David Epstein

45 papers receiving 2.2k citations

David Epstein's Hit Papers

A Quantitative Comparison of Stochastic Mortality Models Using Data From England and Wales and the United States 2009 · 473 citations
4730+13+26Years since publication200400600

Peers

David Epstein
Comparison fields: 5 of 160
  • Demography 1.1k
  • Health 362
  • General Health Professions 1.0k
  • Management Science and Operations Research 385
  • Statistics and Probability 172
Replace Gilbert Ritschard with:
Gilbert Ritschard Switzerland
Matthias Studer Switzerland
Lawrence Wu United States
Allan L. McCutcheon United States
Jan Goebel Germany
Felix Thoemmes United States
Alexis Gabadinho Switzerland
Andrew Smith United Kingdom
Shawn Bauldry United States
Gerhard Arminger Germany
David Epstein relative to Gilbert Ritschard Switzerland Gilbert Ritschard's profile →
Citations per field
00.5×4.4×
Gilbert Ritschard · 1×
Citations per year

Countries citing papers authored by David Epstein

Since Specialization
Citations

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

Fields of papers citing papers by David Epstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Epstein, 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 David Epstein Line = papers co-authored together David Epstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Latent Growth Curves within Developmental Structural Equation Models
Hit paper breakdown →
1987682
2
A Quantitative Comparison of Stochastic Mortality Models Using Data From England and Wales and the United States
Hit paper breakdown →
2009473
3 2011219
4 1975112
5 2010103
6 200798
7 201096
8 200868
9 200258
10 198154
11 197149
12 200845
13 198843
14 198032
15 199824
16 198122
17 200320
18 198018
19 200918
20 198216

About David Epstein

David Epstein is a scholar working on Molecular Biology, General Health Professions, Demography, Pulmonary and Respiratory Medicine and Surgery, having authored 52 papers that have together received 2.4k indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (8 papers), Global Health Care Issues (8 papers), Health disparities and outcomes (5 papers), Stochastic processes and financial applications (3 papers), interferon and immune responses (3 papers), Economic theories and models (3 papers), RNA regulation and disease (3 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Demography (1.1k citations), Health (362 citations), General Health Professions (1.0k citations), Management Science and Operations Research (385 citations) and Statistics and Probability (172 citations). David Epstein has collaborated with scholars based in United States, United Kingdom and Malaysia. Frequent co-authors include John J. McArdle, Guy Coughlan, Kevin Dowd, Andrew J. G. Cairns, David Blake, Marwa Khalaf-Allah, Avram Hershko, James R. DeBord, Robert M. Friedman and Helmut Jacobsen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Insurance Mathematics and Economics, North American Actuarial Journal, Nucleic Acids Research and The Classical World.

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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