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D-Index & Metrics

Mathematics

D-Index
69
Citations
96363
World Ranking
281
National Ranking
155

Roderick J. A. Little 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 Roderick J. A. Little 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: 226 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.

Roderick J. A. Little 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 Roderick J. A. Little 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: 69 D-Index — 92nd percentile

92% 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

  • 2010 - Fellow of the American Academy of Arts and Sciences
  • 2005 - Samuel S. Wilks Memorial Award, American Statistical Association (ASA)

Overview

Roderick J. A. Little is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily focuses on the field of Mathematics, with particular specialization in Statistics and Probability.

The scientist's work spans several subfields including Sociology and Political Science, General Health Professions, Economics and Econometrics, and Health. Their research topics cover multiple areas such as Statistical Methods and Bayesian Inference, Advanced Causal Inference Techniques, Statistical Methods and Inference, Survey Methodology and Nonresponse, Health disparities and outcomes, Survey Sampling and Estimation Techniques, and Statistical Methods in Clinical Trials.

Selected recent papers authored by Roderick J. A. Little include:

  • Framework for the treatment and reporting of missing data in observational studies: The Treatment And Reporting of Missing data in Observational Studies framework (2021), published in Journal of Clinical Epidemiology
  • A Comparison of Three Popular Methods for Handling Missing Data: Complete-Case Analysis, Inverse Probability Weighting, and Multiple Imputation (2022), published in Sociological Methods & Research
  • Missing Data Assumptions (2020), published in Annual Review of Statistics and Its Application
  • Estimands, Estimators, and Estimates (2021), published in JAMA

Frequent co-authors collaborating with Roderick J. A. Little include:

  • Yajuan Si
  • Rebecca Andridge
  • Brady T. West
  • Nell Sedransk
  • Katherine J. Lee

Major publication venues featured in the scientist's record are:

  • arXiv (Cornell University)
  • JAMA
  • Journal of Official Statistics
  • Statistics in Medicine
  • The Annals of Applied Statistics

Roderick J. A. Little has received notable recognition including being named a Fellow of the American Academy of Arts and Sciences in 2010 and receiving the Samuel S. Wilks Memorial Award from the American Statistical Association in 2005.

Best Publications

  • Statistical Analysis with Missing Data

    Roderick J A Little;Donald B Rubin

  • Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data

    Roderick J. A. Little;Donald B. Rubin

  • A Test of Missing Completely at Random for Multivariate Data with Missing Values

    Roderick J. A. Little

  • Redefine statistical significance

    Daniel J. Benjamin;James O. Berger;Magnus Johannesson;Magnus Johannesson;Brian A. Nosek;Brian A. Nosek

  • Statistical Analysis with Missing Data, Second Edition

    Roderick Little;Donald Rubin

  • Modeling the Drop-Out Mechanism in Repeated-Measures Studies

    Roderick J. A. Little

  • The Prevention and Treatment of Missing Data in Clinical Trials

    Roderick J. Little;Ralph D'Agostino;Michael L. Cohen;Kay Dickersin

  • Regression with missing X’s: A review

    Roderick J. A. Little

  • Robust Statistical Modeling Using the t Distribution

    Kenneth L. Lange;Roderick J. A. Little;Jeremy M. G. Taylor

  • The Analysis of Social Science Data with Missing Values

    Roderick J. A. Little;Donald B. Rubin

  • Missing-Data Adjustments in Large Surveys

    Roderick J. A. Little

  • A Review of Hot Deck Imputation for Survey Non-response.

    Rebecca R. Andridge;Roderick J. A. Little

  • Pattern-Mixture Models for Multivariate Incomplete Data

    Roderick J. A. Little

  • Causal effects in clinical and epidemiological studies via potential outcomes: concepts and analytical approaches.

    Roderick J. Little;Donald B. Rubin

  • Survey Nonresponse Adjustments for Estimates of Means

    Roderick J. A. Little

  • A Class of Pattern-Mixture Models for Normal Incomplete Data

    Roderick J. A. Little

  • Missing Values in Multivariate Analysis

    E. M. L. Beale;R. J. A. Little

  • Intent-to-treat analysis for longitudinal studies with drop-outs.

    Roderick Little;Linda Yau

  • Models for Nonresponse in Sample Surveys

    Roderick J. A. Little

  • A Theoretical Study of Some Maximum Likelihood Algorithms for Emission and Transmission Tomography

    Kenneth Lange;Mark Bahn;Roderick Little

  • Maximum likelihood estimation for mixed continuous and categorical data with missing values

    Roderick J. A. Little;Mark D. Schluchter

  • Web-based smoking-cessation programs: results of a randomized trial.

    Victor J. Strecher;Jennifer B. McClure;Gwen L. Alexander;Bibhas Chakraborty

Frequent Co-Authors

Donald B. Rubin
Donald B. Rubin Temple University
Sid Gilman
Sid Gilman University of Michigan–Ann Arbor
Robert A. Koeppe
Robert A. Koeppe University of Michigan–Ann Arbor
Larry Junck
Larry Junck University of Michigan–Ann Arbor
Ying Yuan
Ying Yuan The University of Texas MD Anderson Cancer Center
Bruno Giordani
Bruno Giordani University of Michigan–Ann Arbor
Xihong Lin
Xihong Lin Harvard University
Norman L. Foster
Norman L. Foster University of Utah
Kirk A. Frey
Kirk A. Frey University of Michigan–Ann Arbor
Brady T. West
Brady T. West University of Michigan–Ann Arbor

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