Pete Philipson

1.1k total citations
26 papers, 684 citations indexed

About

Pete Philipson is a scholar working on Statistics and Probability, Epidemiology and Economics and Econometrics. According to data from OpenAlex, Pete Philipson has authored 26 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 6 papers in Epidemiology and 6 papers in Economics and Econometrics. Recurrent topics in Pete Philipson's work include Statistical Methods and Bayesian Inference (10 papers), Statistical Methods and Inference (7 papers) and Advanced Causal Inference Techniques (5 papers). Pete Philipson is often cited by papers focused on Statistical Methods and Bayesian Inference (10 papers), Statistical Methods and Inference (7 papers) and Advanced Causal Inference Techniques (5 papers). Pete Philipson collaborates with scholars based in United Kingdom, Australia and Spain. Pete Philipson's co-authors include Ruwanthi Kolamunnage‐Dona, Graeme L. Hickey, Andrea Jorgensen, Kevin J. Wilson, Gobinda Chowdhury, Anthony G Marson, Harry Hemingway, Ruoling Chen, Adam Timmis and Paula Williamson and has published in prestigious journals such as PLoS ONE, PLoS Medicine and Statistics in Medicine.

In The Last Decade

Pete Philipson

22 papers receiving 667 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pete Philipson United Kingdom 13 216 98 97 74 73 26 684
Lurdes Y. T. Inoue United States 22 309 1.4× 370 3.8× 55 0.6× 129 1.7× 85 1.2× 48 1.4k
Angelika Geroldinger Austria 15 72 0.3× 77 0.8× 132 1.4× 46 0.6× 29 0.4× 33 848
Kamran Abbas Pakistan 12 96 0.4× 24 0.2× 27 0.3× 126 1.7× 45 0.6× 41 642
Ariel Alonso Belgium 18 676 3.1× 23 0.2× 55 0.6× 313 4.2× 68 0.9× 85 1.1k
Li Su United Kingdom 17 153 0.7× 30 0.3× 57 0.6× 68 0.9× 49 0.7× 65 868
Song Yang United States 15 514 2.4× 28 0.3× 71 0.7× 59 0.8× 99 1.4× 64 1.5k
Nadeem Shafique Butt Saudi Arabia 21 848 3.9× 22 0.2× 81 0.8× 41 0.6× 77 1.1× 120 1.6k
Babak Choodari‐Oskooei United Kingdom 13 360 1.7× 40 0.4× 66 0.7× 216 2.9× 24 0.3× 32 849
Jing Huang United States 16 52 0.2× 84 0.9× 153 1.6× 75 1.0× 42 0.6× 87 818
Gert Nielsen Denmark 8 329 1.5× 78 0.8× 24 0.2× 98 1.3× 45 0.6× 11 592

Countries citing papers authored by Pete Philipson

Since Specialization
Citations

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

Fields of papers citing papers by Pete Philipson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pete Philipson

This figure shows the co-authorship network connecting the top 25 collaborators of Pete Philipson. A scholar is included among the top collaborators of Pete Philipson 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 Pete Philipson. Pete Philipson 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.
2.
Murray, J. C. & Pete Philipson. (2023). Fast estimation for generalised multivariate joint models using an approximate EM algorithm. Computational Statistics & Data Analysis. 187. 107819–107819.
3.
Philipson, Pete & Alan Huang. (2023). A fast look-up method for Bayesian mean-parameterised Conway–Maxwell–Poisson regression models. Statistics and Computing. 33(4). 81–81. 2 indexed citations
4.
Philipson, Pete. (2023). A truncated mean-parameterized Conway-Maxwell-Poisson model for the analysis of Test match bowlers. Statistical Modelling. 24(5). 480–495. 1 indexed citations
5.
Wilson, Kevin J., et al.. (2022). A condition-based maintenance policy for continuously monitored multi-component systems with economic and stochastic dependence. Reliability Engineering & System Safety. 222. 108321–108321. 56 indexed citations
6.
Moore, Nathan, Rebecca Williams, Matilde Mori, et al.. (2022). Mid-regional proadrenomedullin (MR-proADM), C-reactive protein (CRP) and other biomarkers in the early identification of disease progression in patients with COVID-19 in the acute NHS setting. Journal of Clinical Pathology. 76(6). 400–406. 12 indexed citations
7.
Murray, J. C. & Pete Philipson. (2022). A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data. Computational Statistics & Data Analysis. 170. 107438–107438. 10 indexed citations
8.
Philipson, Pete, Graeme L. Hickey, Michael J. Crowther, & Ruwanthi Kolamunnage‐Dona. (2020). Faster Monte Carlo estimation of joint models for time-to-event and multivariate longitudinal data. Computational Statistics & Data Analysis. 151. 107010–107010. 16 indexed citations
9.
Philipson, Pete, et al.. (2019). Planning for optimal performance – What happens before the taper?. International Journal of Sports Science & Coaching. 14(6). 749–764.
10.
Hickey, Graeme L., Pete Philipson, Andrea Jorgensen, & Ruwanthi Kolamunnage‐Dona. (2018). Joint Models of Longitudinal and Time-to-Event Data with More Than One Event Time Outcome: A Review. The International Journal of Biostatistics. 14(1). 31 indexed citations
11.
Hickey, Graeme L., Pete Philipson, Andrea Jorgensen, & Ruwanthi Kolamunnage‐Dona. (2018). joineRML: a joint model and software package for time-to-event and multivariate longitudinal outcomes. BMC Medical Research Methodology. 18(1). 50–50. 48 indexed citations
12.
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
13.
Dalkin, Sonia, Natalie Forster, Philip Hodgson, et al.. (2018). Exposing the impact of intensive advice services on health: A realist evaluation. Health & Social Care in the Community. 27(3). 767–776. 11 indexed citations
14.
Hickey, Graeme L., Pete Philipson, Andrea Jorgensen, & Ruwanthi Kolamunnage‐Dona. (2018). A Comparison of Joint Models for Longitudinal and Competing Risks Data, with Application to an Epilepsy Drug Randomized Controlled Trial. Journal of the Royal Statistical Society Series A (Statistics in Society). 181(4). 1105–1123. 21 indexed citations
15.
Chowdhury, Gobinda, et al.. (2016). Measuring the Impact of Research: Lessons from the UK’s Research Excellence Framework 2014. PLoS ONE. 11(6). e0156978–e0156978. 54 indexed citations
16.
Hickey, Graeme L., Pete Philipson, Andrea Jorgensen, & Ruwanthi Kolamunnage‐Dona. (2016). Joint modelling of time-to-event and multivariate longitudinal outcomes: recent developments and issues. BMC Medical Research Methodology. 16(1). 117–117. 111 indexed citations
17.
Sutaria, Shailen, Pete Philipson, Natalie Fitzpatrick, et al.. (2012). Translational phases of evidence in a prognostic biomarker: a systematic review and meta-analysis of natriuretic peptides and the prognosis of stable coronary disease. Heart. 98(8). 615–622. 3 indexed citations
18.
Hemingway, Harry, Pete Philipson, Ruoling Chen, et al.. (2010). Evaluating the Quality of Research into a Single Prognostic Biomarker: A Systematic Review and Meta-analysis of 83 Studies of C-Reactive Protein in Stable Coronary Artery Disease. PLoS Medicine. 7(6). e1000286–e1000286. 122 indexed citations
19.
Williamson, Paula, Ruwanthi Kolamunnage‐Dona, Pete Philipson, & Anthony G Marson. (2008). Joint modelling of longitudinal and competing risks data. Statistics in Medicine. 27(30). 6426–6438. 66 indexed citations
20.
Philipson, Pete, Weang-Kee Ho, & Robin Henderson. (2008). Comparative review of methods for handling drop‐out in longitudinal studies. Statistics in Medicine. 27(30). 6276–6298. 21 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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