Paul Fearnhead

12.0k total citations · 2 hit papers
124 papers, 6.4k citations indexed

About

Paul Fearnhead is a scholar working on Artificial Intelligence, Statistics and Probability and Genetics. According to data from OpenAlex, Paul Fearnhead has authored 124 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 47 papers in Statistics and Probability and 23 papers in Genetics. Recurrent topics in Paul Fearnhead's work include Bayesian Methods and Mixture Models (38 papers), Statistical Methods and Inference (24 papers) and Markov Chains and Monte Carlo Methods (18 papers). Paul Fearnhead is often cited by papers focused on Bayesian Methods and Mixture Models (38 papers), Statistical Methods and Inference (24 papers) and Markov Chains and Monte Carlo Methods (18 papers). Paul Fearnhead collaborates with scholars based in United Kingdom, United States and France. Paul Fearnhead's co-authors include Idris A. Eckley, Rebecca Killick, Philip Awadalla, Gil McVean, Dennis Prangle, Peter Donnelly, Peter Clifford, Gareth O. Roberts, Zhen Liu and Guillem Rigaill and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and PLoS ONE.

In The Last Decade

Paul Fearnhead

120 papers receiving 6.1k citations

Hit Papers

Optimal Detection of Chan... 2002 2026 2010 2018 2012 2002 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Fearnhead United Kingdom 35 1.8k 1.5k 993 971 656 124 6.4k
Stephen P. Brooks United States 34 1.3k 0.7× 2.0k 1.3× 580 0.6× 855 0.9× 123 0.2× 121 11.0k
Walter R. Gilks United Kingdom 28 3.4k 1.9× 3.7k 2.5× 1.9k 1.9× 1.0k 1.1× 132 0.2× 78 12.4k
J. C. Gower United Kingdom 35 1.7k 0.9× 1.0k 0.7× 1.5k 1.5× 1.8k 1.9× 1.2k 1.9× 146 15.2k
Thomas M. Loughin United States 27 507 0.3× 1.2k 0.8× 560 0.6× 322 0.3× 308 0.5× 106 7.0k
David B. Dunson United States 55 3.5k 1.9× 3.5k 2.4× 989 1.0× 737 0.8× 83 0.1× 323 12.5k
Chris Holmes United Kingdom 42 1.8k 1.0× 1.2k 0.8× 1.6k 1.6× 972 1.0× 59 0.1× 146 6.5k
George A. F. Seber New Zealand 33 959 0.5× 2.9k 2.0× 509 0.5× 846 0.9× 215 0.3× 92 14.1k
Leonhard Held Switzerland 45 1.2k 0.7× 1.8k 1.3× 369 0.4× 412 0.4× 96 0.1× 212 8.8k
Kenneth Lange United States 56 1.8k 1.0× 2.6k 1.7× 5.1k 5.1× 10.0k 10.3× 263 0.4× 274 23.2k
M. P. Wand Australia 50 2.9k 1.6× 6.3k 4.3× 752 0.8× 555 0.6× 86 0.1× 185 13.2k

Countries citing papers authored by Paul Fearnhead

Since Specialization
Citations

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

Fields of papers citing papers by Paul Fearnhead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Fearnhead

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Fearnhead. A scholar is included among the top collaborators of Paul Fearnhead 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 Paul Fearnhead. Paul Fearnhead 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.
Fearnhead, Paul, et al.. (2024). Improving power by conditioning on less in post-selection inference for changepoints. Statistics and Computing. 35(1). 1 indexed citations
2.
Yang, Ziyang, Idris A. Eckley, & Paul Fearnhead. (2024). A communication-efficient, online changepoint detection method for monitoring distributed sensor networks. Statistics and Computing. 34(3). 1 indexed citations
3.
Fearnhead, Paul, et al.. (2024). PDMP Monte Carlo methods for piecewise smooth densities. Advances in Applied Probability. 56(4). 1153–1194.
4.
Hocking, Toby Dylan, et al.. (2023). gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection. Journal of Statistical Software. 106(6). 3 indexed citations
5.
Nemeth, Christopher, et al.. (2023). Stochastic Gradient MCMC for Nonlinear State Space Models. Bayesian Analysis. 20(1). 1 indexed citations
6.
Eckley, Idris A., et al.. (2023). Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection. Journal of the American Statistical Association. 120(549). 7–19. 7 indexed citations
7.
Fearnhead, Paul, et al.. (2018). Large-Scale Stochastic Sampling from the Probability Simplex. Lancaster EPrints (Lancaster University). 31. 6721–6731. 2 indexed citations
8.
Fearnhead, Paul, et al.. (2016). A computationally efficient nonparametric approach for changepoint detection. Statistics and Computing. 27(5). 1293–1305. 89 indexed citations
9.
Nemeth, Christopher, Paul Fearnhead, & Lyudmila Mihaylova. (2015). Particle Approximations of the Score and Observed Information Matrix for Parameter Estimation in State–Space Models With Linear Computational Cost. Journal of Computational and Graphical Statistics. 25(4). 1138–1157. 14 indexed citations
10.
Prangle, Dennis, Paul Fearnhead, Murray P. Cox, Patrick J. Biggs, & Nigel French. (2013). Semi-automatic selection of summary statistics for ABC model choice. Statistical Applications in Genetics and Molecular Biology. 13(1). 67–82. 37 indexed citations
11.
Fearnhead, Paul & Dennis Prangle. (2012). Constructing Summary Statistics for Approximate Bayesian Computation: Semi-Automatic Approximate Bayesian Computation. Journal of the Royal Statistical Society Series B (Statistical Methodology). 74(3). 419–474. 303 indexed citations
12.
Biggs, Patrick J., Paul Fearnhead, Grant S. Hotter, et al.. (2011). Whole-Genome Comparison of Two Campylobacter jejuni Isolates of the Same Sequence Type Reveals Multiple Loci of Different Ancestral Lineage. PLoS ONE. 6(11). e27121–e27121. 26 indexed citations
13.
Fearnhead, Paul & Dennis Prangle. (2010). Semi-automatic Approximate Bayesian Computation. arXiv (Cornell University). 9 indexed citations
14.
Gabriel, Edith, Daniel J. Wilson, A. J. H. Leatherbarrow, et al.. (2010). Spatio-temporal epidemiology of Campylobacter jejuni enteritis, in an area of Northwest England, 2000–2002. Epidemiology and Infection. 138(10). 1384–1390. 15 indexed citations
15.
Wilson, Daniel J., Edith Gabriel, A. J. H. Leatherbarrow, et al.. (2008). Rapid Evolution and the Importance of Recombination to the Gastroenteric Pathogen Campylobacter jejuni. Molecular Biology and Evolution. 26(2). 385–397. 133 indexed citations
16.
Fearnhead, Paul, Rosalind M. Harding, Julie A. Schneider, Simon Myers, & Peter Donnelly. (2004). Application of Coalescent Methods to Reveal Fine-Scale Rate Variation and Recombination Hotspots. Genetics. 167(4). 2067–2081. 34 indexed citations
17.
Fearnhead, Paul. (2003). Ancestral processes for non-neutral models of complex diseases. Theoretical Population Biology. 63(2). 115–130. 14 indexed citations
18.
Fearnhead, Paul & Peter Donnelly. (2002). Approximate likelihood methods for estimating local recombination rates (with discussion).. Diabetology & Metabolic Syndrome. 7. 7–7. 12 indexed citations
19.
Fearnhead, Paul & Peter Donnelly. (2001). Estimating Recombination Rates From Population Genetic Data. Genetics. 159(3). 1299–1318. 245 indexed citations
20.
Carpenter, James R., et al.. (1999). Building Robust Simulation-based Filters for Evolving Data Sets. 22 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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