Greg Taylor

81 papers receiving 707 citations

Peers

Greg Taylor
Comparison fields: 5 of 74
  • Management Science and Operations Research 623
  • Demography 405
  • Statistics and Probability 236
  • Finance 189
  • Economics and Econometrics 397
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Bjørn Sundt Norway
R. Kaas Netherlands
Vladimir K. Kaishev United Kingdom
Werner Hürlimann United States
Raluca Vernic Romania
Marek Kałuszka Poland
Shaun S. Wang United States
David Vyncke Belgium
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Citations per field
00.5×9.7×
Bjørn Sundt · 1×
Citations per year

Countries citing papers authored by Greg Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Greg Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Greg Taylor, 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 Greg Taylor Line = papers co-authored together Greg Taylor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198392
2 200079
3 197753
4 200847
5
Claims reserving in non-life insurance
198547
6 197930
7 197927
8 197625
9 199723
10 200722
11 197721
12 197720
13 198020
14 199518
15 201916
16 200216
17 201115
18 199214
19
Loss reserving with GLMs : a case study
200413
20 202013

About Greg Taylor

Greg Taylor is a scholar working on Management Science and Operations Research, Economics and Econometrics, Demography, Statistics and Probability and Finance, having authored 96 papers that have together received 885 indexed citations. Recurring topics across this work include Probability and Risk Models (49 papers), Insurance and Financial Risk Management (35 papers), Insurance, Mortality, Demography, Risk Management (27 papers), Statistical Distribution Estimation and Applications (15 papers), Bayesian Methods and Mixture Models (9 papers), Statistical Methods and Bayesian Inference (7 papers), Financial Risk and Volatility Modeling (7 papers) and Stochastic processes and financial applications (6 papers). The work is most often cited by research in Management Science and Operations Research (623 citations), Demography (405 citations), Statistics and Probability (236 citations), Finance (189 citations) and Economics and Econometrics (397 citations). Greg Taylor has collaborated with scholars based in Australia, Canada and Hong Kong. Frequent co-authors include Gráinne McGuire, Bernard Wong, Benjamin Avanzi, James A. Sullivan, Zhi‐Quan Luo, Patrick L. Brockett, Marc Goovaerts, H. R. Miller, Phuong Anh Vu and Peter J. Mulquiney. Their work appears in journals such as Astin Bulletin, Insurance Mathematics and Economics, Scandinavian Actuarial Journal, Annals of Actuarial Science and North American Actuarial Journal.

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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