World's Best Scientists 2026 revealed!
Lieven De Lathauwer

Lieven De Lathauwer

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Mathematics
Belgium
2026

D-Index & Metrics

Mathematics

D-Index
59
Citations
21874
World Ranking
576
National Ranking
8

Lieven De Lathauwer 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 Lieven De Lathauwer 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: 335 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Lieven De Lathauwer 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 Lieven De Lathauwer 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: 59 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Mathematics in Belgium Leader Award
  • 2025 - Research.com Mathematics in Belgium Leader Award
  • 2017 - SIAM Fellow For fundamental contributions to theory, computation, and application of tensor decompositions.
  • 2015 - IEEE Fellow For contributions to signal processing algorithms using tensor decompositions

Overview

Lieven De Lathauwer is affiliated with KU Leuven in Belgium, specializing in research spanning computer science, mathematics, and engineering. Their work prominently focuses on computational mathematics, computational mechanics, and signal processing, with additional contributions to computational theory, artificial intelligence, and related fields.

The scientist's research covers several main topics, including tensor decomposition and applications, sparse and compressive sensing techniques, blind source separation techniques, matrix theory and algorithms, model reduction and neural networks, advanced neuroimaging techniques and applications, as well as computational physics and Python applications.

Lieven De Lathauwer has published numerous papers in various academic venues. Noteworthy recent publications include:

  • "Factorizer: A scalable interpretable approach to context modeling for medical image segmentation," 2022, Medical Image Analysis
  • "Computing Large-Scale Matrix and Tensor Decomposition With Structured Factors: A Unified Nonconvex Optimization Perspective," 2020, IEEE Signal Processing Magazine
  • "On uniqueness and computation of the decomposition of a tensor into multilinear rank-$ terms," 2020, Lirias (KU Leuven)
  • "Combining thermodynamics with tensor completion techniques to enable multicomponent microstructure prediction," 2020, npj Computational Materials
  • "A Second-Order Method for Fitting the Canonical Polyadic Decomposition With Non-Least-Squares Cost," 2020, IEEE Transactions on Signal Processing

Frequent co-authors collaborating with De Lathauwer include Nico Vervliet, Eric Evert, Michiel Vandecappelle, Nicolas Gillis, and Ignat Domanov.

They have contributed extensively to leading publication venues with multiple papers published in:

  • SIAM Journal on Matrix Analysis and Applications
  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • Lirias (KU Leuven)
  • 2021 29th European Signal Processing Conference (EUSIPCO)

Lieven De Lathauwer has received recognition through awards such as:

  • SIAM Fellow in 2017 for contributions to the theory, computation, and application of tensor decompositions
  • IEEE Fellow in 2015 for contributions to signal processing algorithms using tensor decompositions

Best Publications

  • A Multilinear Singular Value Decomposition

    Lieven De Lathauwer;Bart De Moor;Joos Vandewalle

  • On the Best Rank-1 and Rank-( R 1 , R 2 ,. . ., R N ) Approximation of Higher-Order Tensors

    Lieven De Lathauwer;Bart De Moor;Joos Vandewalle

  • Tensor Decomposition for Signal Processing and Machine Learning

    Nicholas D. Sidiropoulos;Lieven De Lathauwer;Xiao Fu;Kejun Huang

  • Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis

    Andrzej Cichocki;Danilo Mandic;Lieven De Lathauwer;Guoxu Zhou

  • Decompositions of a Higher-Order Tensor in Block Terms—Part II: Definitions and Uniqueness

    Lieven De Lathauwer

  • Signal Processing based on Multilinear Algebra

    Lieven De Lathauwer

  • A Link between the Canonical Decomposition in Multilinear Algebra and Simultaneous Matrix Diagonalization

    Lieven De Lathauwer

  • Optimization-Based Algorithms for Tensor Decompositions: Canonical Polyadic Decomposition, Decomposition in Rank-$(L_r,L_r,1)$ Terms, and a New Generalization

    Laurent Sorber;Marc Van Barel;Lieven De Lathauwer

  • Decompositions of a Higher-Order Tensor in Block Terms—Part III: Alternating Least Squares Algorithms

    Lieven De Lathauwer;Dimitri Nion

  • Computation of the Canonical Decomposition by Means of a Simultaneous Generalized Schur Decomposition

    Lieven De Lathauwer;Bart De Moor;Joos Vandewalle

  • Learning with tensors: a framework based on convex optimization and spectral regularization

    Marco Signoretto;Quoc Tran Dinh;Lieven Lathauwer;Johan A. Suykens

  • An introduction to independent component analysis

    Lieven De Lathauwer;Bart De Moor;Joos Vandewalle

  • Dimensionality reduction in higher-order signal processing and rank-(R1,R2,…,RN) reduction in multilinear algebra

    Lieven De Lathauwer;Joos Vandewalle

  • Structured Data Fusion

    Laurent Sorber;Marc Van Barel;Lieven De Lathauwer

  • Unconstrained Optimization of Real Functions in Complex Variables

    Laurent Sorber;Marc Van Barel;Lieven De Lathauwer

  • Breaking the Curse of Dimensionality Using Decompositions of Incomplete Tensors: Tensor-based scientific computing in big data analysis

    Nico Vervliet;Otto Debals;Laurent Sorber;Lieven De Lathauwer

  • Decompositions of a Higher-Order Tensor in Block Terms—Part I: Lemmas for Partitioned Matrices

    Lieven De Lathauwer

  • Fetal electrocardiogram extraction by source subspace separation

    Lieven De Lathauwer;Bart De Moor;Joos Vandewalle

  • On the Uniqueness of the Canonical Polyadic Decomposition of Third-Order Tensors---Part I: Basic Results and Uniqueness of One Factor Matrix

    Ignat Domanov;Lieven De Lathauwer

  • Independent component analysis and (simultaneous) third-order tensor diagonalization

    L. de Lathauwer;B. de Moor;J. Vandewalle

  • Tensor-based techniques for the blind separation of DS-CDMA signals

    Lieven De Lathauwer;Joséphine Castaing

  • On the Uniqueness of the Canonical Polyadic Decomposition of Third-Order Tensors---Part II: Uniqueness of the Overall Decomposition

    Ignat Domanov;Lieven De Lathauwer

Frequent Co-Authors

Bart De Moor
Bart De Moor KU Leuven
Pierre-Antoine Absil
Pierre-Antoine Absil Université Catholique de Louvain
Pierre Comon
Pierre Comon Grenoble Alpes University
Athina P. Petropulu
Athina P. Petropulu Rutgers, The State University of New Jersey

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