World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
53
Citations
23378
World Ranking
872
National Ranking
420

Jan de Leeuw 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 Jan de Leeuw 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: 251 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Jan de Leeuw 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 Jan de Leeuw 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: 53 D-Index — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Overview

Jan de Leeuw is affiliated with the University of California, Los Angeles in the United States. Their research predominantly engages with the domain of Agricultural and Biological Sciences, with focused contributions in subfields such as Food Science, Artificial Intelligence, Analytical Chemistry, Plant Science, and Earth-Surface Processes.

Their work spans several main topics, including Sensory Analysis and Statistical Methods, Spectroscopy and Chemometric Analyses, Leaf Properties and Growth Measurement, Data Analysis with R, Geological formations and processes, Geology and Paleoclimatology Research, as well as Hydrocarbon exploration and reservoir analysis.

Jan de Leeuw has authored and contributed to multiple scholarly articles. Recent papers include:

  • "More on Multidimensional Scaling and Unfolding in R: smacof Version 2" (2022), published in the Journal of Statistical Software
  • "Improved Approximation and Visualization of the Correlation Matrix" (2023), published in The American Statistician
  • "Reconstructing sedimentary processes in a Permian channel-lobe transition zone: an outcrop study in the Karoo Basin, South Africa" (2022), published in Geological Magazine
  • "Improved approximation and visualization of the correlation matrix" (2022), published on arXiv (Cornell University)
  • "Parcel loss prediction in last-mile delivery: deep and non-deep approaches with insights from Explainable AI" (2023), published on arXiv (Cornell University)

The scholar frequently publishes on platforms such as arXiv (Cornell University), with four contributions, as well as in journals like the Journal of Statistical Software, The American Statistician, Geological Magazine, and Annals of the Rheumatic Diseases.

Collaborative efforts feature prominently in their academic profile. Frequent coauthors include Jan Graffelman, with whom they have collaborated on multiple publications. Other notable coauthors are Patrick Mair, Patrick J. F. Groenen, Florian Pohl, and JT Eggenhuisen.

Best Publications

  • Introducing multilevel modeling

    Ita Kreft;Jan de Leeuw

  • Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features.

    Yoshio Takane;Forrest W. Young;Jan de Leeuw

  • Journal of Statistical Software

    Unknown

  • The Effect of Different Forms of Centering in Hierarchical Linear Models

    Ita G.G. Kreft;Jan de Leeuw;Leona S. Aiken

  • ON THE RELATIONSHIP BETWEEN ITEM RESPONSE THEORY AND FACTOR ANALYSIS OF DISCRETIZED VARIABLES

    Yoshio Takane;Jan de Leeuw

  • Principal component analysis of three-mode data by means of alternating least squares algorithms

    Pieter M. Kroonenberg;Jan de Leeuw

  • Multidimensional Scaling Using Majorization: SMACOF in R

    Jan de Leeuw;Patrick Mair

  • Applications of Convex Analysis to Multidimensional Scaling

    Jan De Leeuw

  • Random Coefficient Models for Multilevel Analysis

    Jan De Leeuw;Ita Kreft

  • Handbook of multilevel analysis

    Jan de Leeuw;Erik Meijer;Harvey Goldstein

  • The Gifi system of descriptive multivariate analysis

    George Michailidis;Jan de Leeuw

  • Additive structure in qualitative data: An alternating least squares method with optimal scaling features

    Jan de Leeuw;Forrest W. Young;Yoshio Takane

  • Isotone Optimization in R: Pool-Adjacent-Violators Algorithm (PAVA) and Active Set Methods

    Jan de Leeuw;Kurt Hornik;Patrick Mair

  • REGRESSION WITH QUALITATIVE AND QUANTITATIVE VARIABLES: AN ALTERNATING LEAST SQUARES METHOD WITH OPTIMAL SCALING FEATURES

    Forrest W. Young;Jan de Leeuw;Yoshio Takane

  • Convergence of the majorization method for multidimensional scaling

    Jan de Leeuw

  • The principal components of mixed measurement level multivariate data: An alternating least squares method with optimal scaling features

    Forrest W. Young;Yoshio Takane;Jan de Leeuw

  • Block-relaxation Algorithms in Statistics

    Jan de Leeuw

  • 13 Theory of multidimensional scaling

    Jan de Leeuw;Willem J. Heiser

  • Canonical analysis of categorical data

    Jan de Leeuw

  • Nonlinear principal Component Analysis and Related Techniques

    Jan de Leeuw

  • Nonlinear multivariate analysis

    Jan De Leeuw

  • Abstract Measurement Theory.

    Jan de Leeuw;Louis Narens

Frequent Co-Authors

Yoshio Takane
Yoshio Takane University of Victoria
Peter G. M. van der Heijden
Peter G. M. van der Heijden University of Southampton
Richard A. Berk
Richard A. Berk University of Pennsylvania
George Michailidis
George Michailidis University of Florida
Henk A. L. Kiers
Henk A. L. Kiers University of Groningen
Jos M. F. ten Berge
Jos M. F. ten Berge University of Groningen
Kurt Hornik
Kurt Hornik Vienna University of Economics and Business
Kenneth Lange
Kenneth Lange University of California, Los Angeles
Thomas P. Novak
Thomas P. Novak George Washington University
Donna L. Hoffman
Donna L. Hoffman George Washington University

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