Colin B. Compas
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Ultrasound Imaging and Elastography 7
- Advanced MRI Techniques and Applications 5
- Medical Imaging Techniques and Applications 2
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- Medical Image Segmentation Techniques 7
- Co-authors
- Kaleb E Smith (1 shared paper)Ying Zhang (1 shared paper)Christopher Parisien (1 shared paper)Jiang Bian (1 shared paper)Cheryl Martin (1 shared paper)Tanja Magoč (1 shared paper)Duane A. Mitchell (1 shared paper)Anthony Costa (1 shared paper)
- Journals
- npj Digital Medicine (1 paper)IEEE Transactions on Medical Imaging (1 paper)Medical Image Analysis (1 paper)Scientific Reports (1 paper)Lecture notes in computer science (2 papers)
- Partner nations
- United StatesTaiwanAustralia
In The Last Decade
Colin B. Compas
15 papers receiving 652 citations
Colin B. Compas's Hit Papers
Peers
Comparison fields: 5 of 101
- Health Informatics 166
- Health Information Management 46
- Radiology, Nuclear Medicine and Imaging 157
- Artificial Intelligence 206
- Cardiology and Cardiovascular Medicine 91
Countries citing papers authored by Colin B. Compas
This map shows the geographic impact of Colin B. Compas'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 Colin B. Compas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colin B. Compas more than expected).
Fields of papers citing papers by Colin B. Compas
This network shows the impact of papers produced by Colin B. Compas. 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 Colin B. Compas. The network helps show where Colin B. Compas may publish in the future.
Co-authors
The 25 scholars most cited alongside Colin B. Compas, 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 | A large language model for electronic health records Hit paper breakdown → | 2022 | 474 |
| 2 | 2013 | 69 | |
| 3 | 2024 | 29 | |
| 4 | 2014 | 24 | |
| 5 | 2014 | 15 | |
| 6 | 2012 | 15 | |
| 7 | 2012 | 10 | |
| 8 | 2015 | 6 | |
| 9 | 2014 | 5 | |
| 10 | 2011 | 5 | |
| 11 | 2015 | 5 | |
| 12 | 2011 | 4 | |
| 13 | 2012 | 3 | |
| 14 | 2013 | 2 | |
| 15 | 2014 | 1 |
About Colin B. Compas
Colin B. Compas is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Molecular Biology, having authored 15 papers that have together received 667 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (7 papers), Medical Image Segmentation Techniques (7 papers), Advanced MRI Techniques and Applications (5 papers), Cardiac Valve Diseases and Treatments (5 papers), Elasticity and Material Modeling (4 papers), Cardiovascular Function and Risk Factors (2 papers), Medical Imaging Techniques and Applications (2 papers) and Photoacoustic and Ultrasonic Imaging (2 papers). The work is most often cited by research in Health Informatics (166 citations), Health Information Management (46 citations), Radiology, Nuclear Medicine and Imaging (157 citations), Artificial Intelligence (206 citations) and Cardiology and Cardiovascular Medicine (91 citations). Colin B. Compas has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Kaleb E Smith, Ying Zhang, Christopher Parisien, Jiang Bian, Cheryl Martin, Tanja Magoč, Duane A. Mitchell, Anthony Costa, Christopher A. Harle and Aokun Chen. Their work appears in journals such as npj Digital Medicine, IEEE Transactions on Medical Imaging, Medical Image Analysis, Scientific Reports and Lecture notes in computer science.
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.