Guy Coughlan

21 papers receiving 1.9k citations

Guy Coughlan's Hit Papers

A Quantitative Comparison of Stochastic Mortality Models Using Data From England and Wales and the United States 2009 · 493 citations
4930+5+11Years since publication100200300400

Peers

Guy Coughlan
Comparison fields: 5 of 73
  • Demography 1.7k
  • Health 525
  • General Health Professions 1.6k
  • Management Science and Operations Research 380
  • Economics and Econometrics 459
Replace Frederic Malter with:
Frederic Malter Germany
Julie M. Korbmacher Germany
Zoë Oldfield United Kingdom
Stephanie Stuck Germany
Ryan D. Edwards United States
Stefano Mazzuco Italy
Heather D. Hill United States
Frank Heiland United States
Melinda Sandler Morrill United States
Paul Nystedt Sweden
Guy Coughlan relative to Frederic Malter Germany Frederic Malter's profile →
Citations per field
00.5×10×15×22.4×
Frederic Malter · 1×
Citations per year

Countries citing papers authored by Guy Coughlan

Since Specialization
Citations

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

Fields of papers citing papers by Guy Coughlan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Guy Coughlan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guy Coughlan Line = papers co-authored together Guy Coughlan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Quantitative Comparison of Stochastic Mortality Models Using Data From England and Wales and the United States
Hit paper breakdown →
2009493
2 2005268
3 2011227
4 2011195
5 2011133
6 2010106
7 2011105
8 2010100
9 2007100
10 201381
11 200869
12 201366
13 200846
14 200918
15 200414
16 20088
17 20136
18 20113
19 20222
20 20122

About Guy Coughlan

Guy Coughlan is a scholar working on General Health Professions, Demography, Health, Accounting and Management Science and Operations Research, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include Global Health Care Issues (20 papers), Insurance, Mortality, Demography, Risk Management (20 papers), Health disparities and outcomes (8 papers), Financial Literacy, Pension, Retirement Analysis (7 papers), demographic modeling and climate adaptation (3 papers), Insurance and Financial Risk Management (2 papers), Dark Matter and Cosmic Phenomena (1 paper) and Neutrino Physics Research (1 paper). The work is most often cited by research in Demography (1.7k citations), Health (525 citations), General Health Professions (1.6k citations), Management Science and Operations Research (380 citations) and Economics and Econometrics (459 citations). Guy Coughlan has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent co-authors include David Blake, Andrew J. G. Cairns, Kevin Dowd, David Epstein, Marwa Khalaf-Allah, Sheldon Hanton, David Fletcher, Richard D. MacMinn, Sumit Kumar and David Epstein. Their work appears in journals such as North American Actuarial Journal, Insurance Mathematics and Economics, Quantitative Finance, Astin Bulletin and Journal of Risk & Insurance.

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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