Dennis Prangle
Impact in
- Statistics and Probability top 0.5%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
- Modeling and Simulation top 10%
Papers in
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- Markov Chains and Monte Carlo Methods 15
- Statistical Distribution Estimation and Applications 1
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- Optimal Experimental Design Methods 2
- Co-authors
- Paul Fearnhead (3 shared papers)Scott A. Sisson (3 shared papers)Michaël G. B. Blum (2 shared papers)Matthew A. Nunes (1 shared paper)Theodore Kypraios (2 shared papers)Peter J. Neal (1 shared paper)Ceri G. Falys (1 shared paper)Gordana C. Popovic (1 shared paper)
- Journals
- Bayesian Analysis (3 papers)Statistics and Computing (2 papers)The R Journal (2 papers)American Journal of Physical Anthropology (1 paper)Journal of the Royal Statistical Society Series B (Statistical Methodology) (1 paper)
- Partner nations
- United KingdomAustraliaFrance
In The Last Decade
Dennis Prangle
21 papers receiving 956 citations
Peers
Comparison fields: 5 of 88
- Statistics and Probability 586
- Modeling and Simulation 32
- Archeology 49
- Statistics, Probability and Uncertainty 26
- Genetics 85
Countries citing papers authored by Dennis Prangle
This map shows the geographic impact of Dennis Prangle'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 Dennis Prangle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis Prangle more than expected).
Fields of papers citing papers by Dennis Prangle
This network shows the impact of papers produced by Dennis Prangle. 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 Dennis Prangle. The network helps show where Dennis Prangle may publish in the future.
Co-authors
The 25 scholars most cited alongside Dennis Prangle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 370 | |
| 2 | 2013 | 237 | |
| 3 | 2016 | 75 | |
| 4 | 2014 | 49 | |
| 5 | 2014 | 47 | |
| 6 | 2013 | 46 | |
| 7 | 2015 | 38 | |
| 8 | Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation (with Discussion) | 2012 | 31 |
| 9 | 2014 | 31 | |
| 10 | 2017 | 16 | |
| 11 | 2018 | 16 | |
| 12 | 2018 | 12 | |
| 13 | 2021 | 11 | |
| 14 | 2017 | 10 | |
| 15 | 2020 | 5 | |
| 16 | 2020 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2016 | 1 | |
| 20 | 2020 | 1 |
About Dennis Prangle
Dennis Prangle is a scholar working on Statistics and Probability, Management Science and Operations Research, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 22 papers that have together received 1k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (15 papers), Optimal Experimental Design Methods (2 papers), Statistical Distribution Estimation and Applications (1 paper), Ethics and Social Impacts of AI (1 paper), Probabilistic and Robust Engineering Design (1 paper), Gaussian Processes and Bayesian Inference (1 paper), Geotechnical Engineering and Analysis (1 paper) and Sustainability and Climate Change Governance (1 paper). The work is most often cited by research in Statistics and Probability (586 citations), Modeling and Simulation (32 citations), Archeology (49 citations), Statistics, Probability and Uncertainty (26 citations) and Genetics (85 citations). Dennis Prangle has collaborated with scholars based in United Kingdom, Australia and France. Frequent co-authors include Paul Fearnhead, Scott A. Sisson, Michaël G. B. Blum, Matthew A. Nunes, Theodore Kypraios, Peter J. Neal, Ceri G. Falys, Gordana C. Popovic, Murray P. Cox and Nigel Peter French. Their work appears in journals such as Bayesian Analysis, Statistics and Computing, The R Journal, American Journal of Physical Anthropology and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.