Brett Presnell

1.9k total citations
37 papers, 1.3k citations indexed

About

Brett Presnell is a scholar working on Statistics and Probability, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Brett Presnell has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 5 papers in Environmental Engineering. Recurrent topics in Brett Presnell's work include Statistical Methods and Inference (13 papers), Advanced Statistical Methods and Models (13 papers) and Statistical Methods and Bayesian Inference (9 papers). Brett Presnell is often cited by papers focused on Statistical Methods and Inference (13 papers), Advanced Statistical Methods and Models (13 papers) and Statistical Methods and Bayesian Inference (9 papers). Brett Presnell collaborates with scholars based in United States, Australia and Switzerland. Brett Presnell's co-authors include Berwin A. Turlach, M. R. Osborne, Peter Hall, Peter Hall, D. S. Poskitt, Théo Gasser, Ramon C. Littell, Lora L. Bohn, Jayaram Sethuraman and Myles Hollander and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Statistics in Medicine.

In The Last Decade

Brett Presnell

34 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brett Presnell United States 13 705 361 159 119 111 37 1.3k
James R. Schott United States 19 745 1.1× 346 1.0× 103 0.6× 83 0.7× 78 0.7× 46 1.6k
Xiangrong Yin United States 16 795 1.1× 292 0.8× 169 1.1× 114 1.0× 65 0.6× 59 1.1k
Aurore Delaigle Australia 24 1.1k 1.5× 445 1.2× 69 0.4× 192 1.6× 147 1.3× 62 1.6k
Colin L. Mallows United States 15 519 0.7× 271 0.8× 64 0.4× 88 0.7× 100 0.9× 55 1.7k
Yanyuan Ma United States 23 1.4k 2.0× 397 1.1× 87 0.5× 104 0.9× 198 1.8× 137 1.9k
Chenlei Leng Singapore 22 1.4k 1.9× 498 1.4× 179 1.1× 168 1.4× 102 0.9× 75 2.1k
Heng Lian China 24 1.3k 1.9× 578 1.6× 157 1.0× 250 2.1× 86 0.8× 222 1.9k
Marten Wegkamp United States 16 613 0.9× 517 1.4× 137 0.9× 107 0.9× 59 0.5× 42 1.3k
Mohsen Pourahmadi United States 17 524 0.7× 247 0.7× 71 0.4× 102 0.9× 55 0.5× 64 1.3k
Alessandro Rinaldo United States 20 567 0.8× 565 1.6× 103 0.6× 88 0.7× 82 0.7× 57 1.5k

Countries citing papers authored by Brett Presnell

Since Specialization
Citations

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

Fields of papers citing papers by Brett Presnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brett Presnell. 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 Brett Presnell. The network helps show where Brett Presnell may publish in the future.

Co-authorship network of co-authors of Brett Presnell

This figure shows the co-authorship network connecting the top 25 collaborators of Brett Presnell. A scholar is included among the top collaborators of Brett Presnell 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 Brett Presnell. Brett Presnell 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.
Presnell, Brett, et al.. (2024). A Composite Score for Predicting Vertical Transmission of Hepatitis C: A Multicenter Study. Pathogens. 13(1). 45–45. 2 indexed citations
2.
Giurcanu, Mihai & Brett Presnell. (2023). Bootstrap inference for a class of non-regular estimators. Bernoulli. 29(3). 1 indexed citations
3.
Giurcanu, Mihai & Brett Presnell. (2018). Oracle GMM estimation for misspecified models via thresholding. Communication in Statistics- Theory and Methods. 48(11). 2657–2686. 1 indexed citations
4.
Giurcanu, Mihai & Brett Presnell. (2018). Bootstrapping LASSO-type estimators in regression models. Journal of Statistical Planning and Inference. 199. 114–125. 4 indexed citations
5.
Presnell, Brett, et al.. (2017). An improved test of equality of mean directions for the Langevin‐von Mises‐Fisher distribution. Australian & New Zealand Journal of Statistics. 59(1). 119–135. 6 indexed citations
6.
Giurcanu, Mihai & Brett Presnell. (2017). Bootstrap inference for misspecified moment condition models. Annals of the Institute of Statistical Mathematics. 70(3). 605–630. 6 indexed citations
7.
Capanu, Marinela & Brett Presnell. (2007). Misspecification tests for binomial and beta‐binomial models. Statistics in Medicine. 27(14). 2536–2554. 8 indexed citations
8.
Presnell, Brett & Dennis D. Boos. (2004). The IOS Test for Model Misspecification. Journal of the American Statistical Association. 99(465). 216–227. 23 indexed citations
9.
Presnell, Brett & Dennis D. Boos. (2002). The in-and-out-of-sample (IOS) likelihood ratio test for model misspecification. NCSU Libraries Repository (North Carolina State University Libraries). 1 indexed citations
10.
Hall, Peter, D. S. Poskitt, & Brett Presnell. (2001). A Functional Data—Analytic Approach to Signal Discrimination. Technometrics. 43(1). 1–9. 125 indexed citations
11.
Presnell, Brett & Jeffrey D. Hart. (2000). Nonparametric Smoothing and Lack-of-Fit Tests. Journal of the American Statistical Association. 95(449). 333–333.
12.
Hall, Peter & Brett Presnell. (1999). Density Estimation under Constraints. Journal of Computational and Graphical Statistics. 8(2). 259–277. 27 indexed citations
13.
Hall, Peter & Brett Presnell. (1999). Biased Bootstrap Methods for Reducing the Effects of Contamination. Journal of the Royal Statistical Society Series B (Statistical Methodology). 61(3). 661–680. 23 indexed citations
14.
Hall, Peter & Brett Presnell. (1999). Intentionally Biased Bootstrap Methods. Journal of the Royal Statistical Society Series B (Statistical Methodology). 61(1). 143–158. 104 indexed citations
15.
Presnell, Brett, et al.. (1998). Projected Multivariate Linear Models for Directional Data. Journal of the American Statistical Association. 93(443). 1068–1077. 77 indexed citations
16.
Booth, James G. & Brett Presnell. (1998). Allocation of Monte Carlo Resources for the Iterated Bootstrap. Journal of Computational and Graphical Statistics. 7(1). 92–112. 10 indexed citations
17.
Booth, James C. & Brett Presnell. (1998). Allocation of Monte Carlo Resources for the Iterated Bootstrap. Journal of Computational and Graphical Statistics. 7(1). 92–92. 5 indexed citations
18.
Presnell, Brett. (1996). Bootstrap unconditionalP-Values for the Sign Test with Ties and the 2 × 2 Matched-Pairs Trial. Journal of nonparametric statistics. 7(1). 47–55. 2 indexed citations
19.
Presnell, Brett, et al.. (1996). Modern Applied Statistics With S-Plus.. Journal of the American Statistical Association. 91(433). 433–433. 5 indexed citations
20.
Presnell, Brett, Myles Hollander, & Jayaram Sethuraman. (1994). Testing the Minimal Repair Assumption in an Imperfect Repair Model. Journal of the American Statistical Association. 89(425). 289–297. 12 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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