David B. Dunson

22.8k total citations · 2 hit papers
323 papers, 12.5k citations indexed

About

David B. Dunson is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, David B. Dunson has authored 323 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 179 papers in Artificial Intelligence, 171 papers in Statistics and Probability and 33 papers in Molecular Biology. Recurrent topics in David B. Dunson's work include Bayesian Methods and Mixture Models (143 papers), Statistical Methods and Inference (121 papers) and Statistical Methods and Bayesian Inference (111 papers). David B. Dunson is often cited by papers focused on Bayesian Methods and Mixture Models (143 papers), Statistical Methods and Inference (121 papers) and Statistical Methods and Bayesian Inference (111 papers). David B. Dunson collaborates with scholars based in United States, Italy and United Kingdom. David B. Dunson's co-authors include Donna D. Baird, Joel M. Schectman, Deborah S. Cousins, Michael C. Hill, Lawrence Carin, Anirban Bhattacharya, Abel Rodríguez, Zhen Chen, B Colombo and Nerea Abrego and has published in prestigious journals such as Journal of the American Statistical Association, Blood and Bioinformatics.

In The Last Decade

David B. Dunson

313 papers receiving 12.0k citations

Hit Papers

High cumulative incidence of uterine leiomyoma in black a... 2003 2026 2010 2018 2003 2017 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. High cumulative incidence of uterine leiomyoma in black and white women: Ultrasound evidence
    2003 1.6k citations David B. Dunson et al. profile →
  2. How to make more out of community data? A conceptual framework and its implementation as models and software
    2017 636 citations Otso Ovaskainen, David B. Dunson et al. profile →

Peers

David B. Dunson
Comparison fields: 5 of 219
  • Statistics and Probability 3.5k
  • Artificial Intelligence 3.5k
  • Reproductive Medicine 2.3k
  • Obstetrics and Gynecology 1.9k
  • Molecular Biology 989
Replace Nicolás Chopin with:
Nicolás Chopin France
Geert Molenberghs Belgium
Morton B. Brown United States
Ming‐Hui Chen United States
Richard L. Tweedie Australia
Jeremy M. G. Taylor United States
John D. Kalbfleisch United States
Stefan Lang Austria
D. R. Cox United Kingdom
Murray Aitkin United Kingdom
Nicolás Chopin France View profile →
Citations per field, relative to David B. Dunson
David B. Dunson · 1×
Citations per year, relative to David B. Dunson
David B. Dunson · 1×

Countries citing papers authored by David B. Dunson

Since Specialization
Citations

This map shows the geographic impact of David B. Dunson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David B. Dunson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David B. Dunson more than expected).

Fields of papers citing papers by David B. Dunson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David B. Dunson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David B. Dunson. The network helps show where David B. Dunson may publish in the future.

Co-authorship network of co-authors of David B. Dunson

This figure shows the co-authorship network connecting the top 25 collaborators of David B. Dunson. A scholar is included among the top collaborators of David B. Dunson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David B. Dunson. David B. Dunson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
Logistic-Beta Processes for Dependent Random Probabilities with Beta Marginals
2025 ·Bayesian Analysis ·(unknown), (unknown), Huiyan Sang, David B. Dunson
0
2
Tree representations of brain structural connectivity via persistent homology
2023 ·Frontiers in Neuroscience ·(unknown), (unknown), Zhengwu Zhang, David B. Dunson
2
3
Explaining Transmission Rate Variations and Forecasting Epidemic Spread in Multiple Regions with a Semiparametric Mixed Effects SIR Model
2023 ·Biometrics ·(unknown), James E. Johndrow, David B. Dunson
3
4
Bayesian Modeling of Sequential Discoveries
2022 ·Journal of the American Statistical Association ·(unknown), (unknown), Otso Ovaskainen, David B. Dunson
0
5
Projected t-SNE for batch correction
2020 ·Bioinformatics ·(unknown), Jeffrey L. Tilson, Dayne L. Filer, (unknown), Alejandro Colaneri, (unknown), Timothy R. Gershon, Kirk C. Wilhelmsen, David B. Dunson
11
6
Latent Nested Nonparametric Priors (with Discussion)
2019 ·Bayesian Analysis ·(unknown), David B. Dunson, Antonio Lijoi, Igor Prünster, Abel Rodríguez
26
7
Clustering-Enhanced Stochastic Gradient MCMC for Hidden Markov Models with Rare States.
2018 ·arXiv (Cornell University) ·(unknown), (unknown), David B. Dunson
2
8
Discontinuous Hamiltonian Monte Carlo for models with discrete parameters and discontinuous likelihoods
2017 ·arXiv (Cornell University) ·Akihiko Nishimura, David B. Dunson, Jianfeng Lu
3
9
Common and Individual Structure of Multiple Networks
2017 ·arXiv (Cornell University) ·Lu Wang, Zhengwu Zhang, David B. Dunson
2
10
Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters
2017 ·arXiv (Cornell University) ·Akihiko Nishimura, David B. Dunson, Jianfeng Lu
3
11
Robust and Scalable Bayes via a Median of Subset Posterior Measures
2017 ·arXiv (Cornell University) ·Stanislav Minsker, Sanvesh Srivastava, Lizhen Lin, David B. Dunson
36
12
Compressed Gaussian process for manifold regression
2016 ·Journal of Machine Learning Research ·Rajarshi Guhaniyogi, David B. Dunson
7
13
Parallel MCMC via Weierstrass Sampler.
2013 ·arXiv (Cornell University) ·Xiangyu Wang, David B. Dunson
17
14
Locally Adaptive Bayesian Multivariate Time Series
2013 ·Research Padua Archive (University of Padua) ·Daniele Durante, Bruno Scarpa, David B. Dunson
2
15
Multivariate convex regression with adaptive partitioning
2013 ·Journal of Machine Learning Research ·Lauren A. Hannah, David B. Dunson
49
16
The Kernel Beta Process
2011 ·Neural Information Processing Systems ·Lu Ren, Yingjian Wang, Lawrence Carin, David B. Dunson
8
17
The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning
2011 ·International Conference on Machine Learning ·Bo Chen, Gungor Polatkan, Guillermo Sapiro, Lawrence Carin, David B. Dunson
20
18
Adaptive dimension reduction with a Gaussian process prior
2011 ·arXiv (Cornell University) ·Anirban Bhattacharya, Debdeep Pati, David B. Dunson
2
19
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices
2011 ·Neural Information Processing Systems ·(unknown), Lawrence Carin, David B. Dunson
2
20
Approximate Dynamic Programming for Storage Problems
2011 ·International Conference on Machine Learning ·Lauren A. Hannah, David B. Dunson
24

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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