Mario V. Wüthrich

5.2k total citations
210 papers, 3.2k citations indexed

About

Mario V. Wüthrich is a scholar working on Management Science and Operations Research, Economics and Econometrics and Demography. According to data from OpenAlex, Mario V. Wüthrich has authored 210 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Management Science and Operations Research, 82 papers in Economics and Econometrics and 77 papers in Demography. Recurrent topics in Mario V. Wüthrich's work include Probability and Risk Models (84 papers), Insurance, Mortality, Demography, Risk Management (77 papers) and Insurance and Financial Risk Management (69 papers). Mario V. Wüthrich is often cited by papers focused on Probability and Risk Models (84 papers), Insurance, Mortality, Demography, Risk Management (77 papers) and Insurance and Financial Risk Management (69 papers). Mario V. Wüthrich collaborates with scholars based in Switzerland, Germany and United Kingdom. Mario V. Wüthrich's co-authors include Michael Merz, Ronald Richman, Pavel V. Shevchenko, Alessandro Juri, Paul Embrechts, Hans Bühlmann, Richard Verrall, Matthias Löwe, Andrea Gabrielli and Dominik D. Lambrigger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Machine Learning and The American Statistician.

In The Last Decade

Mario V. Wüthrich

197 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario V. Wüthrich Switzerland 31 1.8k 1.5k 1.4k 870 692 210 3.2k
Jan Dhaene Belgium 32 3.0k 1.7× 1.7k 1.2× 2.0k 1.4× 2.3k 2.7× 882 1.3× 223 5.1k
Jens Perch Nielsen United Kingdom 30 900 0.5× 826 0.6× 1.0k 0.7× 758 0.9× 1.5k 2.1× 152 3.3k
Harry H. Panjer Canada 18 1.7k 0.9× 902 0.6× 947 0.7× 1.0k 1.2× 966 1.4× 46 2.9k
Gordon E. Willmot Canada 33 3.1k 1.8× 1.8k 1.2× 982 0.7× 1.3k 1.5× 2.0k 2.9× 132 4.3k
Emiliano A. Valdez United States 24 1.1k 0.6× 837 0.6× 974 0.7× 1.1k 1.3× 737 1.1× 88 2.7k
Hansjörg Albrecher Switzerland 31 2.3k 1.3× 1.5k 1.0× 809 0.6× 1.5k 1.7× 685 1.0× 140 3.0k
Ričardas Zitikis Canada 25 920 0.5× 347 0.2× 649 0.5× 740 0.9× 972 1.4× 162 2.3k
Stuart A. Klugman United States 14 861 0.5× 520 0.4× 648 0.5× 690 0.8× 820 1.2× 29 2.0k
Tak Kuen Siu Australia 31 968 0.5× 1.4k 0.9× 1.4k 1.0× 2.6k 3.0× 134 0.2× 228 3.6k
Richard Verrall United Kingdom 21 1.2k 0.7× 950 0.6× 785 0.6× 255 0.3× 540 0.8× 66 1.7k

Countries citing papers authored by Mario V. Wüthrich

Since Specialization
Citations

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

Fields of papers citing papers by Mario V. Wüthrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario V. Wüthrich. 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 Mario V. Wüthrich. The network helps show where Mario V. Wüthrich may publish in the future.

Co-authorship network of co-authors of Mario V. Wüthrich

This figure shows the co-authorship network connecting the top 25 collaborators of Mario V. Wüthrich. A scholar is included among the top collaborators of Mario V. Wüthrich 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 Mario V. Wüthrich. Mario V. Wüthrich 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.
Ahn, Jae Youn, et al.. (2025). An observation‐driven state‐space model for claims size modelling. Canadian Journal of Statistics. 54(1).
2.
Ahn, Jae Youn, et al.. (2025). An observation-driven state-space count model for experience rating. Insurance Mathematics and Economics. 125. 103149–103149. 1 indexed citations
3.
Wüthrich, Mario V.. (2025). Auto-calibration tests for discrete finite regression functions. European Actuarial Journal. 15(1). 335–341. 1 indexed citations
4.
Richman, Ronald & Mario V. Wüthrich. (2024). High-cardinality categorical covariates in network regressions. Japanese Journal of Statistics and Data Science. 7(2). 921–965. 2 indexed citations
5.
Lindholm, Mathias, Ronald Richman, Andreas Tsanakas, & Mario V. Wüthrich. (2024). What is fair? Proxy discrimination vs. demographic disparities in insurance pricing. Scandinavian Actuarial Journal. 2024(9). 935–970. 3 indexed citations
6.
Wüthrich, Mario V.. (2023). Model selection with Gini indices under auto-calibration. European Actuarial Journal. 13(1). 469–477. 12 indexed citations
7.
Lindholm, Mathias, Ronald Richman, Andreas Tsanakas, & Mario V. Wüthrich. (2023). What is Fair? Proxy Discrimination vs. Demographic Disparities in Insurance Pricing. SSRN Electronic Journal. 5 indexed citations
8.
Wüthrich, Mario V.. (2021). The balance property in neural network modelling. SHILAP Revista de lepidopterología. 6(1). 1–9. 7 indexed citations
9.
Delong, Łukasz, Mathias Lindholm, & Mario V. Wüthrich. (2021). Making Tweedie’s compound Poisson model more accessible. European Actuarial Journal. 11(1). 185–226. 14 indexed citations
10.
Wüthrich, Mario V., et al.. (2019). Nesting Classical Actuarial Models into Neural Networks. SSRN Electronic Journal. 35 indexed citations
11.
Wüthrich, Mario V.. (2019). Bias regularization in neural network models for general insurance pricing. European Actuarial Journal. 10(1). 179–202. 34 indexed citations
12.
Hofert, Marius & Mario V. Wüthrich. (2012). Statistical Review of Nuclear Power Accidents. 7(1). 9 indexed citations
13.
Perotti, E.C., et al.. (2011). A prudential regulatory issue at the heart of Solvency II. UvA-DARE (University of Amsterdam). 2011(2). 5 indexed citations
14.
Salzmann, Robert & Mario V. Wüthrich. (2010). Cost-of-Capital Margin for a General Insurance Liability Runoff. Astin Bulletin. 40(2). 415–451. 19 indexed citations
15.
Gisler, Alois & Mario V. Wüthrich. (2008). Credibility for the Chain Ladder Reserving Method. Astin Bulletin. 38(2). 565–600. 17 indexed citations
16.
Wüthrich, Mario V. & Michael Merz. (2008). Stochastic claims reserving methods in insurance. John Wiley & Sons eBooks. 201 indexed citations
17.
Shevchenko, Pavel V., et al.. (2007). Dynamic Operational Risk: modelling dependence and combining different sources of information. UCL Discovery (University College London).
18.
Bühlmann, Hans, et al.. (2006). The Mean Square Error of Prediction in the Chain Ladder Reserving Method – Final Remark. Astin Bulletin. 36(2). 553–553. 2 indexed citations
19.
Löwe, Matthias, et al.. (2005). Analysis of the Expected Shortfall of Aggregate Dependent Risks. Astin Bulletin. 35(1). 25–43. 18 indexed citations
20.
Wüthrich, Mario V.. (2003). Asymptotic Value-at-Risk Estimates for Sums of Dependent Random Variables. Astin Bulletin. 33(1). 75–92. 15 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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