Mario V. Wüthrich
- Management Science and Operations Research top 0.2%
- Demography top 0.1%
- Economics and Econometrics top 0.5%
- Finance top 1%
- Statistics and Probability top 0.5%
- Co-authors
- Michael MerzRonald RichmanPavel V. ShevchenkoAlessandro JuriPaul EmbrechtsHans BühlmannRichard VerrallAndrea Gabrielli
- Topics
- Probability and Risk Models (84 papers)Insurance, Mortality, Demography, Risk Management (77 papers)Insurance and Financial Risk Management (69 papers)
- Journals
- SHILAP Revista de lepidopterologíaMachine LearningThe American Statistician
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Mario V. Wüthrich
197 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 115
- Management Science and Operations Research 1.8k
- Demography 1.5k
- Economics and Econometrics 1.4k
- Finance 870
- Statistics and Probability 692
Countries citing papers authored by Mario V. Wüthrich
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 12 | |
| 7 | 14 | |
| 8 | 34 | |
| 9 | Data Analytics for Non-Life Insurance Pricing | 11 |
| 10 | Claims Run-Off Uncertainty: The Full Picture | 3 |
| 11 | Poisson Heterogeneous Random-Connection Model | 2 |
| 12 | 11 | |
| 13 | Statistical modelling and forecasting of outstanding liabilities in non-life insurance | 5 |
| 14 | 19 | |
| 15 | 17 | |
| 16 | Stochastic claims reserving methods in insurance | 201 |
| 17 | Dynamic Operational Risk: modelling dependence and combining different sources of information | 0 |
| 18 | 2 | |
| 19 | 18 | |
| 20 | 15 |
About Mario V. Wüthrich
Mario V. Wüthrich is a scholar working on Management Science and Operations Research, Demography and Statistics and Probability, having authored 210 papers that have together received 3.2k indexed citations. Recurring topics across this work include Probability and Risk Models (84 papers), Insurance, Mortality, Demography, Risk Management (77 papers) and Insurance and Financial Risk Management (69 papers). The work is most often cited by research in Management Science and Operations Research (1.8k citations), Demography (1.5k citations) and Finance (870 citations). Mario V. Wüthrich has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Michael Merz, Ronald Richman, Pavel V. Shevchenko, Alessandro Juri, Paul Embrechts, Hans Bühlmann, Richard Verrall, Andrea Gabrielli, Matthias Löwe and Dominik D. Lambrigger. Their work appears in journals such as SHILAP Revista de lepidopterología, Machine Learning and The American Statistician.
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.