R. Kaas

2.1k citations
52 papers · 1.5k · h-index 16

Impact in

Papers in

R. Kaas

49 papers receiving 1.3k citations

Peers

R. Kaas
Comparison fields: 5 of 87
  • Management Science and Operations Research 1.0k
  • Finance 589
  • Demography 500
  • Statistics and Probability 344
  • Economics and Econometrics 587
Replace Rob Kaas with:
Rob Kaas Netherlands
Hans Bühlmann Switzerland
Nicole Bäuerle Germany
Steven Vanduffel Belgium
Shaun S. Wang United States
Zinoviy Landsman Israel
Harry H. Panjer Canada
Erhan Bayraktar United States
Virginia R. Young United States
Ruodu Wang Canada
R. Kaas relative to Rob Kaas Netherlands Rob Kaas's profile →
Citations per field
00.5×1.5×
Rob Kaas · 1×
Citations per year

Countries citing papers authored by R. Kaas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 11 scholars most cited alongside R. Kaas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R. Kaas Line = papers co-authored together R. Kaas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002488
2
Modern Actuarial Risk Theory: Using R
2010153
3
Ordering of actuarial risks
1994149
4
Effective actuarial methods
1990142
5 198958
6 200552
7 198051
8 199538
9 199236
10
Practical actuarial credibility models
199634
11 198630
12 198927
13 199125
14 199322
15 198121
16 199220
17 200614
18 198612
19 199211
20 199210

About R. Kaas

R. Kaas is a scholar working on Management Science and Operations Research, Economics and Econometrics, Demography, Finance and Statistics and Probability, 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), Risk and Portfolio Optimization (18 papers), Insurance, Mortality, Demography, Risk Management (15 papers), Stochastic processes and financial applications (11 papers), Statistical Distribution Estimation and Applications (7 papers), Statistical Methods and Inference (3 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Management Science and Operations Research (1.0k citations), Finance (589 citations), Demography (500 citations), Statistics and Probability (344 citations) and Economics and Econometrics (587 citations). R. Kaas has collaborated with scholars based in Netherlands, Belgium and United States. 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 Raluca Vernic. Their work appears in journals such as Insurance Mathematics and Economics, Astin Bulletin, Scandinavian Actuarial Journal, Journal of Risk & Insurance and Journal of Computational and Applied Mathematics.

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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