Rick Chartrand

6.0k total citations · 4 hit papers
44 papers, 4.0k citations indexed

About

Rick Chartrand is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rick Chartrand has authored 44 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Mechanics, 14 papers in Computer Vision and Pattern Recognition and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rick Chartrand's work include Sparse and Compressive Sensing Techniques (23 papers), Medical Imaging Techniques and Applications (12 papers) and Image and Signal Denoising Methods (10 papers). Rick Chartrand is often cited by papers focused on Sparse and Compressive Sensing Techniques (23 papers), Medical Imaging Techniques and Applications (12 papers) and Image and Signal Denoising Methods (10 papers). Rick Chartrand collaborates with scholars based in United States, France and Canada. Rick Chartrand's co-authors include Wotao Yin, Валентина Станева, Thomas J. Asaki, Triet Le, Brendt Wohlberg, Xiaochuan Pan, Emil Y. Sidky, Rayan Saab, Özgür Yılmaz and Erik M. Bollt and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Geoscience and Remote Sensing Letters and IEEE Signal Processing Letters.

In The Last Decade

Rick Chartrand

43 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exact Reconstruction of Sparse Signals via Nonconvex Minimization

2007 893 citations Rick Chartrand IEEE Signal Processing Letters profile →
Iteratively reweighted algorithms for compressive sensing

2008 847 citations Rick Chartrand et al. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing profile →
Restricted isometry properties and nonconvex compressive sensing

2008 429 citations Rick Chartrand, Валентина Станева profile →
Numerical Differentiation of Noisy, Nonsmooth Data

2011 282 citations Rick Chartrand OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Rick Chartrand United States	20	2.5k	1.3k	1.2k	693	584	44	4.0k
Misha E. Kilmer United States	26	1.9k 0.8×	1.7k 1.3×	1.2k 1.0×	1.3k 1.9×	385 0.7×	65	5.0k
Gitta Kutyniok Germany	29	2.6k 1.0×	2.1k 1.5×	1.2k 1.0×	551 0.8×	1.1k 1.8×	129	5.9k
Jean‐Christophe Pesquet France	34	1.8k 0.7×	1.8k 1.3×	582 0.5×	394 0.6×	625 1.1×	207	4.2k
Thierry Blu Hong Kong	25	1.5k 0.6×	1.8k 1.3×	717 0.6×	478 0.7×	880 1.5×	133	4.0k
Holger Rauhut Germany	26	2.8k 1.1×	985 0.7×	1.3k 1.1×	297 0.4×	1.1k 1.8×	73	4.2k
Gabriel Peyré France	38	1.9k 0.7×	2.4k 1.8×	605 0.5×	455 0.7×	592 1.0×	104	6.1k
Brendt Wohlberg United States	29	1.3k 0.5×	2.0k 1.5×	704 0.6×	494 0.7×	323 0.6×	137	3.7k
Thomas Blumensath United Kingdom	24	3.9k 1.5×	1.6k 1.2×	2.0k 1.7×	689 1.0×	1.5k 2.5×	70	6.0k
Rebecca Willett United States	30	1.6k 0.6×	1.4k 1.0×	1.5k 1.2×	482 0.7×	288 0.5×	158	4.5k
Michael Zibulevsky Israel	28	1.7k 0.7×	1.6k 1.2×	667 0.6×	402 0.6×	1.7k 3.0×	89	4.3k

Countries citing papers authored by Rick Chartrand

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Rick Chartrand

This figure shows the co-authorship network connecting the top 25 collaborators of Rick Chartrand. A scholar is included among the top collaborators of Rick Chartrand based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rick Chartrand. Rick Chartrand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chartrand, Rick, et al.. (2019). Exploiting Sparsity for Phase Unwrapping. 258–261. 1 indexed citations

Skillman, Samuel W., et al.. (2017). A Platform for Scalable Satellite and Geospatial Data Analysis. AGUFM. 2017. 3 indexed citations

Kontgis, Caitlin, et al.. (2017). Leveraging Sentinel-1 time-series data for mapping agricultural land cover and land use in the tropics. 1–4. 12 indexed citations

Warren, Michael S., et al.. (2016). Data-Intensive Supercomputing in the Cloud: Global Analytics for Satellite Imagery. 24–31. 7 indexed citations

Warren, Michael S., et al.. (2016). Building a living atlas of the Earth in the cloud. 81. 1273–1277. 3 indexed citations

Warren, Michael S., Steven P. Brumby, Samuel W. Skillman, et al.. (2015). Seeing the Earth in the Cloud: Processing one petabyte of satellite imagery in one day. 1–12. 17 indexed citations

Sidky, Emil Y., Rick Chartrand, John M. Boone, & Xiaochuan Pan. (2014). Constrained <formula formulatype="inline"><tex Notation="TeX">${\rm T}p{\rm V}$</tex> </formula> Minimization for Enhanced Exploitation of Gradient Sparsity: Application to CT Image Reconstruction. IEEE Journal of Translational Engineering in Health and Medicine. 2. 1–18. 66 indexed citations

Voronin, Sergey & Rick Chartrand. (2013). A new generalized thresholding algorithm for inverse problems with sparsity constraints. 1636–1640. 27 indexed citations

Chartrand, Rick. (2013). Generalized shrinkage and penalty functions. 616–616. 9 indexed citations

10.

Wohlberg, Brendt, Rick Chartrand, & James Theiler. (2012). Local principal component pursuit for nonlinear datasets. 3925–3928. 31 indexed citations

11.

Chartrand, Rick. (2011). Numerical Differentiation of Noisy, Nonsmooth Data. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2011. 1–11. 282 indexed citations breakdown →

12.

Chartrand, Rick, et al.. (2009). A Gradient Descent Solution to the Monge-Kantorovich Problem. 33 indexed citations

13.

Chartrand, Rick. (2009). Fast algorithms for nonconvex compressive sensing: MRI reconstruction from very few data. Zenodo (CERN European Organization for Nuclear Research). 262–265. 212 indexed citations

14.

Bollt, Erik M., et al.. (2008). Graduated adaptive image denoising: local compromise between total variation and isotropic diffusion. Advances in Computational Mathematics. 31(1-3). 61–85. 70 indexed citations

15.

Saab, Rayan, Rick Chartrand, & Özgür Yılmaz. (2008). Stable sparse approximations via nonconvex optimization. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 3885–3888. 114 indexed citations

16.

Chartrand, Rick & Валентина Станева. (2008). Total variation regularisation of images corrupted by non-Gaussian noise using a quasi-Newton method. IET Image Processing. 2(6). 295–303. 22 indexed citations

17.

Chartrand, Rick. (2008). Nonconvex compressive sensing and reconstruction of gradient-sparse images: Random vs. tomographic Fourier sampling. Zenodo (CERN European Organization for Nuclear Research). 14. 2624–2627. 14 indexed citations

18.

Le, Triet, Rick Chartrand, & Thomas J. Asaki. (2007). A Variational Approach to Reconstructing Images Corrupted by Poisson Noise. Journal of Mathematical Imaging and Vision. 27(3). 257–263. 292 indexed citations

19.

Chartrand, Rick. (2007). Exact Reconstruction of Sparse Signals via Nonconvex Minimization. IEEE Signal Processing Letters. 14(10). 707–710. 893 indexed citations breakdown →

20.

Chartrand, Rick. (2003). Multipliers and Carleson Measures for $ D(\mu) $. Integral Equations and Operator Theory. 45(3). 309–318. 14 indexed citations

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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