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 →
Citations per year, relative to Carlo Sempi Carlo Sempi (= 1×)
peers
V. V. Petrov
Countries citing papers authored by Carlo Sempi
Since
Specialization
Citations
This map shows the geographic impact of Carlo Sempi'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 Carlo Sempi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Sempi more than expected).
This network shows the impact of papers produced by Carlo Sempi. 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 Carlo Sempi. The network helps show where Carlo Sempi may publish in the future.
Co-authorship network of co-authors of Carlo Sempi
This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Sempi.
A scholar is included among the top collaborators of Carlo Sempi 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 Carlo Sempi. Carlo Sempi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Durante, Fabrizio, Juan Fernández Sánchez, & Carlo Sempi. (2013). A topological proof of Sklar’s theorem. Applied Mathematics Letters. 26(9). 945–948.38 indexed citations
4.
Sempi, Carlo. (2013). Entropies on independent occupation spaces. Note di matematica/Note di matematica - Università degli studi di Lecce. 1(1). 43–52.1 indexed citations
Durante, Fabrizio, Peter Sarkoci, & Carlo Sempi. (2008). Shuffles of copulas. Journal of Mathematical Analysis and Applications. 352(2). 914–921.34 indexed citations
7.
Durante, Fabrizio, et al.. (2007). Different Types of Convexity and Concavity for Copulas.. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 185–189.4 indexed citations
8.
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
9.
Durante, Fabrizio, José Juan Quesada-Molina, & Carlo Sempi. (2006). Semicopulas : Characterizations and applicability. Kybernetika. 42(3). 287–302.32 indexed citations
10.
Durante, Fabrizio, Radko Mesiar, & Carlo Sempi. (2005). Copulas with given diagonal section: some new results. View. 931–936.7 indexed citations
11.
Sempi, Carlo. (2005). Introduzione alla teoria Ergodica. 2005(2).
Rodrı́guez-Lallena, José Antonio, et al.. (1998). Probabilistic Norms for Linear Operators. Journal of Mathematical Analysis and Applications. 220(2). 462–476.23 indexed citations
16.
Alsina, C., et al.. (1997). On the definition of a probabilistic inner product space. SHILAP Revista de lepidopterología.9 indexed citations
17.
Sempi, Carlo. (1989). Variations on a theme by Scheffé. OpenstarTs (Univeristy of Trieste https://www.units.it/).1 indexed citations
18.
Sempi, Carlo. (1985). Orlicz metrics derive from a single probabilistic metric.. 9(2). 181–184.1 indexed citations
Forte, Bruno & Carlo Sempi. (1978). Pruning and measures of uncertainty. Springer Link (Chiba Institute of Technology). 12(2). 157–168.2 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.