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.
Goodness-of-fit tests for copulas: A review and a power study
2007975 citationsChristian Genest, Bruno Rémillard et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Bruno Rémillard
Since
Specialization
Citations
This map shows the geographic impact of Bruno Rémillard'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 Bruno Rémillard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Rémillard more than expected).
This network shows the impact of papers produced by Bruno Rémillard. 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 Bruno Rémillard. The network helps show where Bruno Rémillard may publish in the future.
Co-authorship network of co-authors of Bruno Rémillard
This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Rémillard.
A scholar is included among the top collaborators of Bruno Rémillard 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 Bruno Rémillard. Bruno Rémillard is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Renaud, Jean‐François & Bruno Rémillard. (2009). Malliavin Calculus and Clark-Ocone Formula for Functionals of a Square-Integrable Lévy Process. Les Cahiers du GERAD. 1–28.1 indexed citations
9.
Rémillard, Bruno, et al.. (2009). Optimal Hedging in Discrete and Continuous Time. Les Cahiers du GERAD. 1–38.1 indexed citations
Rémillard, Bruno, Christian Genest, & David Beaudoin. (2006). Omnibus Goodness-of-Fit Tests for Copulas: A Review and a Power Study. Les Cahiers du GERAD. 1–43.27 indexed citations
12.
Rémillard, Bruno, Debbie J. Dupuis, Nicolas Papageorgiou, & Éric Jacquier. (2006). Empirical Study of Dependence of Credit Default Data and Equity Prices. Les Cahiers du GERAD. 1–20.1 indexed citations
13.
Rémillard, Bruno & Christian Genest. (2005). Validity of the Parametric Bootstrap for Goodness-of-Fit Testing in Semiparametric Models. Les Cahiers du GERAD. 1–42.14 indexed citations
14.
Rémillard, Bruno, et al.. (2005). Credit Migration and Derivatives Pricing Using Copulas. Les Cahiers du GERAD. 1–32.2 indexed citations
Gauthier, Geneviève, et al.. (2004). Pricing Variance Options in a GARCH Setting. Les Cahiers du GERAD. 1–32.5 indexed citations
17.
Rémillard, Bruno, Christian Genest, & Jean‐François Quessy. (2003). Goodness-of-fit Procedures for Copula Models Based on the Integral Probability Transformation. Les Cahiers du GERAD. 1–34.33 indexed citations
18.
Rémillard, Bruno & Christian Genest. (2002). Empirical Rank Processes for Detecting Dependence. Les Cahiers du GERAD. 1–40.1 indexed citations
Barbe, Philippe, Christian Genest, Kilani Ghoudi, & Bruno Rémillard. (1996). On Kendall's Process. Journal of Multivariate Analysis. 58(2). 197–229.112 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.