World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
35
Citations
5412
World Ranking
2772
National Ranking
49

Computer Science

D-Index
34
Citations
5008
World Ranking
12173
National Ranking
203

Daniel Kressner 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 Daniel Kressner 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: 255 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Daniel Kressner 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 Daniel Kressner 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: 35 D-Index — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Overview

Daniel Kressner is affiliated with École Polytechnique Fédérale de Lausanne in Switzerland. Their research spans several fields within computer science and mathematics, with a primary focus on computational theory, computational mechanics, and computational mathematics. The body of work covers a range of topics related to numerical methods and algorithms, particularly those related to matrix computations and tensor decompositions.

Their publication record includes contributions to highly specialized areas such as matrix theory and algorithms, tensor decomposition and applications, and sparse and compressive sensing techniques. Additional research topics include model reduction, neural networks, electromagnetic scattering and analysis, stochastic gradient optimization techniques, and advanced optimization algorithms research.

Frequent co-authors collaborating with Daniel Kressner are Alice Cortinovis, Stefano Massei, Haoze He, Hei Yin Lam, and Leonardo Robol.

Key recent papers authored or co-authored by Daniel Kressner are:

  • hm-toolbox: MATLAB Software for HODLR and HSS Matrices, 2020, SIAM Journal on Scientific Computing
  • On randomized trace estimates for indefinite matrices with an application to determinants, 2022, CINECA IRIS Institutial research information system (University of Pisa)
  • Low-rank approximation in the Frobenius norm by column and row subset selection, 2020, CINECA IRIS Institutial research information system (University of Pisa)
  • Improved Variants of the Hutch++ Algorithm for Trace Estimation, 2022, SIAM Journal on Matrix Analysis and Applications
  • On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices, 2020, CINECA IRIS Institutial research information system (University of Pisa)

The venues where Daniel Kressner frequently publishes include:

  • arXiv (Cornell University)
  • SIAM Journal on Matrix Analysis and Applications
  • SIAM Journal on Scientific Computing
  • CINECA IRIS Institutial research information system (University of Pisa)
  • Numerical Linear Algebra with Applications

The main academic fields of their research are Computer Science and Mathematics, with the distribution of works indicating a strong emphasis on computational and theoretical aspects within these disciplines.

Best Publications

  • A literature survey of low-rank tensor approximation techniques

    Lars Grasedyck;Daniel Kressner;Christine Tobler

  • Low-rank tensor completion by Riemannian optimization

    Daniel Kressner;Michael Steinlechner;Bart Vandereycken

  • Low-Rank Tensor Krylov Subspace Methods for Parametrized Linear Systems

    Daniel Kressner;Christine Tobler

  • Block variants of Hammarling's method for solving Lyapunov equations

    Daniel Kressner

  • Krylov Subspace Methods for Linear Systems with Tensor Product Structure

    Daniel Kressner;Christine Tobler

  • Learning Heat Diffusion Graphs

    Dorina Thanou;Xiaowen Dong;Daniel Kressner;Pascal Frossard

  • Numerical methods for general and structured eigenvalue problems

    Daniel Kressner

  • A block Newton method for nonlinear eigenvalue problems

    Daniel Kressner

  • Implicit QR algorithms for palindromic and even eigenvalue problems

    Daniel Kressner;Christian Schröder;David S. Watkins

  • Distributed Signal Processing via Chebyshev Polynomial Approximation

    David I Shuman;Pierre Vandergheynst;Daniel Kressner;Pascal Frossard

  • Parallel algorithms for tensor completion in the CP format

    Lars Karlsson;Daniel Kressner;André Uschmajew

  • Chebyshev interpolation for nonlinear eigenvalue problems

    Cedric Effenberger;Daniel Kressner

  • Low-Rank Tensor Methods with Subspace Correction for Symmetric Eigenvalue Problems

    Daniel Kressner;Michael Steinlechner;Andr ´ E Uschmajew

  • Preconditioned Low-Rank Methods for High-Dimensional Elliptic PDE Eigenvalue Problems

    Daniel Kressner;Christine Tobler

  • Structured Eigenvalue Condition Numbers

    Michael Karow;Daniel Kressner;Franc¸oise Tisseur

  • Algorithm 941: htucker---A Matlab Toolbox for Tensors in Hierarchical Tucker Format

    Daniel Kressner;Christine Tobler

  • Structured Condition Numbers for Invariant Subspaces

    Ralph Byers;Daniel Kressner

  • Skew-Hamiltonian and Hamiltonian Eigenvalue Problems: Theory, Algorithms and Applications

    Peter Benner;Daniel Kressner;Volker Mehrmann

  • Accelerated filtering on graphs using Lanczos method

    Ana Susnjara;Nathanael Perraudin;Daniel Kressner;Pierre Vandergheynst

  • Accelerated filtering on graphs using Lanczos method

    Ana Susnjara;Nathanael Perraudin;Daniel Kressner;Pierre Vandergheynst

  • A literature survey of low-rank tensor approximation techniques

    Lars Grasedyck;Daniel Kressner;Christine Tobler

  • Fusion of digital elevation models using sparse representations

    Haris Papasaika;Effrosyni Kokiopoulou;Emmanuel Baltsavias;Konrad Schindler

  • Numerical Mathematics and Advanced Applications - ENUMATH 2013

    Assyr Abdulle;Simone Deparis;Daniel Kressner;Fabio Nobile

Frequent Co-Authors

Peter Benner
Peter Benner Max Planck Institute for Dynamics of Complex Technical Systems
Bo Kågström
Bo Kågström Umeå University
Pascal Frossard
Pascal Frossard École Polytechnique Fédérale de Lausanne
Fabio Nobile
Fabio Nobile École Polytechnique Fédérale de Lausanne
Enrique S. Quintana-Ortí
Enrique S. Quintana-Ortí Universitat Politècnica de València
Pierre Vandergheynst
Pierre Vandergheynst École Polytechnique Fédérale de Lausanne
Valeria Simoncini
Valeria Simoncini University of Bologna
Assyr Abdulle
Assyr Abdulle École Polytechnique Fédérale de Lausanne
Michele Benzi
Michele Benzi Scuola Normale Superiore di Pisa

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