C. Sprouse
Impact in
- Artificial Intelligence top 10%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
-
- Quantum-Dot Cellular Automata
Papers in
-
- Cardiac Valve Diseases and Treatments 7
- Cardiovascular Function and Risk Factors 5
-
- Elasticity and Material Modeling 4
- Co-authors
- B. D. Clader (2 shared papers)B. C. Jacobs (2 shared papers)Philippe Burlina (9 shared papers)Theodore P. Abraham (4 shared papers)Aurélio Pinheiro (1 shared paper)David D. Yuh (2 shared papers)Daniel DeMenthon (2 shared papers)Bernd Ammann (1 shared paper)
- Journals
- Ultrasound in Medicine & Biology (3 papers)Physical Review Letters (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)Annals of Global Analysis and Geometry (1 paper)PubMed (4 papers)
- Partner nations
- United StatesFranceIndia
In The Last Decade
C. Sprouse
12 papers receiving 214 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 157
- Computational Theory and Mathematics 55
- Computational Mathematics 2
- Cardiology and Cardiovascular Medicine 42
- Hardware and Architecture 12
Countries citing papers authored by C. Sprouse
This map shows the geographic impact of C. Sprouse'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 C. Sprouse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Sprouse more than expected).
Fields of papers citing papers by C. Sprouse
This network shows the impact of papers produced by C. Sprouse. 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 C. Sprouse. The network helps show where C. Sprouse may publish in the future.
Co-authors
The 13 scholars most cited alongside C. Sprouse, 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 | 2013 | 164 | |
| 2 | 2012 | 13 | |
| 3 | 2009 | 9 | |
| 4 | 2013 | 8 | |
| 5 | 2013 | 6 | |
| 6 | 2012 | 5 | |
| 7 | 2011 | 5 | |
| 8 | 2013 | 4 | |
| 9 | 2006 | 4 | |
| 10 | 2011 | 2 | |
| 11 | 2013 | 2 | |
| 12 | 2012 | 1 |
About C. Sprouse
C. Sprouse is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Surgery and Mathematical Physics, having authored 12 papers that have together received 223 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (7 papers), Cardiovascular Function and Risk Factors (5 papers), Elasticity and Material Modeling (4 papers), Advanced MRI Techniques and Applications (3 papers), Cardiac and Coronary Surgery Techniques (2 papers), Quantum Computing Algorithms and Architecture (1 paper), Medical Imaging Techniques and Applications (1 paper) and Geometric Analysis and Curvature Flows (1 paper). The work is most often cited by research in Artificial Intelligence (157 citations), Computational Theory and Mathematics (55 citations), Computational Mathematics (2 citations), Cardiology and Cardiovascular Medicine (42 citations) and Hardware and Architecture (12 citations). C. Sprouse has collaborated with scholars based in United States, France and India. Frequent co-authors include B. D. Clader, B. C. Jacobs, Philippe Burlina, Theodore P. Abraham, Aurélio Pinheiro, David D. Yuh, Daniel DeMenthon, Bernd Ammann, James S. Gammie and Saurabh Vyas. Their work appears in journals such as Ultrasound in Medicine & Biology, Physical Review Letters, IEEE Transactions on Biomedical Engineering, Annals of Global Analysis and Geometry and PubMed.
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.