Fabrizio Durante

5.3k total citations · 1 hit paper
145 papers, 3.5k citations indexed

About

Fabrizio Durante is a scholar working on Finance, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Fabrizio Durante has authored 145 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Finance, 47 papers in Statistics and Probability and 40 papers in Management Science and Operations Research. Recurrent topics in Fabrizio Durante's work include Financial Risk and Volatility Modeling (84 papers), Stochastic processes and financial applications (32 papers) and Statistical Distribution Estimation and Applications (26 papers). Fabrizio Durante is often cited by papers focused on Financial Risk and Volatility Modeling (84 papers), Stochastic processes and financial applications (32 papers) and Statistical Distribution Estimation and Applications (26 papers). Fabrizio Durante collaborates with scholars based in Italy, Austria and Spain. Fabrizio Durante's co-authors include Carlo Sempi, Gianfausto Salvadori, Carlo De Michele, Juan Fernández Sánchez, Piotr Jaworski, Radko Mesiar, Peter Sarkoci, Mauro Bernardi, José Juan Quesada-Molina and Manuel Úbeda-Flores and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and European Journal of Operational Research.

In The Last Decade

Fabrizio Durante

139 papers receiving 3.4k citations

Hit Papers

Principles of Copula Theory 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabrizio Durante Italy 32 1.6k 1.1k 974 846 446 145 3.5k
Trevor J. Ringrose United Kingdom 12 1.4k 0.9× 818 0.8× 411 0.4× 597 0.7× 799 1.8× 30 3.0k
Ana Ferreira Portugal 28 1.5k 0.9× 754 0.7× 768 0.8× 348 0.4× 540 1.2× 56 4.4k
Bruno Rémillard Canada 21 1.5k 0.9× 776 0.7× 729 0.7× 281 0.3× 781 1.8× 96 2.8k
Ivan Kojadinovic France 22 458 0.3× 628 0.6× 312 0.3× 578 0.7× 272 0.6× 52 1.8k
Kjersti Aas Norway 18 1.3k 0.8× 493 0.5× 435 0.4× 277 0.3× 881 2.0× 40 2.8k
A. Ian McLeod Canada 27 1.1k 0.7× 485 0.4× 722 0.7× 349 0.4× 1.2k 2.6× 84 3.4k
Howell Tong United Kingdom 31 1.6k 1.0× 1.7k 1.6× 367 0.4× 467 0.6× 1.7k 3.7× 132 5.2k
James Pickands United States 15 1.6k 1.0× 829 0.8× 1.1k 1.1× 402 0.5× 710 1.6× 21 3.9k
Rolf–Dieter Reiss Germany 15 1.1k 0.7× 939 0.9× 448 0.5× 358 0.4× 401 0.9× 57 2.3k
James V. Zidek Canada 30 229 0.1× 1.2k 1.1× 300 0.3× 493 0.6× 815 1.8× 120 3.7k

Countries citing papers authored by Fabrizio Durante

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizio Durante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrizio Durante

This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio Durante. A scholar is included among the top collaborators of Fabrizio Durante 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 Fabrizio Durante. Fabrizio Durante 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.
Durante, Fabrizio, et al.. (2025). Clustering of compound events based on multivariate comonotonicity. Spatial Statistics. 66. 100881–100881. 1 indexed citations
2.
Barra, Adriano, et al.. (2024). Hebbian learning from first principles. Journal of Mathematical Physics. 65(11). 1 indexed citations
4.
Durante, Fabrizio, Angelica Gianfreda, Francesco Ravazzolo, & Luca Rossini. (2022). A multivariate dependence analysis for electricity prices, demand and renewable energy sources. Information Sciences. 590. 74–89. 15 indexed citations
5.
Navarro, Jorge, et al.. (2022). Distortion representations of multivariate distributions. Statistical Methods & Applications. 31(4). 925–954. 7 indexed citations
6.
Bevacqua, Emanuele, Carlo De Michele, Colin Manning, et al.. (2021). Guidelines for Studying Diverse Types of Compound Weather and Climate Events. Earth s Future. 9(11). 126 indexed citations
7.
Navarro, Jorge, Fabrizio Durante, & Juan Fernández Sánchez. (2020). Connecting copula properties with reliability properties of coherent systems. Applied Stochastic Models in Business and Industry. 37(3). 496–512. 5 indexed citations
8.
Navarro, Jorge & Fabrizio Durante. (2017). Copula-based representations for the reliability of the residual lifetimes of coherent systems with dependent components. Journal of Multivariate Analysis. 158. 87–102. 43 indexed citations
9.
Salvadori, Gianfausto, Fabrizio Durante, Carlo De Michele, Mauro Bernardi, & Lea Petrella. (2016). A multivariate copula‐based framework for dealing with hazard scenarios and failure probabilities. Water Resources Research. 52(5). 3701–3721. 187 indexed citations
10.
Durante, Fabrizio & Piotr Jaworski. (2013). THE USE OF THRESHOLD COPULAS FOR DEFINING CONTAGION AMONG FINANCIAL MARKETS.
11.
Salvadori, Gianfausto, et al.. (2013). Semi-parametric approximation of Kendall’s distribution function and multivariate Return Periods. French digital mathematics library (Numdam). 154(1). 151–173. 8 indexed citations
12.
Durante, Fabrizio & Juan Fernández Sánchez. (2011). A NOTE ON BICONIC COPULAS. Kybernetika. 47(4). 532–540. 7 indexed citations
13.
Salvadori, Gianfausto, Carlo De Michele, & Fabrizio Durante. (2011). On the return period and design in a multivariate framework. Hydrology and earth system sciences. 15(11). 3293–3305. 280 indexed citations
14.
Salvadori, Gianfausto, Carlo De Michele, & Fabrizio Durante. (2011). Multivariate design via Copulas. View. 31 indexed citations
15.
Durante, Fabrizio, et al.. (2010). Copula theory and its applications : proceedings of the workshop held in Warsaw, 25-26 September 2009. Springer eBooks. 27 indexed citations
16.
Durante, Fabrizio, Peter Sarkoci, & Carlo Sempi. (2008). Shuffles of copulas. Journal of Mathematical Analysis and Applications. 352(2). 914–921. 34 indexed citations
17.
Durante, Fabrizio, Anna Kolesárová, Radko Mesiar, & Carlo Sempi. (2007). Copulas with given values on a horizontal and a vertical section. Kybernetika. 43(2). 209–220. 23 indexed citations
18.
Durante, Fabrizio, Erich Peter Klement, José Juan Quesada-Molina, & Peter Sarkoci. (2007). Remarks on Two Product-like Constructions for Copulas. Kybernetika. 43(2). 235–244. 27 indexed citations
19.
Durante, Fabrizio, José Juan Quesada-Molina, & Carlo Sempi. (2006). Semicopulas : Characterizations and applicability. Kybernetika. 42(3). 287–302. 32 indexed citations
20.
Durante, Fabrizio, Radko Mesiar, & Carlo Sempi. (2005). Copulas with given diagonal section: some new results. View. 931–936. 7 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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