Peter D. England
- Management Science and Operations Research top 1%
- Demography top 1%
- Economics and Econometrics top 5%
- Statistics and Probability top 2%
- Finance top 5%
- Co-authors
- Richard VerrallMario V. WüthrichAlessandro Cozzi LepriCaroline SabinAndrew PhillipsPatrizio PezzottiSimon G. ThompsonAndrew Adams
- Topics
- Insurance, Mortality, Demography, Risk Management (8 papers)Probability and Risk Models (7 papers)Insurance and Financial Risk Management (6 papers)
- Partner nations
- United KingdomSwitzerlandItaly
In The Last Decade
Peter D. England
13 papers receiving 525 citations
Peers
Comparison fields: 5 of 62
- Management Science and Operations Research 501
- Demography 354
- Economics and Econometrics 315
- Statistics and Probability 202
- Finance 105
Countries citing papers authored by Peter D. England
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 17 | |
| 3 | 19 | |
| 4 | 70 | |
| 5 | 11 | |
| 6 | 43 | |
| 7 | 279 | |
| 8 | 15 | |
| 9 | 132 | |
| 10 | 8 | |
| 11 | 21 | |
| 12 | 16 | |
| 13 | A New Approach to Modeling Excess Mortality | 3 |
About Peter D. England
Peter D. England is a scholar working on Demography, Management Science and Operations Research and Statistics and Probability, having authored 13 papers that have together received 649 indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (8 papers), Probability and Risk Models (7 papers) and Insurance and Financial Risk Management (6 papers). The work is most often cited by research in Management Science and Operations Research (501 citations), Demography (354 citations) and Statistics and Probability (202 citations). Peter D. England has collaborated with scholars based in United Kingdom, Switzerland and Italy. Frequent 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. Their work appears in journals such as The Journal of Finance, The Journal of Infectious Diseases and Statistics in Medicine.
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.