Antony M. Overstall

533 total citations
21 papers, 294 citations indexed

About

Antony M. Overstall is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Antony M. Overstall has authored 21 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 11 papers in Management Science and Operations Research and 9 papers in Artificial Intelligence. Recurrent topics in Antony M. Overstall's work include Optimal Experimental Design Methods (10 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Statistical Methods and Bayesian Inference (7 papers). Antony M. Overstall is often cited by papers focused on Optimal Experimental Design Methods (10 papers), Advanced Multi-Objective Optimization Algorithms (8 papers) and Statistical Methods and Bayesian Inference (7 papers). Antony M. Overstall collaborates with scholars based in United Kingdom, Australia and Netherlands. Antony M. Overstall's co-authors include David C. Woods, Ruth King, Sheila M. Bird, Jonathan J. Forster, Sharon Hutchinson, Gordon Hay, James McGree, Christopher Drovandi, Daniel W. Heck and Quentin F. Gronau and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Antony M. Overstall

20 papers receiving 278 citations

Peers

Antony M. Overstall
John F. Brewster Canada
Ori Davidov Israel
Michael Levine United States
Monica Musio Italy
Lutz Mattner Germany
Zhi Geng China
R. Webster West United States
Siegfried Schach Germany
John F. Brewster Canada
Antony M. Overstall
Citations per year, relative to Antony M. Overstall Antony M. Overstall (= 1×) peers John F. Brewster

Countries citing papers authored by Antony M. Overstall

Since Specialization
Citations

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

Fields of papers citing papers by Antony M. Overstall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antony M. Overstall. 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 Antony M. Overstall. The network helps show where Antony M. Overstall may publish in the future.

Co-authorship network of co-authors of Antony M. Overstall

This figure shows the co-authorship network connecting the top 25 collaborators of Antony M. Overstall. A scholar is included among the top collaborators of Antony M. Overstall 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 Antony M. Overstall. Antony M. Overstall 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.
2.
Gill, Andrew, David J. Warne, Clare A. McGrory, James McGree, & Antony M. Overstall. (2022). Robust Simulation Design for Generalized Linear Models in Conditions of Heteroscedasticity or Correlation. 2022 Winter Simulation Conference (WSC). 37–48. 1 indexed citations
3.
Overstall, Antony M.. (2021). Properties of Fisher information gain for Bayesian design of experiments. Journal of Statistical Planning and Inference. 218. 138–146. 2 indexed citations
4.
Overstall, Antony M., et al.. (2020). Bayesian adaptive N-of-1 trials for estimating population and individual treatment effects. QUT ePrints (Queensland University of Technology). 6 indexed citations
5.
King, Ruth, et al.. (2020). Multiple Systems Estimation for Modern Slavery: Robustness of List Omission and Combination. Crime & Delinquency. 67(13-14). 2213–2236. 6 indexed citations
6.
Overstall, Antony M., et al.. (2020). acebayes: An R Package for Bayesian Optimal Design of Experiments via Approximate Coordinate Exchange. Journal of Statistical Software. 95(13). 4 indexed citations
7.
Cruyff, Maarten, Antony M. Overstall, Michail Papathomas, & Rachel S. McCrea. (2020). Multiple System Estimation of Victims of Human Trafficking: Model Assessment and Selection. Crime & Delinquency. 67(13-14). 2237–2253. 3 indexed citations
8.
Overstall, Antony M., et al.. (2019). Bayesian Optimal Design for Ordinary Differential Equation Models With Application in Biological Science. Journal of the American Statistical Association. 115(530). 583–598. 9 indexed citations
9.
Heck, Daniel W., Antony M. Overstall, Quentin F. Gronau, & Eric‐Jan Wagenmakers. (2018). Quantifying uncertainty in transdimensional Markov chain Monte Carlo using discrete Markov models. Statistics and Computing. 29(4). 631–643. 6 indexed citations
10.
Overstall, Antony M., James McGree, & Christopher Drovandi. (2017). An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions. Statistics and Computing. 28(2). 343–358. 20 indexed citations
11.
Woods, David C., et al.. (2016). Bayesian design of experiments for generalized linear models and dimensional analysis with industrial and scientific application. Quality Engineering. 29(1). 91–103. 13 indexed citations
12.
Overstall, Antony M. & David C. Woods. (2016). Multivariate Emulation of Computer Simulators: Model Selection and Diagnostics with Application to a Humanitarian Relief Model. Journal of the Royal Statistical Society Series C (Applied Statistics). 65(4). 483–505. 14 indexed citations
13.
Overstall, Antony M. & David C. Woods. (2016). Bayesian Design of Experiments Using Approximate Coordinate Exchange. Technometrics. 59(4). 458–470. 62 indexed citations
14.
Overstall, Antony M. & Ruth King. (2014). conting: AnRPackage for Bayesian Analysis of Complete and Incomplete Contingency Tables. Journal of Statistical Software. 58(7). 22 indexed citations
15.
Overstall, Antony M. & Ruth King. (2013). A default prior distribution for contingency tables with dependent factor levels. Statistical Methodology. 16(100). 90–99. 8 indexed citations
16.
Overstall, Antony M. & David C. Woods. (2013). A Strategy for Bayesian Inference for Computationally Expensive Models with Application to the Estimation of Stem Cell Properties. Biometrics. 69(2). 458–468. 5 indexed citations
17.
King, Ruth, Sheila M. Bird, Antony M. Overstall, Gordon Hay, & Sharon Hutchinson. (2013). Estimating Prevalence of Injecting Drug Users and Associated Heroin-Related Death Rates in England by Using Regional Data and Incorporating Prior Information. Journal of the Royal Statistical Society Series A (Statistics in Society). 177(1). 209–236. 30 indexed citations
18.
King, Ruth, Sheila M. Bird, Antony M. Overstall, Gordon Hay, & Sharon Hutchinson. (2012). Injecting drug users in Scotland, 2006: Listing, number, demography, and opiate-related death-rates. Addiction Research & Theory. 21(3). 235–246. 21 indexed citations
19.
Forster, Jonathan J., et al.. (2010). Reversible jump methods for generalised linear models and generalised linear mixed models. Statistics and Computing. 22(1). 107–120. 12 indexed citations
20.
Overstall, Antony M. & Jonathan J. Forster. (2010). Default Bayesian model determination methods for generalised linear mixed models. Computational Statistics & Data Analysis. 54(12). 3269–3288. 24 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by John F. Brewster Breakdown of academic impact, for papers by Ori Davidov Breakdown of academic impact, for papers by Michael Levine Breakdown of academic impact, for papers by Monica Musio Breakdown of academic impact, for papers by Lutz Mattner Breakdown of academic impact, for papers by Zhi Geng Breakdown of academic impact, for papers by R. Webster West Breakdown of academic impact, for papers by Siegfried Schach
Rankless by CCL
2026