Katrien Antonio

1.6k total citations
69 papers, 1.1k citations indexed

About

Katrien Antonio is a scholar working on Demography, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Katrien Antonio has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Demography, 37 papers in Management Science and Operations Research and 25 papers in Economics and Econometrics. Recurrent topics in Katrien Antonio's work include Insurance, Mortality, Demography, Risk Management (38 papers), Probability and Risk Models (28 papers) and Insurance and Financial Risk Management (21 papers). Katrien Antonio is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (38 papers), Probability and Risk Models (28 papers) and Insurance and Financial Risk Management (21 papers). Katrien Antonio collaborates with scholars based in Belgium, Netherlands and United States. Katrien Antonio's co-authors include Roel Verbelen, Jan Beirlant, Richard Plat, Michel Denuit, Gerda Claeskens, Mathieu Pigeon, Frank van Berkum, Michel Vellekoop, Bart Baesens and Seppe vanden Broucke and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Biological Conservation.

In The Last Decade

Katrien Antonio

63 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katrien Antonio Belgium 19 467 452 358 257 212 69 1.1k
Catalina Bolancé Spain 16 302 0.6× 150 0.3× 260 0.7× 314 1.2× 92 0.4× 67 872
Ana María Pérez Marín Spain 19 178 0.4× 201 0.4× 302 0.8× 84 0.3× 96 0.5× 46 825
Arnold F. Shapiro United States 11 280 0.6× 235 0.5× 158 0.4× 152 0.6× 115 0.5× 32 665
David M. Zimmer United States 12 100 0.2× 83 0.2× 428 1.2× 176 0.7× 83 0.4× 58 951
Emilio Gómez–Déniz Spain 19 395 0.8× 118 0.3× 220 0.6× 894 3.5× 272 1.3× 140 1.4k
Richard A. Derrig United States 17 178 0.4× 86 0.2× 364 1.0× 156 0.6× 456 2.2× 40 1.1k
Anastasios Panagiotelis Australia 13 224 0.5× 43 0.1× 185 0.5× 122 0.5× 108 0.5× 25 602
Mark Yuying An United States 11 120 0.3× 60 0.1× 271 0.8× 101 0.4× 48 0.2× 26 576
Yongzeng Lai Canada 17 392 0.8× 361 0.8× 553 1.5× 45 0.2× 41 0.2× 59 1.3k
Carla Rampichini Italy 14 88 0.2× 32 0.1× 135 0.4× 298 1.2× 87 0.4× 42 767

Countries citing papers authored by Katrien Antonio

Since Specialization
Citations

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

Fields of papers citing papers by Katrien Antonio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katrien Antonio

This figure shows the co-authorship network connecting the top 25 collaborators of Katrien Antonio. A scholar is included among the top collaborators of Katrien Antonio 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 Katrien Antonio. Katrien Antonio 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.
Boute, Robert, et al.. (2025). The use of IoT sensor data to dynamically assess maintenance risk in service contracts. European Journal of Operational Research. 324(2). 454–465. 1 indexed citations
2.
Antonio, Katrien, et al.. (2024). Reducing the dimensionality and granularity in hierarchical categorical variables. Advances in Data Analysis and Classification. 19(4). 1087–1118.
3.
Antonio, Katrien, et al.. (2024). Catastrophe risk in a stochastic multi‐population mortality model. Journal of Risk & Insurance. 91(3). 599–651. 3 indexed citations
4.
Antonio, Katrien, et al.. (2023). Data-driven preventive maintenance for a heterogeneous machine portfolio. Operations Research Letters. 51(2). 163–170. 5 indexed citations
5.
Berkum, Frank van, Katrien Antonio, & Michel Vellekoop. (2020). Quantifying Longevity Gaps Using Micro-Level Lifetime Data. Journal of the Royal Statistical Society Series A (Statistics in Society). 184(2). 548–570. 4 indexed citations
6.
Verbelen, Roel, et al.. (2018). An EM algorithm to model the occurrence of events subject to a reporting delay. Lirias (KU Leuven). 3 indexed citations
7.
Verbelen, Roel, Katrien Antonio, & Gerda Claeskens. (2018). Unravelling the Predictive Power of Telematics Data in Car Insurance Pricing. Journal of the Royal Statistical Society Series C (Applied Statistics). 67(5). 1275–1304. 96 indexed citations
8.
Verbelen, Roel, et al.. (2017). Modelling censored losses using splicing: A global fit strategy with mixed Erlang and extreme value distributions. Insurance Mathematics and Economics. 77. 65–77. 42 indexed citations
9.
Verbelen, Roel, Katrien Antonio, & Gerda Claeskens. (2015). Multivariate mixtures of Erlangs for density estimation under censoring. Lifetime Data Analysis. 22(3). 429–455. 12 indexed citations
10.
Verbelen, Roel, et al.. (2015). FITTING MIXTURES OF ERLANGS TO CENSORED AND TRUNCATED DATA USING THE EM ALGORITHM. Astin Bulletin. 45(3). 729–758. 52 indexed citations
11.
Antonio, Katrien, et al.. (2015). Reserving by Conditioning on Markers of Individual Claims: A Case Study Using Historical Simulation. North American Actuarial Journal. 19(4). 273–288. 11 indexed citations
12.
Pigeon, Mathieu, Katrien Antonio, & Michel Denuit. (2014). Individual Loss Reserving Using Paid-Incurred Data. SSRN Electronic Journal. 8 indexed citations
13.
Dhaene, Jan, et al.. (2013). Premium indexing in lifelong health insurance. Far East Journal of Mathematical Sciences (FJMS). 365–384. 5 indexed citations
14.
Antonio, Katrien & Richard Plat. (2013). Micro-level stochastic loss reserving for general insurance. Scandinavian Actuarial Journal. 2014(7). 649–669. 102 indexed citations
15.
Antonio, Katrien, et al.. (2011). Multidimensional credibility: a Bayesian analysis of policyholders holding multiple contracts. Data Archiving and Networked Services (DANS). 2 indexed citations
16.
Pigeon, Mathieu, Katrien Antonio, & Michel Denuit. (2011). Individual Loss Reserving with the Multivariate Skew Normal Model. SSRN Electronic Journal. 4 indexed citations
17.
Antonio, Katrien & Jan Beirlant. (2008). Issues in Claims Reserving and Credibility: A Semiparametric Approach With Mixed Models. Journal of Risk & Insurance. 75(3). 643–676. 16 indexed citations
18.
Antonio, Katrien & Jan Beirlant. (2005). Applications of Generalized Linear Mixed Models in Actuarial Statistics. 2 indexed citations
19.
Antonio, Katrien, et al.. (2005). A general bootstrap approach to deal with zero and negative values in stochastic claims reserving. Insurance Mathematics and Economics. 37(2). 383–383. 1 indexed citations
20.
Antonio, Katrien, et al.. (2005). “A Bayesian Generalized Linear Model for the Bornhuetter-Ferguson Method of Claims Reserving,” R. J. Verrall, July 2004. North American Actuarial Journal. 9(3). 130–142. 2 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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