Gordon E. Willmot
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- Probability and Risk Models 105
- Statistics and Probability top 0.1%
- Statistical Distribution Estimation and Applications 72
- Statistical Methods and Bayesian Inference 10
- Demography top 0.05%
- Insurance, Mortality, Demography, Risk Management 57
- Finance top 0.5%
- Financial Risk and Volatility Modeling 19
- Economics and Econometrics top 1%
- Insurance and Financial Risk Management 17
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- Bayesian Methods and Mixture Models 28
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- Advanced Queuing Theory Analysis 8
- Co-authors
- Harry H. PanjerX. Sheldon LinStuart A. KlugmanJames D. BroffittSteve DrekicJae‐Kyung WooDavid LandriaultJun Cai
- Journals
- Insurance Mathematics and Economics (39 papers)Scandinavian Actuarial Journal (21 papers)Journal of Applied Probability (15 papers)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Gordon E. Willmot
126 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Management Science and Operations Research 3.1k
- Statistics and Probability 2.0k
- Demography 1.8k
- Finance 1.3k
- Economics and Econometrics 982
Countries citing papers authored by Gordon E. Willmot
This map shows the geographic impact of Gordon E. Willmot'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 Gordon E. Willmot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gordon E. Willmot more than expected).
Fields of papers citing papers by Gordon E. Willmot
This network shows the impact of papers produced by Gordon E. Willmot. 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 Gordon E. Willmot. The network helps show where Gordon E. Willmot may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gordon E. Willmot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 4 | |
| 2 | Loss Models : From Data to Decisions Ed. 4 | 2013 | 3 |
| 3 | 2013 | 97 | |
| 4 | 2012 | 4 | |
| 5 | 2011 | 17 | |
| 6 | 2010 | 6 | |
| 7 | 2010 | 41 | |
| 8 | 2009 | 49 | |
| 9 | 2009 | 7 | |
| 10 | 2007 | 72 | |
| 11 | 2006 | 64 | |
| 12 | 2003 | 10 | |
| 13 | 2003 | 167 | |
| 14 | 2003 | 16 | |
| 15 | 2002 | 4 | |
| 16 | 1997 | 13 | |
| 17 | 1997 | 18 | |
| 18 | 1988 | 6 | |
| 19 | 1987 | 33 | |
| 20 | 1981 | 23 |
About Gordon E. Willmot
Gordon E. Willmot is a scholar working on Statistics and Probability, Management Science and Operations Research and Demography, having authored 132 papers that have together received 4.3k indexed citations. Recurring topics across this work include Probability and Risk Models (105 papers), Statistical Distribution Estimation and Applications (72 papers), Insurance, Mortality, Demography, Risk Management (57 papers), Bayesian Methods and Mixture Models (28 papers), Financial Risk and Volatility Modeling (19 papers), Insurance and Financial Risk Management (17 papers), Statistical Methods and Bayesian Inference (10 papers) and Advanced Queuing Theory Analysis (8 papers). The work is most often cited by research in Management Science and Operations Research (3.1k citations), Statistics and Probability (2.0k citations) and Demography (1.8k citations). Gordon E. Willmot has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Harry H. Panjer, X. Sheldon Lin, Stuart A. Klugman, James D. Broffitt, Steve Drekic, Jae‐Kyung Woo, David Landriault, Jun Cai, David Dickson and Patrick L. Brockett. Their work appears in journals such as Insurance Mathematics and Economics, Scandinavian Actuarial Journal, Journal of Applied Probability, Astin Bulletin and Advances in Applied Probability.
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.