Holger Rauhut

Computational Mechanics · 2004–2013

A researcher in the Science corpus: 9 papers; trusts 82 researchers and is trusted by 62 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 81 citations into it; #646 of 10,001 by trust here, #991 by citations
• Applied Mathematics — 55 citations into it; #832 of 7,620 by trust here, #1,149 by citations
• Signal Processing — 39 citations into it; #737 of 7,572 by trust here, #1,170 by citations
• Computer Vision and Pattern Recognition — 37 citations into it; #13,142 of 21,575 by trust here, #16,787 by citations
• Mathematical Physics — 27 citations into it; #2,720 of 8,562 by trust here, #6,178 by citations
• Biomedical Engineering — 22 citations into it; #778 of 10,734 by trust here, #4,781 by citations
• Statistics and Probability — 18 citations into it
• Statistical and Nonlinear Physics — 14 citations into it

Whom Holger Rauhut trusts overall

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

1. Joel A. Tropp
2. E.J. Candes
3. Ingrid Daubechies
4. David L. Donoho
5. Michel Ledoux
6. Justin K. Romberg
7. Karlheinz Gröchenig
8. Hans Triebel
9. Massimo Fornasier
10. Rajendra Bhatia

Who trusts Holger Rauhut overall

1. Tino Ullrich
2. Yiyu Liang
3. Massimo Fornasier
4. Yonina C. Eldar
5. Felix Krahmer
6. E.J. Candes
7. Marco F. Duarte
8. Yoshihiro Sawano
9. Zhilin Zhang
10. Julio Martin Duarte-Carvajalino

Papers from Holger Rauhut's perspective

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

1. Decoding by linear programming
2. Stable signal recovery from incomplete and inaccurate measurements
3. Regression Shrinkage and Selection via the Lasso
4. Atomic Decomposition by Basis Pursuit
5. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
6. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
7. For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. A wavelet tour of signal processing
10. Greed is good: algorithmic results for sparse approximation (IEEE Transactions on Information Theory)

Their papers

• Compressed Sensing and Redundant Dictionaries (2007) — 577 citations
• Average Case Analysis of Multichannel Sparse Recovery Using Convex Relaxation (2009) — 338 citations
• A Mathematical Introduction to Compressive Sensing (2013) — 2,537 citations
• Compressive Sensing with structured random matrices (2012) — 311 citations
• Generalized coorbit space theory and inhomogeneous function spaces of Besov-Lizorkin-Triebel type (2010) — 85 citations
• Generalized coorbit theory, Banach frames, and the relation to α‐modulation spaces (2008) — 78 citations
• Coorbit space theory for quasi-Banach spaces (2005) — 62 citations
• Random Sampling of Sparse Trigonometric Polynomials (2005) — 177 citations
• Continuous Frames, Function Spaces, and the Discretization Problem (2004) — 162 citations