World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
39
Citations
18526
World Ranking
2116
National Ranking
894

Robert E. McCulloch 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 Robert E. McCulloch 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: 102 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Robert E. McCulloch 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 Robert E. McCulloch 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: 39 D-Index — 41st percentile

41% 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

  • 1997 - Fellow of the American Statistical Association (ASA)

Overview

Robert E. McCulloch is affiliated with Arizona State University in the United States. Their research spans the fields of mathematics and computer science, focusing primarily on statistics and probability as well as artificial intelligence. Subfields within their work include hematology, transplantation, and pediatrics, perinatology, and child health.

The scientist's research topics emphasize statistical methods and inference, with a strong concentration on Bayesian inference and advanced statistical models. Key topics covered in their publications include:

  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Advanced Statistical Methods and Models
  • Bayesian Methods and Mixture Models
  • Bayesian Modeling and Causal Inference
  • Gaussian Processes and Bayesian Inference
  • Hematopoietic Stem Cell Transplantation

Robert E. McCulloch has published recent research papers in several venues. Selected publications include:

  • "mBART: Multidimensional Monotone BART," 2021, Bayesian Analysis
  • "Optimal Donor Selection for Hematopoietic Cell Transplantation Using Bayesian Machine Learning," 2021, JCO Clinical Cancer Informatics
  • "Parsimony inducing priors for large scale state-space models," 2021, Journal of Econometrics
  • "Nonparametric Failure Time: Time-to-Event Machine Learning with Heteroskedastic Bayesian Additive Regression Trees and Low Information Omnibus Dirichlet Process Mixtures," 2023, Biometrics
  • "Influential Observations in Bayesian Regression Tree Models," 2023, Journal of Computational and Graphical Statistics

Their frequent coauthors include:

  • Edward I. George
  • Brent R. Logan
  • Rodney Sparapani
  • Purushottam W. Laud
  • Martin Maiers

Publications have appeared consistently in venues such as:

  • arXiv (Cornell University)
  • Bayesian Analysis
  • JCO Clinical Cancer Informatics
  • Journal of Econometrics
  • Biometrics

Robert E. McCulloch was awarded the status of Fellow of the American Statistical Association (ASA) in 1997.

Best Publications

  • Variable selection via Gibbs sampling

    Edward I. George;Robert E. McCulloch

  • BART: Bayesian additive regression trees

    Hugh A. Chipman;Edward I. George;Robert E. McCulloch

  • APPROACHES FOR BAYESIAN VARIABLE SELECTION

    Edward I. George;Robert E. McCulloch

  • Bayesian CART Model Search

    Hugh A. Chipman;Edward I. George;Robert E. McCulloch

  • The Value of Purchase History Data in Target Marketing

    Peter E. Rossi;Robert E. McCulloch;Greg M. Allenby

  • Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage

    John Barnard;Robert McCulloch;Xiao Li Meng

  • Adaptive Bayesian Wavelet Shrinkage

    Hugh A. Chipman;Eric D. Kolaczyk;Robert E. McCulloch

  • An exact likelihood analysis of the multinomial probit model

    Robert McCulloch;Peter E Rossi

  • The Practical Implementation of Bayesian Model Selection

    Hugh A Chipman;Edward I George;Robert E McCulloch

  • Bayesian Statistics and Marketing: Rossi/Bayesian Statistics and Marketing

    Peter E. Rossi;Greg M. Allenby;Robert McCulloch

  • Bayes and Big Data: The Consensus Monte Carlo Algorithm

    Steven L. Scott;Alexander W. Blocker;Fernando V. Bonassi;Hugh A. Chipman

  • A Bayesian analysis of the multinomial probit model with fully identified parameters

    Robert E. McCulloch;Nicholas G. Polson;Peter E. Rossi

  • Bayesian Additive Regression Trees

    Hugh A. Chipman;Edward I. George;Robert E. McCulloch

  • Bayesian Treed Models

    Hugh A. Chipman;Edward I. George;Robert E. McCulloch

  • Bayesian Inference and Prediction for Mean and Variance Shifts in Autoregressive Time Series

    Robert E. McCulloch;Ruey S. Tsay

  • Local Model Influence

    Robert E. McCulloch

  • BAYESIAN ANALYSIS OF AUTOREGRESSIVE TIME SERIES VIA THE GIBBS SAMPLER

    Robert E. McCulloch;Ruey S. Tsay

  • STATISTICAL ANALYSIS OF ECONOMIC TIME SERIES VIA MARKOV SWITCHING MODELS

    Robert E. McCulloch;Ruey S. Tsay

  • Case Studies in Bayesian Statistics

    Ld;Constantine Gatsonis;James S. Hodges;Robert E. Kass

  • Nonparametric survival analysis using Bayesian Additive Regression Trees (BART).

    Rodney A. Sparapani;Brent R. Logan;Robert E. McCulloch;Purushottam W. Laud

  • Bayesian Inference and Portfolio Efficiency

    Shmuel Kandel;Robert McCulloch;Robert F. Stambaugh

Frequent Co-Authors

Edward I. George
Edward I. George University of Pennsylvania
Peter E. Rossi
Peter E. Rossi University of California, Los Angeles
Greg M. Allenby
Greg M. Allenby The Ohio State University
Ruey S. Tsay
Ruey S. Tsay University of Chicago
Brent R. Logan
Brent R. Logan Medical College of Wisconsin
Robert B. Gramacy
Robert B. Gramacy Virginia Tech
Eric D. Kolaczyk
Eric D. Kolaczyk McGill University
Eric Ghysels
Eric Ghysels University of North Carolina at Chapel Hill
Robert F. Stambaugh
Robert F. Stambaugh University of Pennsylvania
Eric T. Bradlow
Eric T. Bradlow University of Pennsylvania

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