Rick Chartrand
- Computational Mechanics top 0.2%
- Sparse and Compressive Sensing Techniques 23
- Computational Mathematics top 2%
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- Image and Signal Denoising Methods 10
- Signal Processing top 1%
- Mathematical Physics top 2%
- Numerical methods in inverse problems 7
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- Medical Imaging Techniques and Applications 12
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- Remote Sensing in Agriculture 6
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- Microwave Imaging and Scattering Analysis 5
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- Seismic Imaging and Inversion Techniques 3
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- Distributed and Parallel Computing Systems 3
- Co-authors
- Wotao YinВалентина СтаневаThomas J. AsakiTriet LeBrendt WohlbergEmil Y. SidkyXiaochuan PanRayan Saab
- Journals
- Inverse Problems (2 papers)IEEE Journal of Selected Topics in Signal Processing (1 paper)Integral Equations and Operator Theory (1 paper)
- Partner nations
- United StatesPortugalCanada
In The Last Decade
Rick Chartrand
43 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Computational Mechanics 2.5k
- Computational Mathematics 45
- Computer Vision and Pattern Recognition 1.3k
- Signal Processing 584
- Mathematical Physics 329
Countries citing papers authored by Rick Chartrand
This map shows the geographic impact of Rick Chartrand'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 Rick Chartrand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rick Chartrand more than expected).
Fields of papers citing papers by Rick Chartrand
This network shows the impact of papers produced by Rick Chartrand. 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 Rick Chartrand. The network helps show where Rick Chartrand may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rick Chartrand, 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 | 2019 | 1 | |
| 2 | A Platform for Scalable Satellite and Geospatial Data Analysis | 2017 | 3 |
| 3 | 2017 | 12 | |
| 4 | 2016 | 7 | |
| 5 | 2015 | 17 | |
| 6 | 2014 | 66 | |
| 7 | 2013 | 9 | |
| 8 | 2013 | 27 | |
| 9 | 2012 | 31 | |
| 10 | Numerical Differentiation of Noisy, Nonsmooth Databreakdown → | 2011 | 282 |
| 11 | 2009 | 212 | |
| 12 | A Gradient Descent Solution to the Monge-Kantorovich Problem | 2009 | 33 |
| 13 | 2008 | 70 | |
| 14 | 2008 | 114 | |
| 15 | 2008 | 14 | |
| 16 | 2008 | 16 | |
| 17 | 2008 | 22 | |
| 18 | 2007 | 292 | |
| 19 | Exact Reconstruction of Sparse Signals via Nonconvex Minimizationbreakdown → | 2007 | 893 |
| 20 | 2003 | 14 |
About Rick Chartrand
Rick Chartrand is a scholar working on Computational Mechanics, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 4.0k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (23 papers), Medical Imaging Techniques and Applications (12 papers), Image and Signal Denoising Methods (10 papers), Numerical methods in inverse problems (7 papers), Remote Sensing in Agriculture (6 papers), Microwave Imaging and Scattering Analysis (5 papers), Seismic Imaging and Inversion Techniques (3 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Computational Mechanics (2.5k citations), Computational Mathematics (45 citations) and Computer Vision and Pattern Recognition (1.3k citations). Rick Chartrand has collaborated with scholars based in United States, Portugal and Canada. Frequent co-authors include Wotao Yin, Валентина Станева, Thomas J. Asaki, Triet Le, Brendt Wohlberg, Emil Y. Sidky, Xiaochuan Pan, Rayan Saab, Özgür Yılmaz and Erik M. Bollt. Their work appears in journals such as Inverse Problems, IEEE Journal of Selected Topics in Signal Processing, Integral Equations and Operator Theory, IEEE Geoscience and Remote Sensing Letters and Journal of Mathematical Imaging and Vision.
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.