Michel Vellekoop

795 citations
40 papers · 458 indexed · h-index 10
Topics
Stochastic processes and financial applications (23 papers)Insurance, Mortality, Demography, Risk Management (15 papers)Economic theories and models (10 papers)

In The Last Decade

Michel Vellekoop

36 papers receiving 417 citations

Peers

Michel Vellekoop
Comparison fields: 5 of 63
  • Finance 180
  • Demography 162
  • Economics and Econometrics 145
  • General Health Professions 98
  • Mathematical Physics 78
Replace Thomas S. Salisbury with:
Thomas S. Salisbury Canada
Mathias Lindholm Sweden
Donatien Hainaut Belgium
Louis M. Friedler United States
Juan Fernández Sánchez Spain
Søren Fiig Jarner Denmark
S. David Promislow Canada
Caroline Hillairet France
John A. Beekman United States
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Citations per field
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Thomas S. Salisbury · 1×
Citations per year

Countries citing papers authored by Michel Vellekoop

Since Specialization
Citations

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

Fields of papers citing papers by Michel Vellekoop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Vellekoop

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Vellekoop. A scholar is included among the top collaborators of Michel Vellekoop 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 Michel Vellekoop. Michel Vellekoop 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
#WorkIndexed citations
1 4
2 0
3 24
4 7
5 9
6 8
7
When Do Derivatives Add Value in Pension Fund Asset Allocation
2
8 2
9 36
10 4
11 7
12 2
13 33
14 28
15 39
16 2
17 3
18 1
19 1
20 92

About Michel Vellekoop

Michel Vellekoop is a scholar working on Finance, Demography and Management Science and Operations Research, having authored 40 papers that have together received 458 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (23 papers), Insurance, Mortality, Demography, Risk Management (15 papers) and Economic theories and models (10 papers). The work is most often cited by research in Finance (180 citations), Demography (162 citations) and Mathematical Physics (78 citations). Michel Vellekoop has collaborated with scholars based in Netherlands, United Kingdom and Belgium. Frequent co-authors include Katrien Antonio, J.W. Nieuwenhuis, Frank van Berkum, Laura Spierdijk, An Chen, J. M. C. Clark, Antoon Pelsser, Jan Dhaene, Pierre Devolder and Benjamin Jourdain. Their work appears in journals such as European Journal of Operational Research, Journal of Economic Theory and SIAM Review.

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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