2026 David B. Dunson: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	91	63	53	41	33	541	66254
Engineering and Technology	82	455	430	156	143	463	63465

David B. Dunson 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 David B. Dunson sits on this spectrum.

42 publications 537+

This scientist: 541 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

David B. Dunson 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 David B. Dunson sits on this spectrum.

30 D-Index 86+

This scientist: 91 D-Index — 98th percentile

98% 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

2026 - Research.com Mathematics in United States Leader Award
2025 - Research.com Mathematics in United States Leader Award
2010 - COPSS Presidents' Award For his wide-ranging and fundamental contributions to the development of parametric and nonparametric modeling within complex Bayesian frameworks; for making significant concurrent scientific progress in machine learning through this development; for use of this methodology in substantive applications, notably in reproductive epidemiology; and for outstanding service to the profession as well as mentoring of students and post-doctoral researchers.
2007 - Fellow of the American Statistical Association (ASA)

Overview

David B. Dunson is affiliated with Duke University in the United States. Their research spans multiple fields, focusing extensively on computer science and mathematics. The primary areas of study include artificial intelligence, statistics and probability, molecular biology, computational theory and mathematics, and radiology, nuclear medicine and imaging.

Their work heavily emphasizes Bayesian methods, mixture models, and statistical inference. Key research topics include:

Bayesian Methods and Mixture Models
Statistical Methods and Inference
Statistical Methods and Bayesian Inference
Gaussian Processes and Bayesian Inference
Bayesian Modeling and Causal Inference
Functional Brain Connectivity Studies
Advanced Neuroimaging Techniques and Applications

David B. Dunson has published extensively, with frequent appearances in several academic venues. The main publication outlets include:

arXiv (Cornell University)
UNC Libraries
The Annals of Applied Statistics
Biometrika
Journal of the American Statistical Association

Some recent papers authored or co-authored by Dunson are:

"Nonparametric Bayes Modeling of Populations of Networks," 2020, OPAL (Open@LaTrobe) (La Trobe University)
"Powering Research through Innovative Methods for Mixtures in Epidemiology (PRIME) Program: Novel and Expanded Statistical Methods," 2022, International Journal of Environmental Research and Public Health
"Spectral convergence of graph Laplacian and heat kernel reconstruction in L∞ from random samples," 2021, Applied and Computational Harmonic Analysis
"Extended stochastic block models with application to criminal networks," 2022, The Annals of Applied Statistics
"Projected t-SNE for batch correction," 2020, Bioinformatics

Frequent co-authors who have collaborated with Dunson include:

Amy H. Herring
Tommaso Rigon
Didong Li
Alessandro Zito
Deborshee Sen

Throughout their career, Dunson has received recognition from professional societies. Awards include the 2010 COPSS Presidents' Award, given for contributions to parametric and nonparametric modeling within Bayesian frameworks and their applications to scientific fields, and being named a Fellow of the American Statistical Association in 2007.

Best Publications

Bayesian Data Analysis

Andrew Gelman;John B. Carlin;Hal S. Stern;David B. Dunson

32466
Citations
How to make more out of community data? A conceptual framework and its implementation as models and software.

Otso Ovaskainen;Otso Ovaskainen;Gleb Tikhonov;Anna Norberg;F. Guillaume Blanchet;F. Guillaume Blanchet

991
Citations
Bayesian data analysis, third edition

A Gelman;JB Carlin;HS Stern;DB Dunson

687
Citations
Genetic heterogeneity of diffuse large B-cell lymphoma

Jenny Zhang;Vladimir Grubor;Cassandra L. Love;Anjishnu Banerjee

652
Citations
Multitask Compressive Sensing

S. Ji;D. Dunson;L. Carin

638
Citations
Sparse Bayesian infinite factor models

A. Bhattacharya;D. B. Dunson

543
Citations
A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels

Anna Norberg;Nerea Abrego;Nerea Abrego;F. Guillaume Blanchet;Frederick R. Adler

515
Citations
Dirichlet–Laplace Priors for Optimal Shrinkage

Anirban Bhattacharya;Debdeep Pati;Natesh S. Pillai;David B. Dunson

477
Citations
Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images

Mingyuan Zhou;Haojun Chen;John Paisley;Lu Ren

461
Citations
Probabilistic Topic Models

David Blei;Lawrence Carin;David Dunson

458
Citations
Likelihood of conception with a single act of intercourse: providing benchmark rates for assessment of post-coital contraceptives

Allen J. Wilcox;David B. Dunson;Clarice R. Weinberg;James Trussell

431
Citations
The Nested Dirichlet Process

Abel Rodríguez;David B Dunson;Alan E Gelfand

428
Citations
GENERALIZED DOUBLE PARETO SHRINKAGE.

Artin Armagan;David B. Dunson;Jaeyong Lee

405
Citations
Bayesian latent variable models for clustered mixed outcomes

D. B. Dunson

383
Citations
Kernel stick-breaking processes

David B. Dunson;Ju-Hyun Park

376
Citations
Commentary: Practical Advantages of Bayesian Analysis of Epidemiologic Data

David B. Dunson

364
Citations
Random effects selection in linear mixed models.

Zhen Chen;David B. Dunson

349
Citations
Bayesian consensus clustering.

Eric F. Lock;David B. Dunson

334
Citations
Bayesian density regression

David B. Dunson;Natesh Pillai;Ju-Hyun Park

317
Citations
Bayesian Structural Equation Modeling

Jesus Palomo;David B. Dunson;Ken Bollen

156
Citations
Multi-Task Compressive Sensing

Shihao Ji;David Dunson;Lawrence Carin

114
Citations
Hierarchical linear models

Andrew Gelman;John B. Carlin;Hal S. Stern;David B. Dunson

41
Citations

Frequent Co-Authors

Lawrence Carin Duke University

Aki Vehtari Aalto University

John B. Carlin University of Melbourne

Andrew Gelman Columbia University

Donald B. Rubin Temple University

Donna D. Baird National Institutes of Health

Otso Ovaskainen University of Jyväskylä

Nerea Abrego University of Jyväskylä

Eric D. Hsi Cleveland Clinic

Shawn Levy Vanderbilt University

External Links

Wikipedia of David B. Dunson Personal website of David B. Dunson Google Scholar page

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