Peter D. England

1.0k total citations
13 papers, 649 citations indexed

About

Peter D. England is a scholar working on Demography, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Peter D. England has authored 13 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Demography, 7 papers in Management Science and Operations Research and 6 papers in Economics and Econometrics. Recurrent topics in Peter D. England's work include Insurance, Mortality, Demography, Risk Management (8 papers), Probability and Risk Models (7 papers) and Insurance and Financial Risk Management (6 papers). Peter D. England is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (8 papers), Probability and Risk Models (7 papers) and Insurance and Financial Risk Management (6 papers). Peter D. England collaborates with scholars based in United Kingdom, Switzerland and Italy. Peter D. England's co-authors include Richard Verrall, Mario V. Wüthrich, Alessandro Cozzi Lepri, Caroline Sabin, Andrew Phillips, Patrizio Pezzotti, Simon G. Thompson, Andrew Adams, Philip Booth and Gordon J. Alexander and has published in prestigious journals such as The Journal of Finance, The Journal of Infectious Diseases and Statistics in Medicine.

In The Last Decade

Peter D. England

13 papers receiving 525 citations

Peers

Peter D. England
Henrik Ramlau-Hansen Denmark
Michel Denuit Belgium
Alois Gisler Switzerland
Runhuan Feng United States
Ragnar Norberg Denmark
Bjarne Højgaard Denmark
Esbjörn Ohlsson Sweden
Teivo Pentikäinen Finland
Jacques F. Carriére Canada
Louis M. Friedler United States
Henrik Ramlau-Hansen Denmark
Peter D. England
Citations per year, relative to Peter D. England Peter D. England (= 1×) peers Henrik Ramlau-Hansen

Countries citing papers authored by Peter D. England

Since Specialization
Citations

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

Fields of papers citing papers by Peter D. England

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter D. England. 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 Peter D. England. The network helps show where Peter D. England may publish in the future.

Co-authorship network of co-authors of Peter D. England

This figure shows the co-authorship network connecting the top 25 collaborators of Peter D. England. A scholar is included among the top collaborators of Peter D. England 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 Peter D. England. Peter D. England is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
England, Peter D., Richard Verrall, & Mario V. Wüthrich. (2019). On the lifetime and one-year views of reserve risk, with application to IFRS 17 and Solvency II risk margins. Insurance Mathematics and Economics. 85. 74–88. 15 indexed citations
2.
England, Peter D., Richard Verrall, & Mario V. Wüthrich. (2018). On the Lifetime and One-Year Views of Reserve Risk, with Application to IFRS 17 and Solvency II Risk Margins. SSRN Electronic Journal. 17 indexed citations
3.
England, Peter D., Richard Verrall, & Mario V. Wüthrich. (2012). Bayesian over-dispersed Poisson model and the Bornhuetter & Ferguson claims reserving method. Annals of Actuarial Science. 6(2). 258–283. 19 indexed citations
4.
England, Peter D. & Richard Verrall. (2006). Predictive Distributions of Outstanding Liabilities in General Insurance. Annals of Actuarial Science. 1(2). 221–270. 70 indexed citations
5.
Verrall, Richard & Peter D. England. (2005). Incorporating expert opinion into a stochastic model for the chain-ladder technique. Insurance Mathematics and Economics. 37(2). 355–370. 11 indexed citations
6.
England, Peter D.. (2002). Addendum to “Analytic and bootstrap estimates of prediction errors in claims reserving”. Insurance Mathematics and Economics. 31(3). 461–466. 43 indexed citations
7.
England, Peter D. & Richard Verrall. (2002). Stochastic Claims Reserving in General Insurance. British Actuarial Journal. 8(3). 443–518. 279 indexed citations
8.
Verrall, Richard & Peter D. England. (2000). Comments on: “A comparison of stochastic models that reproduce chain ladder reserve estimates”, by Mack and Venter. Insurance Mathematics and Economics. 26(1). 109–111. 15 indexed citations
9.
England, Peter D. & Richard Verrall. (1999). Analytic and bootstrap estimates of prediction errors in claims reserving. Insurance Mathematics and Economics. 25(3). 281–293. 132 indexed citations
10.
Thompson, Simon G., et al.. (1998). The analysis of complex patterns of longitudinal binary response: an example of transient dysphagia following radiotherapy. Statistics in Medicine. 17(22). 2551–2561. 8 indexed citations
11.
Lepri, Alessandro Cozzi, et al.. (1997). Is There a General Tendency for CD4 Lymphocyte Decline to Speed Up during Human Immunodeficiency Virus Infection? Evidence from the Italian Seroconversion Study. The Journal of Infectious Diseases. 175(4). 775–780. 21 indexed citations
12.
Alexander, Gordon J., et al.. (1994). Investment Mathematics and Statistics.. The Journal of Finance. 49(1). 359–359. 16 indexed citations
13.
England, Peter D. & Steven Haberman. (1993). A New Approach to Modeling Excess Mortality. Insecta mundi. 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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