World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
37
Citations
8074
World Ranking
2446
National Ranking
96

Yoshio Takane 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 Yoshio Takane 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: 161 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Yoshio Takane 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 Yoshio Takane 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: 37 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Yoshio Takane is affiliated with the University of Victoria in Canada. Their research primarily spans the field of Mathematics, with a focus on several subfields including Statistics and Probability, Economics and Econometrics, Management Science and Operations Research, Applied Mathematics, and Artificial Intelligence.

The scientist's work addresses a range of topics, notably:

  • Advanced Statistical Methods and Models
  • Statistical Methods and Bayesian Inference
  • Economic and Environmental Valuation
  • Optimal Experimental Design Methods
  • Point processes and geometric inequalities
  • Bayesian Methods and Mixture Models
  • Sensory Analysis and Statistical Methods

The recent papers authored or co-authored by Yoshio Takane include:

  • "An algebraic theory of contrasts for Neyman's modified chi-square statistic" (2022), published in Behaviormetrika
  • "A theory of contrasts for modified Freeman-Tukey statistics and its applications to Tukey's post-hoc tests for contingency tables" (2024), published in Computational Statistics

Frequent co-authors collaborating with Takane are:

  • Sébastien Loisel
  • Eric J. Beh
  • Rosaria Lombardo
  • P.G.M. van der Heijden

Their work has appeared primarily in the publication venues:

  • Computational Statistics
  • Behaviormetrika

Best Publications

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

    Yoshio Takane;Forrest W. Young;Jan de Leeuw

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

    Yoshio Takane;Jan de Leeuw

  • GENERALIZED STRUCTURED COMPONENT ANALYSIS

    Heungsun Hwang;Yoshio Takane

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

    Jan de Leeuw;Forrest W. Young;Yoshio Takane

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

    Forrest W. Young;Jan de Leeuw;Yoshio Takane

  • 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

  • PRINCIPAL COMPONENT ANALYSIS WITH EXTERNAL INFORMATION ON BOTH SUBJECTS AND VARIABLES

    Yoshio Takane;Tadashi Shibayama

  • Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition

    Haruo Yanai;Kei Takeuchi;Yoshio Takane

  • Constrained Principal Component Analysis: A Comprehensive Theory

    Yoshio Takane;Michael A. Hunter

  • Multidimensional Scaling I

    Kwanghee Jung;Yoshio Takane

  • Generalized Structured Component Analysis: A Component-Based Approach to Structural Equation Modeling

    Heungsun Hwang;Yoshio Takane

  • ALSCAL: A nonmetric multidimensional scaling program with several individual-differences options

    Forrest W. Young;Yoshio Takane;Rostyslaw Lewyckyj

  • Multidimensional successive categories scaling : A maximum likelihood method

    Yoshio Takane

  • Fuzzy Clusterwise Generalized Structured Component Analysis

    Heungsun Hwang;Wayne S. Desarbo;Yoshio Takane

  • NONMETRIC MAXIMUM LIKELIHOOD MULTIDIMENSIONAL SCALING FROM DIRECTIONAL RANKINGS OF" SIMILARITIES

    Yoshio Takane;J. Douglas Carroll

  • An Extension of Multiple Correspondence Analysis for Identifying Heterogeneous Subgroups of Respondents

    Heungsun Hwang;Heungsun Hwang;William R. Dillon;Yoshio Takane

  • Constrained principal component analysis reveals functionally connected load‐dependent networks involved in multiple stages of working memory

    Paul Metzak;Eva Feredoes;Yoshio Takane;Liang Wang

  • Relationships among several methods of linearly constrained correspondence analysis

    Yoshio Takane;Haruo Yanai;Shinichi Mayekawa

  • MULTIDIMENSIONAL SCALING MODELS FOR REACTION TIMES AND SAME-DIFFERENT JUDGMENTS

    Yoshio Takane;Justine Sergent

  • Constrained Principal Component Analysis: Various Applications.

    Michael A. Hunter;Yoshio Takane

  • Generalized Inverse Matrices

    Haruo Yanai;Kei Takeuchi;Yoshio Takane

Frequent Co-Authors

Jan de Leeuw
Jan de Leeuw University of California, Los Angeles
Henk A. L. Kiers
Henk A. L. Kiers University of Groningen
Todd S. Woodward
Todd S. Woodward University of British Columbia
Michael A. Hunter
Michael A. Hunter University of Victoria
Thomas R. Shultz
Thomas R. Shultz McGill University
Jos M. F. ten Berge
Jos M. F. ten Berge University of Groningen
Wayne S. DeSarbo
Wayne S. DeSarbo Pennsylvania State University
Justine Sergent
Justine Sergent Montreal Neurological Institute and Hospital
John J. McArdle
John J. McArdle University of Southern California
Hervé Abdi
Hervé Abdi The University of Texas at Dallas

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