Robert E. McCulloch

10.1k total citations · 3 hit papers
63 papers, 6.0k citations indexed

About

Robert E. McCulloch is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Robert E. McCulloch has authored 63 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Statistics and Probability, 24 papers in Artificial Intelligence and 13 papers in Economics and Econometrics. Recurrent topics in Robert E. McCulloch's work include Statistical Methods and Inference (23 papers), Advanced Statistical Methods and Models (19 papers) and Statistical Methods and Bayesian Inference (15 papers). Robert E. McCulloch is often cited by papers focused on Statistical Methods and Inference (23 papers), Advanced Statistical Methods and Models (19 papers) and Statistical Methods and Bayesian Inference (15 papers). Robert E. McCulloch collaborates with scholars based in United States, Canada and Brazil. Robert E. McCulloch's co-authors include Edward I. George, Hugh Chipman, Peter E. Rossi, Ruey S. Tsay, Greg M. Allenby, Eric D. Kolaczyk, Nicholas G. Polson, Purushottam W. Laud, Rodney Sparapani and Brent R. Logan and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Journal of Marketing Research.

In The Last Decade

Robert E. McCulloch

62 papers receiving 5.6k citations

Hit Papers

Variable Selection via Gibbs Sampling 1993 2026 2004 2015 1993 1997 1996 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert E. McCulloch United States 26 2.2k 1.7k 1.1k 650 633 63 6.0k
Edward I. George United States 32 4.0k 1.8× 2.8k 1.6× 1.3k 1.2× 309 0.5× 962 1.5× 110 9.2k
Joseph B. Kadane United States 47 4.4k 2.0× 3.0k 1.7× 1.9k 1.7× 434 0.7× 2.0k 3.2× 318 12.3k
Thomas S. Ferguson United States 31 2.9k 1.3× 3.3k 1.9× 897 0.8× 154 0.2× 983 1.6× 121 7.5k
Sheldon M. Ross United States 39 1.8k 0.8× 1.6k 0.9× 893 0.8× 237 0.4× 2.0k 3.1× 212 13.0k
Hansheng Wang China 29 2.8k 1.2× 906 0.5× 699 0.7× 143 0.2× 397 0.6× 227 6.0k
Jeremy York United States 5 903 0.4× 1.8k 1.0× 1.2k 1.1× 403 0.6× 689 1.1× 6 7.2k
A. P. Dawid United Kingdom 43 3.5k 1.6× 4.7k 2.7× 914 0.9× 108 0.2× 1.5k 2.4× 177 10.8k
David Siegmund United States 42 3.8k 1.7× 1.6k 0.9× 1.1k 1.1× 292 0.4× 2.6k 4.1× 134 10.8k
Ali S. Hadi United States 32 2.1k 1.0× 1.3k 0.7× 839 0.8× 103 0.2× 555 0.9× 99 7.6k
James H. Albert United States 18 2.0k 0.9× 1.1k 0.7× 992 0.9× 181 0.3× 650 1.0× 55 4.3k

Countries citing papers authored by Robert E. McCulloch

Since Specialization
Citations

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

Fields of papers citing papers by Robert E. McCulloch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert E. McCulloch. 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 Robert E. McCulloch. The network helps show where Robert E. McCulloch may publish in the future.

Co-authorship network of co-authors of Robert E. McCulloch

This figure shows the co-authorship network connecting the top 25 collaborators of Robert E. McCulloch. A scholar is included among the top collaborators of Robert E. McCulloch 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 Robert E. McCulloch. Robert E. McCulloch 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
1.
Sparapani, Rodney, Brent R. Logan, Martin Maiers, Purushottam W. Laud, & Robert E. McCulloch. (2023). Nonparametric Failure Time: Time-to-Event Machine Learning with Heteroskedastic Bayesian Additive Regression Trees and Low Information Omnibus Dirichlet Process Mixtures. Biometrics. 79(4). 3023–3037. 7 indexed citations
2.
Gilula, Zvi, Robert E. McCulloch, & Peter E. Rossi. (2006). A Direct Approach to Data Fusion. Journal of Marketing Research. 43(1). 73–83. 38 indexed citations
3.
Gilula, Zvi, Robert E. McCulloch, & Peter E. Rossi. (2004). A Direct Approach to Data Fusion. SSRN Electronic Journal. 3 indexed citations
4.
Chipman, Hugh, Edward I. George, & Robert E. McCulloch. (2001). Managing Multiple Models.. International Conference on Artificial Intelligence and Statistics. 7 indexed citations
5.
McCulloch, Robert E. & Ruey S. Tsay. (2001). Nonlinearity in High-Frequency Financial Data and Hierarchical Models. Studies in Nonlinear Dynamics and Econometrics. 5(1). 1–17. 30 indexed citations
6.
McCulloch, Robert E., Nicholas G. Polson, & Peter E. Rossi. (2000). A Bayesian analysis of the multinomial probit model with fully identified parameters. Journal of Econometrics. 99(1). 173–193. 186 indexed citations
7.
Chipman, Hugh, Edward I. George, & Robert E. McCulloch. (1998). Bayesian CART Model Search. Journal of the American Statistical Association. 93(443). 935–948. 422 indexed citations
8.
George, Edward I. & Robert E. McCulloch. (1997). APPROACHES FOR BAYESIAN VARIABLE SELECTION. Statistica Sinica. 7(2). 339–373. 750 indexed citations breakdown →
9.
Chen, Cathy W. S., Robert E. McCulloch, & Ruey S. Tsay. (1997). A UNIFIED APPROACH TO ESTIMATING AND MODELING LINEAR AND NONLINEAR TIME SERIES. Statistica Sinica. 7(2). 451–472. 8 indexed citations
10.
Rossi, Peter E., Robert E. McCulloch, & Greg M. Allenby. (1996). The Value of Purchase History Data in Target Marketing. Marketing Science. 15(4). 321–340. 578 indexed citations breakdown →
11.
McCulloch, Robert E. & Ruey S. Tsay. (1994). STATISTICAL ANALYSIS OF ECONOMIC TIME SERIES VIA MARKOV SWITCHING MODELS. Journal of Time Series Analysis. 15(5). 523–539. 105 indexed citations
12.
George, Edward I. & Robert E. McCulloch. (1993). Variable Selection via Gibbs Sampling. Journal of the American Statistical Association. 88(423). 881–889. 1745 indexed citations breakdown →
13.
McCulloch, Robert E. & Ruey S. Tsay. (1993). Bayesian Inference and Prediction for Mean and Variance Shifts in Autoregressive Time Series. Journal of the American Statistical Association. 88(423). 968–978. 116 indexed citations
14.
George, Edward I. & Robert E. McCulloch. (1993). Variable Selection Via Gibbs Sampling. Journal of the American Statistical Association. 88(423). 881–881. 266 indexed citations
15.
Cook, R. Dennis, José D. Bermúdez, Julián de la Horra, et al.. (1993). Exploring regression structure with graphics. Test. 2(1-2). 33–100. 13 indexed citations
16.
McCulloch, Robert E. & Peter E. Rossi. (1992). Bayes factors for nonlinear hypotheses and likelihood distributions. Biometrika. 79(4). 663–676. 28 indexed citations
17.
Easton, George S. & Robert E. McCulloch. (1990). A Multivariate Generalization of Quantile-Quantile Plots. Journal of the American Statistical Association. 85(410). 376–386. 45 indexed citations
18.
Easton, George S. & Robert E. McCulloch. (1990). A Multivariate Generalization of Quantile-Quantile Plots. Journal of the American Statistical Association. 85(410). 376–376. 10 indexed citations
19.
McCulloch, Robert E.. (1989). Local Model Influence. Journal of the American Statistical Association. 84(406). 473–478. 135 indexed citations
20.
McCulloch, Robert E., et al.. (1987). Added-Variable Plots in Linear Regression. Technometrics. 29(4). 427–427. 9 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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