Gordon E. Willmot

6.4k total citations · 1 hit paper
132 papers, 4.3k citations indexed

About

Gordon E. Willmot is a scholar working on Management Science and Operations Research, Statistics and Probability and Demography. According to data from OpenAlex, Gordon E. Willmot has authored 132 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Management Science and Operations Research, 80 papers in Statistics and Probability and 57 papers in Demography. Recurrent topics in Gordon E. Willmot's work include Probability and Risk Models (105 papers), Statistical Distribution Estimation and Applications (72 papers) and Insurance, Mortality, Demography, Risk Management (57 papers). Gordon E. Willmot is often cited by papers focused on Probability and Risk Models (105 papers), Statistical Distribution Estimation and Applications (72 papers) and Insurance, Mortality, Demography, Risk Management (57 papers). Gordon E. Willmot collaborates with scholars based in Canada, United States and Australia. Gordon E. Willmot's 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 and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and Journal of Econometrics.

In The Last Decade

Gordon E. Willmot

126 papers receiving 3.9k citations

Hit Papers

Loss Models: From Data to Decisions 1999 2026 2008 2017 1999 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gordon E. Willmot Canada 33 3.1k 2.0k 1.8k 1.3k 982 132 4.3k
Michel Denuit Belgium 39 3.6k 1.2× 1.5k 0.7× 3.5k 1.9× 1.7k 1.3× 2.6k 2.7× 274 6.9k
Hans U. Gerber Switzerland 46 5.0k 1.6× 1.5k 0.8× 3.8k 2.1× 3.3k 2.5× 2.3k 2.3× 141 7.1k
Harry H. Panjer Canada 18 1.7k 0.5× 966 0.5× 902 0.5× 1.0k 0.7× 947 1.0× 46 2.9k
Jozef L. Teugels Belgium 22 1.1k 0.4× 850 0.4× 532 0.3× 1.4k 1.0× 689 0.7× 54 3.1k
Jens Perch Nielsen United Kingdom 30 900 0.3× 1.5k 0.7× 826 0.5× 758 0.6× 1.0k 1.0× 152 3.3k
Mario V. Wüthrich Switzerland 31 1.8k 0.6× 692 0.3× 1.5k 0.8× 870 0.6× 1.4k 1.4× 210 3.2k
Alfred Müller Germany 26 1.5k 0.5× 960 0.5× 302 0.2× 941 0.7× 689 0.7× 69 3.2k
Hansjörg Albrecher Switzerland 31 2.3k 0.7× 685 0.3× 1.5k 0.9× 1.5k 1.1× 809 0.8× 140 3.0k
Freddy Delbaen Switzerland 36 5.3k 1.7× 985 0.5× 1.5k 0.8× 6.8k 5.1× 4.3k 4.4× 91 10.1k
Elias S. W. Shiu United States 27 2.1k 0.7× 633 0.3× 1.7k 0.9× 1.5k 1.1× 823 0.8× 82 2.9k

Countries citing papers authored by Gordon E. Willmot

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Gordon E. Willmot

This figure shows the co-authorship network connecting the top 25 collaborators of Gordon E. Willmot. A scholar is included among the top collaborators of Gordon E. Willmot 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 Gordon E. Willmot. Gordon E. Willmot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Klugman, Stuart A., Harry H. Panjer, & Gordon E. Willmot. (2019). Student Solutions Manual to Accompany Loss Models: From Data to Decisions. CERN Document Server (European Organization for Nuclear Research).
2.
Landriault, David, et al.. (2017). A note on the convexity of ruin probabilities. Insurance Mathematics and Economics. 74. 1–6.
3.
Landriault, David, Gordon E. Willmot, & Di Xu. (2016). Analysis of IBNR claims in renewal insurance models. Scandinavian Actuarial Journal. 2017(7). 628–650. 4 indexed citations
4.
Klugman, Stuart A., Harry H. Panjer, & Gordon E. Willmot. (2013). Loss Models : From Data to Decisions Ed. 4. John Wiley & Sons eBooks. 3 indexed citations
5.
Klugman, Stuart A., Harry H. Panjer, & Gordon E. Willmot. (2013). Loss Models. Wiley series in probability and statistics. 97 indexed citations
6.
Willmot, Gordon E.. (2011). On recursive evaluation of mixed poisson probabilities and related quantities. Scandinavian Actuarial Journal. 1993(2). 114–133. 17 indexed citations
7.
Willmot, Gordon E. & Xiaodong Lin. (2010). Risk modelling with the mixed Erlang distribution. Applied Stochastic Models in Business and Industry. 27(1). 2–16. 41 indexed citations
8.
Cai, Jun, Runhuan Feng, & Gordon E. Willmot. (2009). On the expectation of total discounted operating costs up to default and its applications. Advances in Applied Probability. 41(2). 495–522. 49 indexed citations
9.
Cai, Jun, Runhuan Feng, & Gordon E. Willmot. (2009). On the expectation of total discounted operating costs up to default and its applications. Advances in Applied Probability. 41(2). 495–522. 4 indexed citations
10.
Willmot, Gordon E. & Steve Drekic. (2009). Time-Dependent Analysis of Some Infinite Server Queues with Bulk Poisson Arrivals. INFOR Information Systems and Operational Research. 47(4). 297–303. 5 indexed citations
11.
Willmot, Gordon E. & Jae‐Kyung Woo. (2007). On the Class of Erlang Mixtures with Risk Theoretic Applications. North American Actuarial Journal. 11(2). 99–115. 72 indexed citations
12.
Willmot, Gordon E.. (2002). On higher-order properties of compound geometric distributions. Journal of Applied Probability. 39(2). 324–340. 4 indexed citations
13.
Willmot, Gordon E., Jun Cai, & X. Sheldon Lin. (2001). Lundberg inequalities for renewal equations. Advances in Applied Probability. 33(3). 674–689. 24 indexed citations
14.
Willmot, Gordon E. & X. Sheldon Lin. (1998). Exact and approximate properties of the distribution of surplus before and after ruin. Insurance Mathematics and Economics. 23(1). 91–110. 29 indexed citations
15.
Willmot, Gordon E.. (1997). Statistical Independence and Fractional Age Assumptions. North American Actuarial Journal. 1(1). 84–90. 13 indexed citations
16.
Willmot, Gordon E. & X. Sheldon Lin. (1997). Simplified bounds on the tails of compound distributions. Journal of Applied Probability. 34(1). 127–133. 18 indexed citations
17.
Willmot, Gordon E.. (1997). On the relationship between bounds on the tails of compound distributions. Insurance Mathematics and Economics. 19(2). 95–103. 11 indexed citations
18.
Willmot, Gordon E. & X. Sheldon Lin. (1997). Simplified bounds on the tails of compound distributions. Journal of Applied Probability. 34(1). 127–133. 15 indexed citations
19.
Willmot, Gordon E.. (1990). A QUEUEING THEORETIC APPROACH TO THE ANALYSIS OF THE CLAIMS PAYMENT PROCESS. 12 indexed citations
20.
Panjer, Harry H. & Gordon E. Willmot. (1981). Finite Sum Evaluation of the Negative Binomial-Exponential Model. Astin Bulletin. 12(2). 133–137. 23 indexed citations

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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