2026 Robert E. McCulloch: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	39	2115	1865	893	739	102	18526

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Mathematics

2115

1865

893

739

102

18526

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

3676
Citations
BART: Bayesian additive regression trees

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

2274
Citations
APPROACHES FOR BAYESIAN VARIABLE SELECTION

Edward I. George;Robert E. McCulloch

1648
Citations
Bayesian CART Model Search

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

1045
Citations
The Value of Purchase History Data in Target Marketing

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

1031
Citations
Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage

John Barnard;Robert McCulloch;Xiao Li Meng

874
Citations
Adaptive Bayesian Wavelet Shrinkage

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

866
Citations
An exact likelihood analysis of the multinomial probit model

Robert McCulloch;Peter E Rossi

789
Citations
The Practical Implementation of Bayesian Model Selection

Hugh A Chipman;Edward I George;Robert E McCulloch

638
Citations
Bayesian Statistics and Marketing: Rossi/Bayesian Statistics and Marketing

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

611
Citations
Bayes and Big Data: The Consensus Monte Carlo Algorithm

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

498
Citations
A Bayesian analysis of the multinomial probit model with fully identified parameters

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

398
Citations
Bayesian Additive Regression Trees

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

274
Citations
Bayesian Treed Models

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

273
Citations
Bayesian Inference and Prediction for Mean and Variance Shifts in Autoregressive Time Series

Robert E. McCulloch;Ruey S. Tsay

261
Citations
Local Model Influence

Robert E. McCulloch

252
Citations
BAYESIAN ANALYSIS OF AUTOREGRESSIVE TIME SERIES VIA THE GIBBS SAMPLER

Robert E. McCulloch;Ruey S. Tsay

234
Citations
STATISTICAL ANALYSIS OF ECONOMIC TIME SERIES VIA MARKOV SWITCHING MODELS

Robert E. McCulloch;Ruey S. Tsay

217
Citations
Case Studies in Bayesian Statistics

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

201
Citations
Nonparametric survival analysis using Bayesian Additive Regression Trees (BART).

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

173
Citations
Bayesian Inference and Portfolio Efficiency

Shmuel Kandel;Robert McCulloch;Robert F. Stambaugh

156
Citations

Frequent Co-Authors

Edward I. George University of Pennsylvania

Peter E. Rossi University of California, Los Angeles

Greg M. Allenby The Ohio State University

Ruey S. Tsay University of Chicago

Brent R. Logan Medical College of Wisconsin

Robert B. Gramacy Virginia Tech

Eric D. Kolaczyk McGill University

Eric Ghysels University of North Carolina at Chapel Hill

Robert F. Stambaugh University of Pennsylvania

Eric T. Bradlow University of Pennsylvania

External Links

Personal website of Robert E. McCulloch Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

For students studying Mathematics in the USA, exploring related online degrees can open numerous career pathways. Many professionals pivot towards business and finance fields where analytical and quantitative skills are highly valued. For those considering leadership roles, researching mba programs easy to get into can provide accessible options without compromising on quality education.

Additionally, the rise of virtual learning has made it easier than ever to earn advanced degrees on a flexible schedule. Programs like the easiest online mba program provide practical business knowledge that complements strong mathematical backgrounds, enhancing career opportunities in management and consultancy.

For those interested in high-level research or academic positions, pursuing a Doctorate in Business Administration through dba online programs offers a cost-effective way to achieve these goals while balancing work and study.

Finally, a solid understanding of finance paired with mathematics skills is increasingly valuable. Enrolling in a master of finance online degree can enhance expertise in financial modeling, risk management, and data analysis, preparing graduates for competitive roles in banking, investment, and corporate finance.