World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
38
Citations
5193
World Ranking
2381
National Ranking
1000

William E. Strawderman 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 William E. Strawderman 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: 227 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

William E. Strawderman 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 William E. Strawderman 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: 38 D-Index — 37th percentile

37% 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

  • 1984 - Fellow of the American Statistical Association (ASA)

Overview

William E. Strawderman is affiliated with Rutgers, The State University of New Jersey in the United States. Their research primarily focuses on the field of mathematics, with a strong emphasis on statistics and probability.

Their work spans several subfields, including:

  • Statistics and Probability
  • Artificial Intelligence
  • Statistics, Probability and Uncertainty
  • Management Science and Operations Research
  • Computational Mechanics

The main topics addressed in their research include:

  • Advanced Statistical Methods and Models
  • Statistical Methods and Bayesian Inference
  • Statistical Distribution Estimation and Applications
  • Statistical Methods and Inference
  • Random Matrices and Applications
  • Bayesian Methods and Mixture Models
  • Probability and Risk Models

William E. Strawderman has contributed papers to a range of academic journals, frequently publishing in:

  • Journal of Statistical Planning and Inference
  • arXiv (Cornell University)
  • The Annals of Statistics
  • Biometrika
  • Statistics & Probability Letters

Recent papers include:

  • Admissible Bayes equivariant estimation of location vectors for spherically symmetric distributions with unknown scale (2020), published in The Annals of Statistics
  • Predictive density estimation under the Wasserstein loss (2020), published in Journal of Statistical Planning and Inference
  • Admissible estimators of a multivariate normal mean vector when the scale is unknown (2020), published in Biometrika
  • Estimation under matrix quadratic loss and matrix superharmonicity (2021), published in Biometrika
  • On admissible estimation of a mean vector when the scale is unknown (2022), published in Bernoulli

They have coauthored extensively with several researchers, including:

  • Yuzo Maruyama
  • Takeru Matsuda
  • Tatsuya Kubokawa
  • Dominique Fourdrinier
  • Éric Marchand

William E. Strawderman has also authored book publications, with known work including Stein Estimation, published by Springer International Publishing in 2023.

In recognition of professional contributions, they were named a Fellow of the American Statistical Association (ASA) in 1984.

Best Publications

  • Proper Bayes Minimax Estimators of the Multivariate Normal Mean

    William E. Strawderman

  • Estimating a Bounded Normal Mean

    George Casella;William E. Strawderman

  • The Generalized Jackknife Statistic

    William E. Strawderman

  • Combining information from independent sources through confidence distributions

    Kesar Singh;Minge Xie;William E. Strawderman

  • Negative Moments of Positive Random Variables

    M. T. Chao;W. E. Strawderman

  • Confidence Distributions and a Unifying Framework for Meta-Analysis

    Minge Xie;Kesar Singh;William E. Strawderman

  • Proper Bayes Minimax Estimators of the Multivariate Normal Mean Vector for the Case of Common Unknown Variances

    William E. Strawderman

  • Choice of hierarchical priors: admissibility in estimation of normal means

    James O. Berger;William E. Strawderman

  • Estimation in restricted parameter spaces: a review

    Eric Marchand;William E. Strawderman

  • Confidence distribution (CD) -- distribution estimator of a parameter

    Kesar Singh;Minge Xie;William E. Strawderman

  • Minimax Adaptive Generalized Ridge Regression Estimators

    William E. Strawderman

  • Minimax estimation of location parameters for certain spherically symmetric distributions

    William E Strawderman

  • Stein Estimation: The Spherically Symmetric Case

    Ann Cohen Brandwein;William E. Strawderman

  • Generalization of James-Stein Estimators under spherical symmetry

    Ann Cohen Brandwein;William E. Strawderman

  • A new class of generalized Bayes minimax ridge regression estimators

    Yuzo Maruyama;William E. Strawderman

  • Preparing Statisticians for Careers in Industry: Report of the ASA Section on Statistical Education Committee on Training of Statisticians for Industry

    Thomas J. Boardman;Gerald J. Hahn;William J. Hill;Ronald R. Hocking

  • On the construction of Bayes minimax estimators

    Dominique Fourdrinier;William E. Strawderman;Martin T. Wells

  • On estimation with balanced loss functions

    Dipak K Dey;Malay Ghosh;William E Strawderman

  • MINIMAX ESTIMATION OF LOCATION PARAMETERS FOR SPHERICALLY SYMMETRIC DISTRIBUTIONS WITH CONCAVE LOSS

    Ann Cohen Brandwein;William E. Strawderman

  • A James-Stein Type Estimator for Combining Unbiased and Possibly Biased Estimators

    Edwin J. Green;William E. Strawderman

  • Minimax Estimation of Powers of the Variance of a Normal Population Under Squared Error Loss

    William E. Strawderman

Frequent Co-Authors

Eric Marchand
Eric Marchand University of Rennes
Martin T. Wells
Martin T. Wells Cornell University
Lawrence D. Brown
Lawrence D. Brown Cornell University
George Casella
George Casella University of Florida
Stéphane Canu
Stéphane Canu Institut National des Sciences Appliquées de Rouen
Christian P. Robert
Christian P. Robert Paris Dauphine University
James O. Berger
James O. Berger Duke University
John T. Kent
John T. Kent University of Leeds
Larry Wasserman
Larry Wasserman Carnegie Mellon University
Constantine Gatsonis
Constantine Gatsonis Brown University

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