Dennis Prangle
Impact in
- Statistics and Probability top 1%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models
- Gaussian Processes and Bayesian Inference
Papers in
-
- Markov Chains and Monte Carlo Methods 12
- Statistical Methods and Bayesian Inference 4
- Statistical Methods and Inference 3
-
- Gaussian Processes and Bayesian Inference 7
- Bayesian Methods and Mixture Models 7
- Co-authors
- Paul Fearnhead (4 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)Ceri Falys (1 shared paper)Peter Neal (1 shared paper)Gordana Popović (1 shared paper)
- Journals
- Statistics and Computing (2 papers)American Journal of Physical Anthropology (1 paper)Computational Statistics & Data Analysis (1 paper)Mathematical Biosciences (1 paper)The R Journal (1 paper)
- Partner nations
- United KingdomAustraliaFrance
In The Last Decade
Dennis Prangle
16 papers receiving 777 citations
Peers
Comparison fields: 5 of 110
- Statistics and Probability 453
- Artificial Intelligence 420
- Modeling and Simulation 48
- Statistics, Probability and Uncertainty 73
- Mathematical Physics 60
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 19 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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 303 | |
| 2 | 2013 | 196 | |
| 3 | 2016 | 60 | |
| 4 | 2014 | 42 | |
| 5 | 2013 | 37 | |
| 6 | 2015 | 34 | |
| 7 | 2014 | 31 | |
| 8 | Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation (with Discussion) | 2012 | 24 |
| 9 | 2014 | 20 | |
| 10 | 2017 | 12 | |
| 11 | Semi-automatic Approximate Bayesian Computation | 2010 | 9 |
| 12 | 2017 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2018 | 7 | |
| 15 | 2022 | 2 | |
| 16 | 2021 | 1 | |
| 17 | 2023 | 0 |
About Dennis Prangle
Dennis Prangle is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Mathematical Physics and Molecular Biology, having authored 17 papers that have together received 795 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (12 papers), Gaussian Processes and Bayesian Inference (7 papers), Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Bayesian Inference (4 papers), Probabilistic and Robust Engineering Design (3 papers), Statistical Methods and Inference (3 papers), Stochastic processes and statistical mechanics (2 papers) and Cleft Lip and Palate Research (1 paper). The work is most often cited by research in Statistics and Probability (453 citations), Artificial Intelligence (420 citations), Modeling and Simulation (48 citations), Statistics, Probability and Uncertainty (73 citations) and Mathematical Physics (60 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, Ceri Falys, Peter Neal, Gordana Popović, Murray P. Cox and Patrick J. Biggs. Their work appears in journals such as Statistics and Computing, American Journal of Physical Anthropology, Computational Statistics & Data Analysis, Mathematical Biosciences and The R Journal.
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.