 shared papers)Thomas S. Hatsukami (5 shared papers)Jerry L. Prince (4 shared papers)Nayak L. Polissar (2 shared papers)Annette Kampschulte (2 shared papers)Tobias Saam (2 shared papers)Gail P. Jarvik (1 shared paper)Minako Oikawa (1 shared paper)
- Journals
- Magnetic Resonance in Medicine (4 papers)International Journal of Imaging Systems and Technology (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Atherosclerosis (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
W. Kerwin
15 papers receiving 595 citations
Peers
Comparison fields: 5 of 64
- Radiology, Nuclear Medicine and Imaging 316
- Pulmonary and Respiratory Medicine 447
- Cardiology and Cardiovascular Medicine 270
- Epidemiology 142
- Neurology 45
Countries citing papers authored by W. Kerwin
This map shows the geographic impact of W. Kerwin'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 W. Kerwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Kerwin more than expected).
Fields of papers citing papers by W. Kerwin
This network shows the impact of papers produced by W. Kerwin. 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 W. Kerwin. The network helps show where W. Kerwin may publish in the future.
Co-authors
The 25 scholars most cited alongside W. Kerwin, 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 | 2005 | 171 | |
| 2 | 2008 | 152 | |
| 3 | 2004 | 144 | |
| 4 | 2000 | 42 | |
| 5 | 1999 | 24 | |
| 6 | 2002 | 21 | |
| 7 | 2003 | 20 | |
| 8 | 1999 | 15 | |
| 9 | 2006 | 8 | |
| 10 | 2000 | 4 | |
| 11 | 2002 | 2 | |
| 12 | 2012 | 1 | |
| 13 | 2004 | 1 | |
| 14 | 2005 | 1 | |
| 15 | 2011 | 1 |
About W. Kerwin
W. Kerwin is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 607 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (7 papers), Advanced MRI Techniques and Applications (6 papers), Medical Image Segmentation Techniques (4 papers), Cardiac Imaging and Diagnostics (3 papers), MRI in cancer diagnosis (2 papers), Advanced X-ray and CT Imaging (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cardiac Valve Diseases and Treatments (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (316 citations), Pulmonary and Respiratory Medicine (447 citations), Cardiology and Cardiovascular Medicine (270 citations), Epidemiology (142 citations) and Neurology (45 citations). W. Kerwin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Chun Yuan, Thomas S. Hatsukami, Jerry L. Prince, Nayak L. Polissar, Annette Kampschulte, Tobias Saam, Gail P. Jarvik, Minako Oikawa, Marina S. Ferguson and Baocheng Chu. Their work appears in journals such as Magnetic Resonance in Medicine, International Journal of Imaging Systems and Technology, IEEE Transactions on Biomedical Engineering, Arteriosclerosis Thrombosis and Vascular Biology and Atherosclerosis.
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.