Rick Chartrand

Computational Mechanics · 2007–2011

A researcher in the Science corpus: 6 papers; trusts 27 researchers and is trusted by 107 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 32 citations into it; #196 of 10,001 by trust here, #842 by citations
• Computer Vision and Pattern Recognition — 15 citations into it; #4,848 of 21,575 by trust here, #13,815 by citations
• Biomedical Engineering — 11 citations into it; #262 of 10,734 by trust here, #3,366 by citations
• Radiology, Nuclear Medicine and Imaging — 10 citations into it; #42 of 3,265 by trust here, #745 by citations
• Applied Mathematics — 9 citations into it; #913 of 7,620 by trust here, #3,100 by citations
• Computer Networks and Communications — 5 citations into it

Whom Rick Chartrand trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. E.J. Candes
2. Bhaskar D. Rao
3. Terence Tao
4. David L. Donoho
5. Kenneth Kreutz-Delgado
6. Justin K. Romberg
7. Stanley J. Osher
8. Scott Shaobing Chen
9. Joel A. Tropp
10. Michael Lustig

Who trusts Rick Chartrand overall

1. Steven L. Brunton
2. Saiprasad Ravishankar
3. Wotao Yin
4. Wangmeng Zuo
5. Hayden Schaeffer
6. J. Nathan Kutz
7. Karthika Mohan
8. Dilip Krishnan
9. Shiqian Ma
10. Joshua L. Proctor

Papers from Rick Chartrand's perspective

Ordered by how strongly the researchers Rick Chartrand trusts endorse each paper. Same corpus, a different order for every researcher.

1. Atomic Decomposition by Basis Pursuit
2. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
3. Stable signal recovery from incomplete and inaccurate measurements
4. Decoding by linear programming
5. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
6. Regression Shrinkage and Selection via the Lasso
7. Uncertainty principles and ideal atomic decomposition
8. Sparse MRI: The application of compressed sensing for rapid MR imaging
9. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (IEEE Journal on Selected Topics in Signal Processing)
10. Sparse Approximate Solutions to Linear Systems

Their papers

• Iteratively reweighted algorithms for compressive sensing (2008) — 1,367 citations
• Restricted isometry properties and nonconvex compressive sensing (2007) — 677 citations
• Fast algorithms for nonconvex compressive sensing: MRI reconstruction from very few data (2009) — 331 citations
• Numerical Differentiation of Noisy, Nonsmooth Data (2011) — 495 citations
• A Variational Approach to Reconstructing Images Corrupted by Poisson Noise (2007) — 432 citations
• Exact Reconstruction of Sparse Signals via Nonconvex Minimization (2007) — 1,372 citations