Richard J. Boys

1.6k total citations
47 papers, 1.1k citations indexed

About

Richard J. Boys is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Richard J. Boys has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Artificial Intelligence and 9 papers in Statistics and Probability. Recurrent topics in Richard J. Boys's work include Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Bayesian Inference (7 papers) and Genomics and Phylogenetic Studies (6 papers). Richard J. Boys is often cited by papers focused on Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Bayesian Inference (7 papers) and Genomics and Phylogenetic Studies (6 papers). Richard J. Boys collaborates with scholars based in United Kingdom, Australia and Ireland. Richard J. Boys's co-authors include Darren J. Wilkinson, Daniel A. Henderson, Colin S. Gillespie, Jan Scott, D. Eccleston, Carole J. Proctor, Thomas B. L. Kirkwood, Daryl P. Shanley, Stephen C. Robson and Dilly Anumba and has published in prestigious journals such as Nature Reviews Molecular Cell Biology, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Richard J. Boys

46 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard J. Boys United Kingdom 18 323 128 113 103 99 47 1.1k
Xia Shen China 29 1.0k 3.2× 86 0.7× 92 0.8× 21 0.2× 58 0.6× 125 2.9k
Robert B. Scharpf United States 19 1.5k 4.7× 99 0.8× 125 1.1× 24 0.2× 111 1.1× 74 2.6k
Nima Aghaeepour United States 30 1.2k 3.8× 150 1.2× 42 0.4× 285 2.8× 94 0.9× 119 2.9k
Pei Fen Kuan United States 30 1.9k 5.8× 74 0.6× 71 0.6× 27 0.3× 58 0.6× 91 2.9k
Gad Abraham Australia 18 511 1.6× 61 0.5× 117 1.0× 23 0.2× 210 2.1× 25 1.9k
Enes Makalic Australia 18 590 1.8× 125 1.0× 59 0.5× 11 0.1× 19 0.2× 64 1.2k
Andrey A. Shabalin United States 24 1.7k 5.1× 64 0.5× 74 0.7× 23 0.2× 40 0.4× 61 2.7k
Rong Chen United States 21 840 2.6× 130 1.0× 88 0.8× 25 0.2× 39 0.4× 57 1.8k
Ruowang Li United States 13 1.5k 4.7× 94 0.7× 30 0.3× 87 0.8× 26 0.3× 26 2.2k
Paul Kirk United Kingdom 24 992 3.1× 180 1.4× 19 0.2× 69 0.7× 273 2.8× 64 2.4k

Countries citing papers authored by Richard J. Boys

Since Specialization
Citations

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

Fields of papers citing papers by Richard J. Boys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard J. Boys. 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 Richard J. Boys. The network helps show where Richard J. Boys may publish in the future.

Co-authorship network of co-authors of Richard J. Boys

This figure shows the co-authorship network connecting the top 25 collaborators of Richard J. Boys. A scholar is included among the top collaborators of Richard J. Boys 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 Richard J. Boys. Richard J. Boys 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.
Heaps, Sarah E., et al.. (2020). Generalizing rate heterogeneity across sites in statistical phylogenetics. Statistical Modelling. 20(4). 410–436. 1 indexed citations
2.
Boys, Richard J. & Pete Philipson. (2018). On the Ranking of Test Match Batsmen. Journal of the Royal Statistical Society Series C (Applied Statistics). 68(1). 161–179. 8 indexed citations
3.
Nye, Tom M. W., et al.. (2017). Probabilistic Distances Between Trees. Systematic Biology. 67(2). 320–327. 10 indexed citations
4.
Golightly, Andrew, et al.. (2016). Improved bridge constructs for stochastic differential equations. Statistics and Computing. 27(4). 885–900. 14 indexed citations
5.
Heaps, Sarah E., Richard J. Boys, & Malcolm Farrow. (2015). Bayesian Modelling of Rainfall Data by Using Non-Homogeneous Hidden Markov Models and Latent Gaussian Variables. Journal of the Royal Statistical Society Series C (Applied Statistics). 64(3). 543–568. 9 indexed citations
6.
Golightly, Andrew, Richard J. Boys, Kerry Cameron, & Thomas von Zglinicki. (2012). The Effect of Late Onset, Short-Term Caloric Restriction on the Core Temperature and Physical Activity in Mice. Journal of the Royal Statistical Society Series C (Applied Statistics). 61(5). 733–751. 5 indexed citations
7.
Baggaley, Andrew W., Graeme R. Sarson, Anvar Shukurov, Richard J. Boys, & Andrew Golightly. (2012). Bayesian inference for a wave-front model of the neolithization of Europe. Physical Review E. 86(1). 16105–16105. 12 indexed citations
8.
Cameron, Kerry, Andrew Golightly, Satomi Miwa, et al.. (2011). Gross energy metabolism in mice under late onset, short term caloric restriction. Mechanisms of Ageing and Development. 132(4). 202–209. 15 indexed citations
9.
Chen, Yuhui, et al.. (2010). CaliBayes and BASIS: integrated tools for the calibration, simulation and storage of biological simulation models. Briefings in Bioinformatics. 11(3). 278–289. 17 indexed citations
10.
Gillespie, Colin S., Guiyuan Lei, Richard J. Boys, Amanda Greenall, & Darren J. Wilkinson. (2010). Analysing time course microarray data using Bioconductor: a case study using yeast2 Affymetrix arrays. BMC Research Notes. 3(1). 81–81. 14 indexed citations
11.
Jow, Howsun, M. Bhattacharjee, Richard J. Boys, & Darren J. Wilkinson. (2010). The Integration of Genetic Maps Using Bayesian Inference. Journal of Computational Biology. 17(6). 825–840.
12.
Gillespie, Colin S., Darren J. Wilkinson, Daryl P. Shanley, et al.. (2007). BASIS: an internet resource for network modelling. PUB – Publications at Bielefeld University (Bielefeld University). 1 indexed citations
13.
Boys, Richard J., et al.. (2007). Bayesian inference for stochastic epidemic models with time-inhomogeneous removal rates. Journal of Mathematical Biology. 55(2). 223–247. 23 indexed citations
14.
Gillespie, Colin S., Darren J. Wilkinson, Daryl P. Shanley, et al.. (2006). BASIS: an internet resource for network modelling. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 3(2). 37–48. 1 indexed citations
15.
Boys, Richard J., et al.. (2005). CaliBayes: Integration of GRID based simulation and data resources for Bayesian calibration of biological models. BMC Bioinformatics. 6(S3). 6 indexed citations
16.
Proctor, Carole J., Csaba Sőti, Richard J. Boys, et al.. (2004). Modelling the actions of chaperones and their role in ageing. Mechanisms of Ageing and Development. 126(1). 119–131. 52 indexed citations
17.
Kirkwood, Thomas B. L., Richard J. Boys, Colin S. Gillespie, et al.. (2003). Towards an e-biology of ageing: integrating theory and data. Nature Reviews Molecular Cell Biology. 4(3). 243–249. 74 indexed citations
18.
Anumba, Dilly, Gary A. Ford, Richard J. Boys, & Stephen C. Robson. (1999). Stimulated nitric oxide release and nitric oxide sensitivity in forearm arterial vasculature during normotensive and preeclamptic pregnancy. American Journal of Obstetrics and Gynecology. 181(6). 1479–1485. 19 indexed citations
19.
Scott, Jan, D. Eccleston, & Richard J. Boys. (1992). Can We Predict the Persistence of Depression?. The British Journal of Psychiatry. 161(5). 633–637. 108 indexed citations
20.
Boys, Richard J.. (1989). Algorithm AS R80: A Remark on Algorithm AS 76: An Integral Useful in Calculating Noncentral t and Bivariate Normal Probabilities. Journal of the Royal Statistical Society Series C (Applied Statistics). 38(3). 580–580. 3 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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