Richard Verrall

2.5k total citations
66 papers, 1.7k citations indexed

About

Richard Verrall is a scholar working on Management Science and Operations Research, Economics and Econometrics and Demography. According to data from OpenAlex, Richard Verrall has authored 66 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Management Science and Operations Research, 30 papers in Economics and Econometrics and 28 papers in Demography. Recurrent topics in Richard Verrall's work include Probability and Risk Models (35 papers), Insurance, Mortality, Demography, Risk Management (27 papers) and Insurance and Financial Risk Management (25 papers). Richard Verrall is often cited by papers focused on Probability and Risk Models (35 papers), Insurance, Mortality, Demography, Risk Management (27 papers) and Insurance and Financial Risk Management (25 papers). Richard Verrall collaborates with scholars based in United Kingdom, United States and Switzerland. Richard Verrall's co-authors include Peter D. England, A. E. Renshaw, Jens Perch Nielsen, Steven Haberman, Mario V. Wüthrich, María Dolores Martínez Miranda, J. A. Nelder, R. G. Cowell, Marwa Khalaf-Allah and Bent Nielsen and has published in prestigious journals such as Expert Systems with Applications, The American Statistician and Applied Mathematics and Computation.

In The Last Decade

Richard Verrall

66 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Verrall United Kingdom 21 1.2k 950 785 540 255 66 1.7k
Howard R. Waters United Kingdom 20 909 0.7× 947 1.0× 546 0.7× 244 0.5× 427 1.7× 62 1.5k
Stuart A. Klugman United States 14 861 0.7× 520 0.5× 648 0.8× 820 1.5× 690 2.7× 29 2.0k
Ragnar Norberg Denmark 20 639 0.5× 696 0.7× 502 0.6× 179 0.3× 416 1.6× 60 1.1k
Ričardas Zitikis Canada 25 920 0.8× 347 0.4× 649 0.8× 972 1.8× 740 2.9× 162 2.3k
Harry H. Panjer Canada 18 1.7k 1.4× 902 0.9× 947 1.2× 966 1.8× 1.0k 3.9× 46 2.9k
Rob Kaas Netherlands 19 1.3k 1.1× 633 0.7× 704 0.9× 423 0.8× 797 3.1× 35 1.8k
R. Kaas Netherlands 16 994 0.8× 500 0.5× 586 0.7× 344 0.6× 584 2.3× 52 1.5k
Étienne Marceau Canada 19 867 0.7× 505 0.5× 313 0.4× 375 0.7× 547 2.1× 66 1.1k
Elisa Luciano Italy 20 476 0.4× 493 0.5× 1.1k 1.3× 227 0.4× 1.4k 5.7× 85 2.3k
Zinoviy Landsman Israel 21 1.1k 0.9× 359 0.4× 482 0.6× 614 1.1× 789 3.1× 103 1.6k

Countries citing papers authored by Richard Verrall

Since Specialization
Citations

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

Fields of papers citing papers by Richard Verrall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Verrall

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Verrall. A scholar is included among the top collaborators of Richard Verrall 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 Richard Verrall. Richard Verrall 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.
Dimitrova, Dimitrina S., et al.. (2022). Geometrically designed variable knot splines in generalized (non-)linear models. Applied Mathematics and Computation. 436. 127493–127493. 1 indexed citations
2.
Lindholm, Mathias & Richard Verrall. (2020). Regression based reserving models and partial information. Insurance Mathematics and Economics. 94. 109–124. 3 indexed citations
3.
Lindholm, Mathias, et al.. (2019). The collective reserving model. Insurance Mathematics and Economics. 87. 34–50. 13 indexed citations
4.
Kaishev, Vladimir K., Dimitrina S. Dimitrova, Steven Haberman, & Richard Verrall. (2015). Geometrically designed, variable knot regression splines. Computational Statistics. 31(3). 1079–1105. 11 indexed citations
5.
Verrall, Richard, et al.. (2012). Modelling Claims Run-Off with Reversible Jump Markov Chain Monte Carlo Methods. Astin Bulletin. 42(1). 35–58. 6 indexed citations
6.
Verrall, Richard & Mario V. Wüthrich. (2012). Reversible Jump Markov Chain Monte Carlo Method for Parameter Reduction in Claims Reserving. North American Actuarial Journal. 16(2). 240–259. 11 indexed citations
7.
Miranda, María Dolores Martínez, Jens Perch Nielsen, & Richard Verrall. (2012). Double Chain Ladder. Astin Bulletin. 42(1). 59–76. 44 indexed citations
8.
Miranda, María Dolores Martínez, Bent Nielsen, Jens Perch Nielsen, & Richard Verrall. (2011). Cash Flow Simulation for a Model of Outstanding Liabilities Based on Claim Amounts and Claim Numbers. Astin Bulletin. 41(1). 107–129. 28 indexed citations
9.
Verrall, Richard & Steven Haberman. (2011). Automated Graduation using Bayesian Trans-dimensional Models. Annals of Actuarial Science. 5(2). 231–251. 1 indexed citations
10.
Verrall, Richard, et al.. (2010). Work Life Expectancy: Calculating Compensation for Loss of Future Earnings. Measurement and Control. 43(5). 146–151. 1 indexed citations
11.
Verrall, Richard, et al.. (2010). Prediction of RBNS and IBNR claims using claim amounts and claim counts. City Research Online (City University London). 45 indexed citations
12.
Haberman, Steven, Marwa Khalaf-Allah, & Richard Verrall. (2010). Entropy, longevity and the cost of annuities. Insurance Mathematics and Economics. 48(2). 197–204. 12 indexed citations
13.
Haberman, Steven, et al.. (2008). Calculating Compensation for Loss of Future Earnings: Estimating and using Work Life Expectancy. Journal of the Royal Statistical Society Series A (Statistics in Society). 171(4). 763–805. 16 indexed citations
14.
Cowell, R. G., et al.. (2007). Modeling Operational Risk With Bayesian Networks. Journal of Risk & Insurance. 74(4). 795–827. 70 indexed citations
15.
Verrall, Richard. (2004). A Bayesian Generalized Linear Model for the Bornhuetter-Ferguson Method of Claims Reserving. North American Actuarial Journal. 8(3). 67–89. 62 indexed citations
16.
England, Peter D. & Richard Verrall. (1999). Analytic and bootstrap estimates of prediction errors in claims reserving. Insurance Mathematics and Economics. 25(3). 281–293. 132 indexed citations
17.
Nelder, J. A. & Richard Verrall. (1997). Credibility Theory and Generalized Linear Models. Astin Bulletin. 27(1). 71–82. 53 indexed citations
18.
Verrall, Richard. (1993). Graduation by dynamic regression methods. Journal of the Institute of Actuaries. 120(1). 153–170. 4 indexed citations
19.
Verrall, Richard. (1993). Insurance Risk Models. By H. H. Panjer & G. E. Willmot (Society of Actuaries, 1992) $35 plus $17.50 shipping & handling. Journal of the Institute of Actuaries. 120(1). 235–236. 12 indexed citations
20.
Verrall, Richard. (1989). A state space representation of the chain ladder linear model. Journal of the Institute of Actuaries. 116(3). 589–609. 46 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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