Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Principles of Copula Theory
2015406 citationsFabrizio Durante, Carlo Sempiprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
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
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.
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
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.