D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mathematics D-index 71 Citations 47,764 340 World Ranking 112 National Ranking 63

Research.com Recognitions

Awards & Achievements

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

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Normal distribution

His scientific interests lie mostly in Statistics, Bayesian probability, Applied mathematics, Prior probability and Algorithm. Bayesian probability is closely attributed to Data mining in his study. His Applied mathematics research includes elements of Lasso, Convergence of random variables, Multivariate random variable and Random graph.

His study in Algorithm is interdisciplinary in nature, drawing from both Nonparametric statistics, Dirichlet process and Markov chain Monte Carlo. David B. Dunson has researched Dirichlet process in several fields, including Marginal likelihood, Hierarchical Dirichlet process and Markov chain. Dynamic Bayesian network and Probabilistic programming language is closely connected to Bayesian statistics in his research, which is encompassed under the umbrella topic of Variable-order Bayesian network.

His most cited work include:

  • Bayesian Data Analysis (13605 citations)
  • High cumulative incidence of uterine leiomyoma in black and white women: Ultrasound evidence☆☆☆★ (1344 citations)
  • Changes with age in the level and duration of fertility in the menstrual cycle (411 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Bayesian probability, Algorithm, Artificial intelligence, Statistics and Applied mathematics. The concepts of his Bayesian probability study are interwoven with issues in Inference and Data mining. His work in Algorithm tackles topics such as Markov chain Monte Carlo which are related to areas like Markov chain.

The study incorporates disciplines such as Machine learning and Pattern recognition in addition to Artificial intelligence. David B. Dunson performs multidisciplinary study in Applied mathematics and Gaussian process in his work. As a member of one scientific family, David B. Dunson mostly works in the field of Prior probability, focusing on Dirichlet process and, on occasion, Mixture model.

He most often published in these fields:

  • Bayesian probability (30.64%)
  • Algorithm (20.84%)
  • Artificial intelligence (20.53%)

What were the highlights of his more recent work (between 2017-2021)?

  • Bayesian probability (30.64%)
  • Algorithm (20.84%)
  • Markov chain Monte Carlo (14.62%)

In recent papers he was focusing on the following fields of study:

David B. Dunson mainly focuses on Bayesian probability, Algorithm, Markov chain Monte Carlo, Artificial intelligence and Inference. His Bayesian probability research incorporates themes from Mixture model, Multivariate statistics, Data mining and Cluster analysis. His Markov chain Monte Carlo course of study focuses on Bayesian inference and Scalability.

His biological study spans a wide range of topics, including Machine learning and Pattern recognition. His research in Inference intersects with topics in Statistics and Latent variable. His study looks at the intersection of Prior probability and topics like Applied mathematics with Eigenvalues and eigenvectors and Rate of convergence.

Between 2017 and 2021, his most popular works were:

  • A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels (85 citations)
  • Robust Bayesian Inference via Coarsening (73 citations)
  • Scalable Bayes via Barycenter in Wasserstein Space (60 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Machine learning

His primary areas of study are Bayesian probability, Bayesian inference, Markov chain Monte Carlo, Artificial intelligence and Algorithm. His studies in Bayesian probability integrate themes in fields like Mixture model, Conditional probability distribution and Inference. His Bayesian inference study combines topics in areas such as Sampling and Scalability.

His studies deal with areas such as Embedding, Orthogonal matrix, Applied mathematics and Stiefel manifold as well as Markov chain Monte Carlo. David B. Dunson has included themes like Rate of convergence, Eigenvalues and eigenvectors and Hybrid Monte Carlo in his Applied mathematics study. His study looks at the relationship between Cluster analysis and topics such as MNIST database, which overlap with Data mining.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Bayesian Data Analysis

Andrew Gelman;John B. Carlin;Hal S. Stern;David B. Dunson.
(1995)

27792 Citations

High cumulative incidence of uterine leiomyoma in black and white women: Ultrasound evidence☆☆☆★

Donna Day Baird;David B. Dunson;Michael C. Hill;Deborah Cousins.
American Journal of Obstetrics and Gynecology (2003)

1996 Citations

Changes with age in the level and duration of fertility in the menstrual cycle

David B. Dunson;Bernardo Colombo;Donna D. Baird.
Human Reproduction (2002)

660 Citations

Increased infertility with age in men and women.

David B. Dunson;Donna D. Baird;Bernardo Colombo.
Obstetrics & Gynecology (2004)

544 Citations

Bayesian data analysis, third edition

A Gelman;JB Carlin;HS Stern;DB Dunson.
(2013)

528 Citations

The timing of the “fertile window” in the menstrual cycle: day specific estimates from a prospective study

Allen J Wilcox;David Dunson;Donna Day Baird.
BMJ (2000)

512 Citations

Genetic heterogeneity of diffuse large B-cell lymphoma

Jenny Zhang;Vladimir Grubor;Cassandra L. Love;Anjishnu Banerjee.
Proceedings of the National Academy of Sciences of the United States of America (2013)

512 Citations

The genetic landscape of mutations in Burkitt lymphoma

Cassandra Love;Zhen Sun;Dereje Jima;Guojie Li.
Nature Genetics (2012)

512 Citations

Multitask Compressive Sensing

S. Ji;D. Dunson;L. Carin.
IEEE Transactions on Signal Processing (2009)

486 Citations

Genetic and Functional Drivers of Diffuse Large B Cell Lymphoma.

Anupama Reddy;Jenny Zhang;Nicholas S. Davis;Andrea B. Moffitt.
Cell (2017)

462 Citations

Best Scientists Citing David B. Dunson

Lawrence Carin

Lawrence Carin

King Abdullah University of Science and Technology

Publications: 120

Andrew Gelman

Andrew Gelman

Columbia University

Publications: 93

Otso Ovaskainen

Otso Ovaskainen

University of Helsinki

Publications: 74

David M. Blei

David M. Blei

Columbia University

Publications: 63

Aki Vehtari

Aki Vehtari

Aalto University

Publications: 57

Donna D. Baird

Donna D. Baird

National Institutes of Health

Publications: 54

Michael I. Jordan

Michael I. Jordan

University of California, Berkeley

Publications: 53

Yimin Zhang

Yimin Zhang

Temple University

Publications: 44

Sudipto Banerjee

Sudipto Banerjee

University of California, Los Angeles

Publications: 44

Brian J. Reich

Brian J. Reich

North Carolina State University

Publications: 41

Dinh Phung

Dinh Phung

Monash University

Publications: 40

Xin Yuan

Xin Yuan

Nanyang Technological University

Publications: 39

Reiner Siebert

Reiner Siebert

University of Ulm

Publications: 39

Moeness G. Amin

Moeness G. Amin

Villanova University

Publications: 35

Thomas L. Griffiths

Thomas L. Griffiths

Princeton University

Publications: 35

Alan E. Gelfand

Alan E. Gelfand

Duke University

Publications: 34

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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

Contact us
Something went wrong. Please try again later.