World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
40
Citations
9872
World Ranking
2000
National Ranking
127

Holger Rauhut publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Holger Rauhut sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 136 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Holger Rauhut D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Holger Rauhut sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 40 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Holger Rauhut is affiliated with RWTH Aachen University in Germany and specializes in research spanning computer science and engineering. Their contributions include work in several subfields such as artificial intelligence, computational mechanics, computer vision and pattern recognition, signal processing, and biomedical engineering.

The main topics covered in Rauhut's research include:

  • Sparse and Compressive Sensing Techniques
  • Image and Signal Denoising Methods
  • Blind Source Separation Techniques
  • Stochastic Gradient Optimization Techniques
  • Neural Networks and Applications
  • Photoacoustic and Ultrasonic Imaging
  • Gaussian Processes and Bayesian Inference

Their recent publications exemplify this range of interests. Selected papers include:

  • "Covariance estimation under one-bit quantization" (2022), published in The Annals of Statistics
  • "ADMM-DAD Net: A Deep Unfolding Network for Analysis Compressed Sensing" (2022), presented at ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • "Tensor theta norms and low rank recovery" (2020), published in Numerical Algorithms
  • "Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers" (2021), published in Information and Inference A Journal of the IMA
  • "Prediction of the disease course in Friedreich ataxia" (2022), published in Scientific Reports

Frequent coauthors in Rauhut's research network include Johannes Maly, Hung-Hsu Chou, Sjoerd Dirksen, Felix Krahmer, and Vicky Kouni.

They have published extensively in venues such as arXiv (Cornell University), Information and Inference A Journal of the IMA, Advances in Continuous and Discrete Models, Applied and Computational Harmonic Analysis, and SSRN Electronic Journal.

Holger Rauhut's body of work integrates theoretical and applied methods, particularly in the development and analysis of algorithms for signal processing, compressed sensing, and neural network learning. Their research contributes to the understanding and advancement of efficient methods in handling complex data and computational challenges within engineering and computer science contexts.

Best Publications

  • A Mathematical Introduction to Compressive Sensing

    Simon Foucart;Holger Rauhut

  • Compressed Sensing and Redundant Dictionaries

    H. Rauhut;K. Schnass;P. Vandergheynst

  • Average Case Analysis of Multichannel Sparse Recovery Using Convex Relaxation

    Y.C. Eldar;H. Rauhut

  • Compressive Estimation of Doubly Selective Channels in Multicarrier Systems: Leakage Effects and Sparsity-Enhancing Processing

    G. Taubock;F. Hlawatsch;D. Eiwen;H. Rauhut

  • Recovery Algorithms for Vector-Valued Data with Joint Sparsity Constraints

    Massimo Fornasier;Holger Rauhut

  • Low-rank Matrix Recovery via Iteratively Reweighted Least Squares Minimization

    Massimo Fornasier;Holger Rauhut;Rachel Ward

  • Iterative thresholding algorithms

    Massimo Fornasier;Holger Rauhut

  • Suprema of Chaos Processes and the Restricted Isometry Property

    Felix Krahmer;Shahar Mendelson;Holger Rauhut

  • Sparse Legendre expansions via l 1 -minimization

    Holger Rauhut;Rachel Ward

  • Restricted isometries for partial random circulant matrices

    Holger Rauhut;Justin K. Romberg;Joel A. Tropp

  • Atoms of All Channels, Unite! Average Case Analysis of Multi-Channel Sparse Recovery Using Greedy Algorithms

    Rémi Gribonval;Holger Rauhut;Karin Schnass;Pierre Vandergheynst

  • Random Sampling of Sparse Trigonometric Polynomials, II. Orthogonal Matching Pursuit versus Basis Pursuit

    Stefan Kunis;Holger Rauhut

  • Low rank matrix recovery from rank one measurements

    Richard Kueng;Holger Rauhut;Ulrich Terstiege

  • Continuous Frames, Function Spaces, and the Discretization Problem

    Massimo Fornasier;Holger Rauhut

  • Random Sampling of Sparse Trigonometric Polynomials

    Holger Rauhut

  • An Invitation to Compressive Sensing

    Simon Foucart;Holger Rauhut

  • Low rank tensor recovery via iterative hard thresholding

    Holger Rauhut;Reinhold Schneider;Zeljka Stojanac;Zeljka Stojanac

  • Interpolation via weighted ℓ1 minimization

    Holger Rauhut;Rachel A Ward

  • The Gelfand widths of l p -balls for 0<p≤1

    Simon Foucart;Alain Pajor;Holger Rauhut;Tino Ullrich

  • Circulant and Toeplitz Matrices in Compressed Sensing

    Holger Rauhut

  • The restricted isometry property for time-frequency structured random matrices

    Goetz E Pfander;Holger Rauhut;Joel A Tropp

  • Interpolation via weighted $l_1$ minimization

    Holger Rauhut;Rachel Ward

Frequent Co-Authors

Rachel Ward
Rachel Ward The University of Texas at Austin
Massimo Fornasier
Massimo Fornasier Technical University of Munich
Gitta Kutyniok
Gitta Kutyniok Ludwig-Maximilians-Universität München
Pierre Vandergheynst
Pierre Vandergheynst École Polytechnique Fédérale de Lausanne
Thomas Strohmer
Thomas Strohmer University of California, Davis
Shahar Mendelson
Shahar Mendelson Texas A&M University
Joel A. Tropp
Joel A. Tropp California Institute of Technology
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science

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