World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
42
Citations
10326
World Ranking
1758
National Ranking
754

Shahar Mendelson 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 Shahar Mendelson 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: 133 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Shahar Mendelson 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 Shahar Mendelson 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: 42 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Shahar Mendelson is affiliated with the Australian National University in Australia and has contributed extensively to the fields of mathematics and computer science. Their research encompasses a broad spectrum of topics, primarily focusing on mathematical and statistical methods with applications in computer science.

The main fields of study for Mendelson include:

  • Mathematics
  • Computer Science

Their work is further specialized into several subfields:

  • Statistics and Probability
  • Applied Mathematics
  • Artificial Intelligence
  • Computational Mechanics
  • Signal Processing

Mendelson's research covers a range of main topics such as:

  • Point processes and geometric inequalities
  • Sparse and Compressive Sensing Techniques
  • Statistical Methods and Inference
  • Random Matrices and Applications
  • Markov Chains and Monte Carlo Methods
  • Bayesian Methods and Mixture Models
  • Blind Source Separation Techniques

They have produced multiple publications across various venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Advances in Mathematics
  • The Annals of Statistics
  • Journal of the European Mathematical Society
  • The Annals of Applied Probability

Selected recent papers by Shahar Mendelson include:

  • Robust covariance estimation under L4-L2 norm equivalence, 2020, The Annals of Statistics
  • Robust multivariate mean estimation: The optimality of trimmed mean, 2021, The Annals of Statistics
  • Non-Gaussian hyperplane tessellations and robust one-bit compressed sensing, 2021, Journal of the European Mathematical Society
  • Robust one-bit compressed sensing with partial circulant matrices, 2023, The Annals of Applied Probability
  • Approximating L unit balls via random sampling, 2021, Advances in Mathematics

Frequent co-authors in Mendelson's work include:

  • Daniel Bartl
  • Sjoerd Dirksen
  • Gábor Lugosi
  • Alexander Stollenwerk
  • Nikita Zhivotovskiy

Best Publications

  • Rademacher and gaussian complexities: risk bounds and structural results

    Peter L. Bartlett;Shahar Mendelson

  • Local Rademacher complexities

    Peter L. Bartlett;Olivier Bousquet;Shahar Mendelson

  • Uniform Uncertainty Principle for Bernoulli and Subgaussian Ensembles

    Shahar Mendelson;Shahar Mendelson;Alain Pajor;Nicole Tomczak-Jaegermann

  • Learning without Concentration

    Shahar Mendelson

  • Empirical minimization

    Peter L. Bartlett;Shahar Mendelson

  • Suprema of Chaos Processes and the Restricted Isometry Property

    Felix Krahmer;Shahar Mendelson;Holger Rauhut

  • A few notes on statistical learning theory

    Shahar Mendelson

  • RECONSTRUCTION AND SUBGAUSSIAN OPERATORS IN ASYMPTOTIC GEOMETRIC ANALYSIS

    Shahar Mendelson;Shahar Mendelson;Alain Pajor;Nicole Tomczak-Jaegermann

  • A probabilistic approach to the geometry of the ℓᵨⁿ-ball

    Franck Barthe;Olivier Guedon;Shahar Mendelson;Assaf Naor

  • Phase retrieval: Stability and recovery guarantees☆

    Yonina C. Eldar;Shahar Mendelson

  • Bounding the Smallest Singular Value of a Random Matrix Without Concentration

    Vladimir Koltchinskii;Shahar Mendelson

  • Improving the sample complexity using global data

    S. Mendelson

  • Complexity measures of sign matrices

    Nati Linial;Shahar Mendelson;Gideon Schechtman;Adi Shraibman

  • Regularization in kernel learning

    Shahar Mendelson;Joseph Neeman

  • Mean Estimation and Regression Under Heavy-Tailed Distributions: A Survey

    Gábor Lugosi;Gábor Lugosi;Shahar Mendelson;Shahar Mendelson

  • Empirical processes and random projections

    B Klartag;Shahar Mendelson

  • Localized Rademacher Complexities

    Peter L. Bartlett;Olivier Bousquet;Shahar Mendelson

  • Geometric Parameters of Kernel Machines

    Shahar Mendelson

  • Sub-Gaussian estimators of the mean of a random vector

    Gábor Lugosi;Shahar Mendelson

  • A probabilistic approach to the geometry of the ll_p^n-ball

    Franck Barthe;Olivier Guedon;Shahar Mendelson;Assaf Naor

  • Local Rademacher complexities and oracle inequalities in risk minimization

    Peter L Bartlett;Shahar Mendelson

Frequent Co-Authors

Gábor Lugosi
Gábor Lugosi Pompeu Fabra University
Alain Pajor
Alain Pajor Université Paris Cité
Nicole Tomczak-Jaegermann
Nicole Tomczak-Jaegermann University of Alberta
Peter L. Bartlett
Peter L. Bartlett University of California, Berkeley
Holger Rauhut
Holger Rauhut RWTH Aachen University
Roman Vershynin
Roman Vershynin University of California, Irvine
Vladimir Koltchinskii
Vladimir Koltchinskii Georgia Institute of Technology
Olivier Bousquet
Olivier Bousquet Google (United States)
Alexander J. Smola
Alexander J. Smola Amazon (United States)
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science

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