Daniël Linders

750 total citations
46 papers, 433 citations indexed

About

Daniël Linders is a scholar working on Finance, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Daniël Linders has authored 46 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Finance, 23 papers in Economics and Econometrics and 16 papers in Management Science and Operations Research. Recurrent topics in Daniël Linders's work include Stochastic processes and financial applications (24 papers), Financial Risk and Volatility Modeling (16 papers) and Risk and Portfolio Optimization (12 papers). Daniël Linders is often cited by papers focused on Stochastic processes and financial applications (24 papers), Financial Risk and Volatility Modeling (16 papers) and Risk and Portfolio Optimization (12 papers). Daniël Linders collaborates with scholars based in Belgium, United States and Netherlands. Daniël Linders's co-authors include Jan Dhaene, Wim Schoutens, Alexander Kukush, David Vyncke, Qihe Tang, Marc Goovaerts, Michèle Vanmaele, Ka Chun Cheung, Xinliang Chen and Griselda Deelstra and has published in prestigious journals such as Journal of Computational and Applied Mathematics, Insurance Mathematics and Economics and Quantitative Finance.

In The Last Decade

Daniël Linders

44 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniël Linders Belgium 10 267 213 192 110 59 46 433
Thorsten Rheinländer United Kingdom 10 514 1.9× 281 1.3× 186 1.0× 115 1.0× 57 1.0× 28 629
Klaus Sandmann Germany 9 571 2.1× 265 1.2× 169 0.9× 164 1.5× 33 0.6× 28 681
Valeria Bignozzi Italy 11 216 0.8× 180 0.8× 323 1.7× 81 0.7× 87 1.5× 28 419
Alexandru V. Asimit United Kingdom 12 198 0.7× 310 1.5× 419 2.2× 249 2.3× 62 1.1× 59 534
Alexandru Badescu Canada 13 321 1.2× 272 1.3× 190 1.0× 169 1.5× 11 0.2× 40 481
Morton Lane United States 8 141 0.5× 208 1.0× 64 0.3× 143 1.3× 37 0.6× 18 298
Rosella Giacometti Italy 11 285 1.1× 218 1.0× 130 0.7× 125 1.1× 23 0.4× 52 463
Alex Weissensteiner Italy 12 242 0.9× 158 0.7× 144 0.8× 70 0.6× 16 0.3× 63 380
Alessandro Juri Switzerland 5 312 1.2× 169 0.8× 120 0.6× 37 0.3× 94 1.6× 6 383
Romain Deguest France 6 268 1.0× 192 0.9× 322 1.7× 57 0.5× 52 0.9× 18 434

Countries citing papers authored by Daniël Linders

Since Specialization
Citations

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

Fields of papers citing papers by Daniël Linders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniël Linders

This figure shows the co-authorship network connecting the top 25 collaborators of Daniël Linders. A scholar is included among the top collaborators of Daniël Linders 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 Daniël Linders. Daniël Linders 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.
Linders, Daniël, et al.. (2025). Incident-specific cyber insurance. Astin Bulletin. 55(2). 395–425. 2 indexed citations
2.
Linders, Daniël. (2023). The 3-step hedge-based valuation: fair valuation in the presence of systematic risks. Astin Bulletin. 53(2). 418–442. 2 indexed citations
3.
Linders, Daniël, et al.. (2022). Analysis of Flood Hazard Alteration: Cascading Effects of Earthquake on Stormwater Collection Network. Natural Hazards Review. 23(3). 2 indexed citations
4.
Linders, Daniël, et al.. (2022). Actuarial-consistency and two-step actuarial valuations: a new paradigm to insurance valuation. Scandinavian Actuarial Journal. 2023(2). 191–217. 2 indexed citations
5.
Linders, Daniël, et al.. (2022). Value-at-Risk, Tail Value-at-Risk and upper tail transform of the sum of two counter-monotonic random variables. Scandinavian Actuarial Journal. 2023(3). 219–243. 5 indexed citations
6.
Linders, Daniël, et al.. (2021). Decomposition of Natural Catastrophe Risks: Insurability Using Parametric CAT Bonds. Risks. 9(12). 215–215. 5 indexed citations
7.
Dhaene, Jan, Alexander Kukush, & Daniël Linders. (2019). Comonotonic asset prices in arbitrage-free markets. Journal of Computational and Applied Mathematics. 364. 112310–112310. 4 indexed citations
8.
Dhaene, Jan, Alexander Kukush, & Daniël Linders. (2018). Comonotonic Asset Prices in Arbitrage-Free Markets. SSRN Electronic Journal. 1 indexed citations
9.
Dhaene, Jan, et al.. (2017). Fair valuation of insurance liabilities: Merging actuarial judgement and market-consistency. Insurance Mathematics and Economics. 76. 14–27. 39 indexed citations
10.
Linders, Daniël, et al.. (2015). The multivariate Variance Gamma model: basket option pricing and calibration. Quantitative Finance. 16(4). 555–572. 24 indexed citations
11.
Linders, Daniël & Wim Schoutens. (2014). A framework for robust measurement of implied correlation. Journal of Computational and Applied Mathematics. 271. 39–52. 17 indexed citations
12.
Chen, Xinliang, Griselda Deelstra, Jan Dhaene, Daniël Linders, & Michèle Vanmaele. (2014). On an optimization problem related to static super-replicating strategies. Journal of Computational and Applied Mathematics. 278. 213–230. 11 indexed citations
13.
Dhaene, Jan, Alexander Kukush, & Daniël Linders. (2014). The multivariate Black & Scholes market: conditions for completeness and no-arbitrage. Theory of Probability and Mathematical Statistics. 88. 85–98. 7 indexed citations
14.
Dhaene, Jan, Daniël Linders, Wim Schoutens, & David Vyncke. (2013). A Multivariate Dependence Measure for Aggregating Risks. SSRN Electronic Journal. 1 indexed citations
15.
Dhaene, Jan, Daniël Linders, Wim Schoutens, & David Vyncke. (2013). A multivariate dependence measure for aggregating risks. Journal of Computational and Applied Mathematics. 263. 78–87. 21 indexed citations
16.
Dhaene, Jan, Alexander Kukush, Daniël Linders, & Qihe Tang. (2012). Remarks on Quantiles and Distortion Risk Measures. SSRN Electronic Journal. 4 indexed citations
17.
Dhaene, Jan, Alexander Kukush, & Daniël Linders. (2012). The Multivariate Black & Scholes Market: Conditions for Completeness and No-Arbitrage. SSRN Electronic Journal. 4 indexed citations
18.
Goovaerts, Marc, et al.. (2012). On the interplay between distortion, mean value and Haezendonck–Goovaerts risk measures. Insurance Mathematics and Economics. 51(1). 10–18. 29 indexed citations
19.
Goovaerts, Marc, et al.. (2011). On the Interplay between Distortion, Mean Value and Haezendonck-Goovaerts Risk Measures. SSRN Electronic Journal. 9 indexed citations
20.
Dhaene, Jan, et al.. (2011). FIX - The Fear Index: Measuring Market Fear. SSRN Electronic Journal. 4 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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