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My work has been highlighted by the University of Bristol: 

• Bristol scientists honoured by Royal Society
• Bristol’s ‘Beckhams of Science’
• Vital statistics
• and is indexed by Google Scholar.

I have been "highly-cited" and in about 2005 was interviewed by the ISI highly-cited team about one of my papers.

Published since 2020

(more complete list at Publications)

• Healthcare serial killer or coincidence? Statistical issues in investigation of suspected medical misconduct, by the RSS Statistics and the Law section, working group chaired by Peter J. Green (2022) (pdf). Also Summary version. Errata.
• Inference about complex relationships using peak height data from DNA mixtures, by Peter J. Green and Julia Mortera (published online 7 July 2021, open access); also on arXiv. Applied Statistics, 70, 1049-1082 (2021). Associated R package and User guide: KinMix.
• Casework applications of probabilistic genotyping methods for DNA mixtures that allow relationships between contributors, by Peter J. Green, Julia Mortera and Lourdes Prieto (2021), Forensic Science International: Genetics, vol 52, paper 102482; also on arXiv.
• COVID-19 and the difficulty of inferring epidemiological parameters from clinical data, by Simon N. Wood , Ernst C. Wit, Matteo Fasiolo and Peter J. Green (2020). Published in The Lancet: Infectious Diseases, 28 May 2020. Supplementary material. https://arxiv.org/abs/2004.14482 includes also longer original version.
• Analysis of grouped data using conjugate generalized linear mixed models, by Jarod Y.L. Lee, Peter J. Green, Louise M. Ryan (2020) (pdf). Biometrika, 107, 231-237. https://doi.org/10.1093/biomet/asz053. On ArXiv: https://arxiv.org/abs/1709.06288.
• Bayesian protein sequence and structure alignment, by Christopher J. Fallaize, Peter J. Green, Kanti V. Mardia and Stuart Barber. Journal of the Royal Statistical Society (C), 69, 301-325 (2020). ArXiv: http://arxiv.org/abs/1404.1556. https://doi.org/10.1111/rssc.12394

Other reports and papers - not yet published

• On the "Poisson Trick" and its Extensions for Fitting Multinomial Regression Models, by Jarod Y.L. Lee, Peter J. Green, Louise M. Ryan (2017) (pdf). On ArXiv: http://arxiv.org/abs/1707.08538.
• Consistency and efficiency of Bayesian estimators in generalised linear inverse problems, by Natalia Bochkina and Peter J. Green (2012). On ArXiv: http://arxiv.org/abs/1110.3015.