C. Sprouse

446 citations
14 papers · 304 · h-index 7

Impact in

Papers in

C. Sprouse

14 papers receiving 294 citations

Peers

C. Sprouse
Comparison fields: 5 of 38
  • Artificial Intelligence 173
  • Cardiology and Cardiovascular Medicine 92
  • Computational Theory and Mathematics 61
  • Computational Mathematics 2
  • Hardware and Architecture 12
Replace Steven B. Gillispie with:
Steven B. Gillispie United States
Michiyoshi Kuwahara Japan
Oswin Krause Denmark
Michele Pagani France
Ramesh C. Joshi India
Mahmoud Ismail United States
Eric Kerfoot United Kingdom
Yong‐Yeon Jo South Korea
B. Martins Denmark
Wei Zha United States
C. Sprouse relative to Steven B. Gillispie United States Steven B. Gillispie's profile →
Citations per field
00.5×7.3×
Steven B. Gillispie · 1×
Citations per year

Countries citing papers authored by C. Sprouse

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 15 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.

Border = papers with C. Sprouse Line = papers co-authored together C. Sprouse links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2013182
2 201045
3 200913
4 201213
5 201111
6 20139
7 20137
8 20115
9 20125
10 20064
11 20134
12 20113
13 20132
14 20121

About C. Sprouse

C. Sprouse is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Surgery, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 304 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (9 papers), Cardiovascular Function and Risk Factors (5 papers), Elasticity and Material Modeling (5 papers), Cardiac and Coronary Surgery Techniques (3 papers), Advanced MRI Techniques and Applications (3 papers), Soft Robotics and Applications (2 papers), Medical Image Segmentation Techniques (2 papers) and Advanced Operator Algebra Research (1 paper). The work is most often cited by research in Artificial Intelligence (173 citations), Cardiology and Cardiovascular Medicine (92 citations), Computational Theory and Mathematics (61 citations), Computational Mathematics (2 citations) and Hardware and Architecture (12 citations). C. Sprouse has collaborated with scholars based in United States, France and Russia. Frequent co-authors include B. C. Jacobs, B. D. Clader, Philippe Burlina, Theodore P. Abraham, David D. Yuh, Radford Juang, Daniel DeMenthon, Francisco Contijoch, Elliot R. McVeigh and Anne Jorstad. 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 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.

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