World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
57
Citations
17816
World Ranking
673
National Ranking
341

Rand R. Wilcox 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 Rand R. Wilcox 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: 417 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Rand R. Wilcox 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 Rand R. Wilcox 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: 57 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Overview

Rand R. Wilcox is affiliated with the University of Southern California in the United States. Their research primarily focuses on the field of Mathematics, with particular emphasis on Statistics and Probability. Within these areas, they have contributed extensively to subfields including Management Science and Operations Research, Statistics, Probability and Uncertainty, Physiology, and Public Health, Environmental and Occupational Health.

The scientist's work covers several main topics, notably Advanced Statistical Methods and Models, Statistical Methods and Inference, Statistical Methods in Clinical Trials, Statistical Methods and Bayesian Inference, Optimal Experimental Design Methods, Advanced Statistical Process Monitoring, and Physical Activity and Health.

Rand R. Wilcox has published multiple recent papers in well-regarded journals. These include:

  • Review and recommendations for univariate statistical analysis of spherical equivalent prediction error for IOL power calculations, 2020, Journal of Cataract & Refractive Surgery
  • Sedentary Behavior and Incident Dementia Among Older Adults, 2023, JAMA
  • The Percentile Bootstrap: A Primer With Step-by-Step Instructions in R, 2021, Advances in Methods and Practices in Psychological Science
  • Leisure-time sedentary behaviors are differentially associated with all-cause dementia regardless of engagement in physical activity, 2022, Proceedings of the National Academy of Sciences
  • Reaction Times and other Skewed Distributions, 2020, Meta-Psychology

The frequent co-authors collaborating with Rand R. Wilcox include:

  • David A. Raichlen
  • M. Katherine Sayre
  • Pradyumna K. Bharadwaj
  • Yann C. Klimentidis
  • Mark H. C. Lai

Prominent venues where Rand R. Wilcox has published multiple works are:

  • Journal of Data Science
  • Communications in Statistics - Simulation and Computation
  • International Journal of Statistics and Probability
  • Journal of Modern Applied Statistical Methods
  • Journal of Cataract & Refractive Surgery

Best Publications

  • Introduction to Robust Estimation and Hypothesis Testing

    Rand R. Wilcox

  • Robust statistical methods in R using the WRS2 package.

    Patrick Mair;Rand Wilcox

  • Modern robust data analysis methods: measures of central tendency.

    Rand R. Wilcox;H. J. Keselman

  • Robust Correlation Analyses: False Positive and Power Validation Using a New Open Source Matlab Toolbox

    Cyril R Pernet;Rand R Wilcox;Guillaume A Rousselet

  • Effectiveness of a lifestyle intervention in promoting the well-being of independently living older people: results of the Well Elderly 2 Randomised Controlled Trial

    Florence Clark;Jeanne Jackson;Mike Carlson;Chih Ping Chou

  • Applying Contemporary Statistical Techniques

    Rand R Wilcox

  • Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy

    Rand R. Wilcox

  • Fundamentals of Modern Statistical Methods

    Rand R. Wilcox

  • Robust statistical methods: a primer for clinical psychology and experimental psychopathology researchers

    Andy P. Field;Rand R. Wilcox

  • How many discoveries have been lost by ignoring modern statistical methods

    Rand R. Wilcox

  • New designs in analysis of variance.

    Rand R. Wilcox

  • The statistical implications of pre-test and Stein-rule estimators in econometrics

    Unknown

  • Modern Statistics for the Social and Behavioral Sciences: A Practical Introduction

    Rand R. Wilcox

  • Kolmogorov–Smirnov Test

    Unknown

  • Beyond differences in means: robust graphical methods to compare two groups in neuroscience

    Guillaume A. Rousselet;Cyril R. Pernet;Rand R. Wilcox

  • A Generally Robust Approach for Testing Hypotheses and Setting Confidence Intervals for Effect Sizes

    H. J. Keselman;James Algina;Lisa M. Lix;Rand R. Wilcox

  • Measuring effect size: a robust heteroscedastic approach for two or more groups

    Rand R. Wilcox;Tian S. Tian

  • The New and Improved Two-Sample t Test

    H.J. Keselman;Abdul R. Othman;Rand R. Wilcox;Katherine Fradette

  • New monte carlo results on the robustness of the anova f, w and f statistics

    Rand R. Wilcox;Ventura L. Char in;Karen L. Thompson

  • New Statistical Procedures for the Social Sciences.

    R. Iyer;Rand R. Wilcox

  • The goals and strategies of robust methods

    Rand R. Wilcox

  • ANOVA: A Paradigm for Low Power and Misleading Measures of Effect Size?

    Rand R. Wilcox

  • Statistics for the Social Sciences

    Unknown

Frequent Co-Authors

H. J. Keselman
H. J. Keselman University of Manitoba
Guillaume A. Rousselet
Guillaume A. Rousselet University of Glasgow
James Algina
James Algina University of Florida
Cyril Pernet
Cyril Pernet Copenhagen University Hospital
Douglas A. Granger
Douglas A. Granger University of California, Irvine
Lisa M. Lix
Lisa M. Lix University of Manitoba
Chih-Ping Chou
Chih-Ping Chou University of Southern California
Robert M. Sapolsky
Robert M. Sapolsky Stanford University
Neda Jahanshad
Neda Jahanshad University of Southern California
Sarah E. Medland
Sarah E. Medland QIMR Berghofer Medical Research Institute

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