R. Kaas
- Management Science and Operations Research top 0.5%
- Economics and Econometrics top 2%
- Finance top 1%
- Demography top 0.5%
- Statistics and Probability top 1%
- Co-authors
- Marc GoovaertsJan DhaeneMichel DenuitDavid VynckeOle HesselagerSteven VanduffelAnn De SchepperF. De Vylder
- Topics
- Probability and Risk Models (22 papers)Insurance and Financial Risk Management (19 papers)Risk and Portfolio Optimization (18 papers)
- Journals
- European Journal of Operational ResearchJournal of Computational and Applied MathematicsJournal of Risk & Insurance
- Partner nations
- NetherlandsBelgiumDenmark
In The Last Decade
R. Kaas
50 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 85
- Management Science and Operations Research 994
- Economics and Econometrics 586
- Finance 584
- Demography 500
- Statistics and Probability 344
Countries citing papers authored by R. Kaas
This map shows the geographic impact of R. Kaas'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 R. Kaas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Kaas more than expected).
Fields of papers citing papers by R. Kaas
This network shows the impact of papers produced by R. Kaas. 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 R. Kaas. The network helps show where R. Kaas may publish in the future.
Co-authorship network of co-authors of R. Kaas
This figure shows the co-authorship network connecting the top 25 collaborators of R. Kaas. A scholar is included among the top collaborators of R. Kaas 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 R. Kaas. R. Kaas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Modern actuarial risk theory (Chinese translation) | 2 |
| 2 | Comonotonic approximations for optimal portfolio selection problems: the case of terminal wealth | 2 |
| 3 | Risk measures and optimal portfolio selection | 2 |
| 4 | Risk Measures, Measures for Insolvency Risk and Economical Capital Allocation | 2 |
| 5 | 38 | |
| 6 | Ordering of actuarial risks | 148 |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 10 | |
| 11 | 4 | |
| 12 | 11 | |
| 13 | 10 | |
| 14 | Effective actuarial methods | 141 |
| 15 | 1 | |
| 16 | 8 | |
| 17 | A new method for deriving bounds for integrals with respect to measures allowed to vary under conical and integral constraints | 1 |
| 18 | 2 | |
| 19 | 8 | |
| 20 | 21 |
About R. Kaas
R. Kaas is a scholar working on Management Science and Operations Research, Statistics and Probability and Demography, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Probability and Risk Models (22 papers), Insurance and Financial Risk Management (19 papers) and Risk and Portfolio Optimization (18 papers). The work is most often cited by research in Management Science and Operations Research (994 citations), Finance (584 citations) and Demography (500 citations). R. Kaas has collaborated with scholars based in Netherlands, Belgium and Denmark. Frequent co-authors include Marc Goovaerts, Jan Dhaene, Michel Denuit, David Vyncke, Ole Hesselager, Steven Vanduffel, Ann De Schepper, F. De Vylder, Hans U. Gerber and Roger J. A. Laeven. Their work appears in journals such as European Journal of Operational Research, Journal of Computational and Applied Mathematics and Journal of Risk & Insurance.
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.