Bradley P. Carlin

23.7k total citations · 7 hit papers
201 papers, 15.4k citations indexed

About

Bradley P. Carlin is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Bradley P. Carlin has authored 201 papers receiving a total of 15.4k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Statistics and Probability, 55 papers in Economics and Econometrics and 29 papers in Artificial Intelligence. Recurrent topics in Bradley P. Carlin's work include Statistical Methods and Bayesian Inference (77 papers), Statistical Methods in Clinical Trials (48 papers) and Statistical Methods and Inference (42 papers). Bradley P. Carlin is often cited by papers focused on Statistical Methods and Bayesian Inference (77 papers), Statistical Methods in Clinical Trials (48 papers) and Statistical Methods and Inference (42 papers). Bradley P. Carlin collaborates with scholars based in United States, United Kingdom and Canada. Bradley P. Carlin's co-authors include Sudipto Banerjee, Alan E. Gelfand, Thomas A. Louis, Mary Kathryn Cowles, Siddhartha Chib, Nicholas G. Polson, Daniel J. Sargent, Brian P. Hobbs, David S. Stoffer and Lance A. Waller and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Bradley P. Carlin

194 papers receiving 14.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review

1996 1.4k citations Mary Kathryn Cowles, Bradley P. Carlin Journal of the American Statistical Association profile →
Hierarchical Modeling and Analysis for Spatial Data

2003 1.3k citations Sudipto Banerjee, Bradley P. Carlin et al. profile →
Hierarchical Modeling and Analysis for Spatial Data

2014 1.1k citations Sudipto Banerjee, Bradley P. Carlin et al. profile →
Bayes and Empirical Bayes Methods for Data Analysis, Second Edition

2000 730 citations Bradley P. Carlin et al. profile →
Bayesian Model Choice Via Markov Chain Monte Carlo Methods

1995 640 citations Bradley P. Carlin, Siddhartha Chib Journal of the Royal Statistical Society Series B (Statistical Methodology) profile →
Bayesian Methods for Data Analysis

2008 603 citations Bradley P. Carlin et al. profile →
The Deviance Information Criterion: 12 Years on

2014 426 citations David Spiegelhalter, Nicola Best et al. Journal of the Royal Statistical Society Series B (Statistical Methodology) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Bradley P. Carlin United States	57	6.3k	3.5k	3.1k	1.4k	1.3k	201	15.4k
Sylvia Richardson United Kingdom	53	4.3k 0.7×	1.9k 0.5×	4.1k 1.4×	855 0.6×	1.4k 1.1×	236	19.0k
B. Efron United States	20	4.9k 0.8×	2.2k 0.6×	2.7k 0.9×	1.6k 1.2×	640 0.5×	31	23.1k
Hal S. Stern United States	38	3.9k 0.6×	2.0k 0.6×	2.9k 1.0×	1.5k 1.0×	570 0.4×	155	19.4k
D. R. Cox United Kingdom	46	7.1k 1.1×	2.4k 0.7×	2.9k 1.0×	2.3k 1.6×	1.0k 0.8×	127	23.7k
Alan Agresti United States	61	6.9k 1.1×	2.1k 0.6×	2.8k 0.9×	2.0k 1.4×	1.7k 1.3×	164	28.3k
Peter McCullagh Australia	32	7.0k 1.1×	2.1k 0.6×	2.7k 0.9×	1.8k 1.3×	938 0.7×	156	25.3k
Hui Zou United States	38	7.6k 1.2×	1.7k 0.5×	5.8k 1.9×	1.5k 1.1×	707 0.5×	130	26.1k
Alan E. Gelfand United States	63	8.3k 1.3×	5.3k 1.5×	5.9k 1.9×	1.8k 1.3×	1.1k 0.9×	314	23.8k
M. P. Wand Australia	50	6.3k 1.0×	1.6k 0.4×	2.9k 1.0×	920 0.7×	336 0.3×	185	13.2k
Julian Besag United Kingdom	33	3.6k 0.6×	3.2k 0.9×	3.5k 1.2×	693 0.5×	1.6k 1.2×	60	16.1k

Countries citing papers authored by Bradley P. Carlin

Since Specialization

Citations

This map shows the geographic impact of Bradley P. Carlin'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 Bradley P. Carlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bradley P. Carlin more than expected).

Fields of papers citing papers by Bradley P. Carlin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bradley P. Carlin. 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 Bradley P. Carlin. The network helps show where Bradley P. Carlin may publish in the future.

Co-authorship network of co-authors of Bradley P. Carlin

This figure shows the co-authorship network connecting the top 25 collaborators of Bradley P. Carlin. A scholar is included among the top collaborators of Bradley P. Carlin 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 Bradley P. Carlin. Bradley P. Carlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wu, Xiao, Y. Jun Xu, & Bradley P. Carlin. (2019). Optimizing interim analysis timing for Bayesian adaptive commensurate designs. Statistics in Medicine. 39(4). 424–437. 6 indexed citations

Hodges, James S., et al.. (2017). Diagnostics for generalized linear hierarchical models in network meta‐analysis. Research Synthesis Methods. 8(3). 333–342. 5 indexed citations

Hodges, James S., et al.. (2016). Hierarchical Bayesian approaches for detecting inconsistency in network meta-analysis. Statistics in Medicine. 35(20). 3524–3536. 9 indexed citations

Murray, Thomas A., Brian P. Hobbs, Daniel J. Sargent, & Bradley P. Carlin. (2015). Flexible Bayesian Survival Modeling with Semiparametric Time-Dependent and Shape-Restricted Covariate Effects. Bayesian Analysis. 11(2). 381–402. 13 indexed citations

Zhang, Quan, Youssef Toubouti, & Bradley P. Carlin. (2015). Design and analysis of Bayesian adaptive crossover trials for evaluating contact lens safety and efficacy. Statistical Methods in Medical Research. 26(3). 1216–1236. 1 indexed citations

Finkelstein, Stanley M., Bruce R. Lindgren, William N. Robiner, et al.. (2013). A Randomized Controlled Trial Comparing Health and Quality of Life of Lung Transplant Recipients Following Nurse and Computer-Based Triage Utilizing Home Spirometry Monitoring. Telemedicine Journal and e-Health. 19(12). 897–903. 21 indexed citations

Carlin, Bradley P., James D. Neaton, Guoxing Soon, et al.. (2013). Network meta-analysis of randomized clinical trials: Reporting the proper summaries. Clinical Trials. 11(2). 246–262. 89 indexed citations

Finley, Andrew O., Sudipto Banerjee, & Bradley P. Carlin. (2007). spBayes An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models. SHILAP Revista de lepidopterología. 13 indexed citations

Spiegelhalter, David, Nicola Best, Bradley P. Carlin, & Angelika van der Linde. (2002). Bayesian Measures of Model Complexity and Fit. Journal of the Royal Statistical Society Series B (Statistical Methodology). 64(4). 583–639. 31 indexed citations

10.

Gelfand, Alan E., et al.. (2001). On computation using gibbs sampling for multilevel models.. Statistica Sinica. 11(4). 981–1003. 6 indexed citations

11.

Sargent, Daniel J., James S. Hodges, & Bradley P. Carlin. (2000). Structured Markov Chain Monte Carlo. Journal of Computational and Graphical Statistics. 9(2). 217–234. 34 indexed citations

12.

Chib, Siddhartha & Bradley P. Carlin. (1999). On MCMC sampling in hierarchical longitudinal models. Statistics and Computing. 9(1). 17–26. 120 indexed citations

13.

Kass, Robert E., Bradley P. Carlin, Andrew Gelman, & Radford M. Neal. (1998). Markov Chain Monte Carlo in Practice: A Roundtable Discussion. The American Statistician. 52(2). 93–100. 434 indexed citations

14.

Gelfand, Alan E., Sujit K. Sahu, & Bradley P. Carlin. (1996). Efficient parametrizations for generalized linear mixed models, (with discussion).. Applied and Environmental Microbiology. 70(5). 2764–70. 31 indexed citations

15.

Cowles, Mary Kathryn, Bradley P. Carlin, & John E. Connett. (1996). Bayesian Tobit Modeling of Longitudinal Ordinal Clinical Trial Compliance Data with Nonignorable Missingness. Journal of the American Statistical Association. 91(433). 86–98. 59 indexed citations

16.

Cowles, Mary Kathryn & Bradley P. Carlin. (1996). Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review. Journal of the American Statistical Association. 91(434). 883–904. 1382 indexed citations breakdown →

17.

Carlin, Bradley P. & Stuart A. Klugman. (1993). Hierarchical Bayesian Whittaker Graduation. Scandinavian Actuarial Journal. 1993(2). 183–196. 4 indexed citations

18.

Carlin, Bradley P., Nicholas G. Polson, & David S. Stoffer. (1992). A Monte Carlo Approach to Nonnormal and Nonlinear State-Space Modeling. Journal of the American Statistical Association. 87(418). 493–500. 376 indexed citations

19.

Carlin, Bradley P., Alan E. Gelfand, & A. F. M. Smith. (1992). Hierarchical Bayesian Analysis of Changepoint Problems. Journal of the Royal Statistical Society Series C (Applied Statistics). 41(2). 389–389. 399 indexed citations

20.

Carlin, Bradley P. & Bradley P. Carlin. (1991). An Expected Utility Approach to Influence Diagnostics. Journal of the American Statistical Association. 86(416). 1013–1021. 30 indexed citations

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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