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.
Exploratory Multivariate Analysis by Example Using R
2017410 citationsFrançois Husson, Sébastien Lê et al.HAL (Le Centre pour la Communication Scientifique Directe)profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Jérôme Pagès'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 Jérôme Pagès with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Pagès more than expected).
This network shows the impact of papers produced by Jérôme Pagès. 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 Jérôme Pagès. The network helps show where Jérôme Pagès may publish in the future.
Co-authorship network of co-authors of Jérôme Pagès
This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Pagès.
A scholar is included among the top collaborators of Jérôme Pagès 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 Jérôme Pagès. Jérôme Pagès is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bécue-Bertaut, Mónica, Jérôme Pagès, & Belchin Kostov. (2014). Untangling the influence of several contextual variables on the respondents' lexical choices :. 38(2). 285–302.1 indexed citations
4.
Bécue-Bertaut, Mónica, Jérôme Pagès, & Belchin Kostov. (2014). Untangling the influence of several contextual variables on the respondents‘lexical choices. A statistical approach. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 38(2). 285–302.1 indexed citations
Husson, François, Julie Josse, & Jérôme Pagès. (2010). Analyse de données avec R - Complémentarité des méthodes d'analyse factorielle et de classification. HAL (Le Centre pour la Communication Scientifique Directe).13 indexed citations
8.
Lê, Sébastien & Jérôme Pagès. (2010). DMFA: Dual Multiple Factor Analysis. Communication in Statistics- Theory and Methods. 39(3). 483–492.12 indexed citations
Pagès, Jérôme, et al.. (2005). Statistiques générales pour utilisateurs.1 indexed citations
15.
Pagès, Jérôme. (2004). Multiple Factor Analysis: Main Features andApplication to Sensory Data. Revista Colombiana de Estadística. 27(1). 1–26.71 indexed citations
Escofier, Brigitte & Jérôme Pagès. (1985). Mise en oeuvre de l'analyse factorielle multiple pour des tableaux numériques qualificatifs ou mixtes. HAL (Le Centre pour la Communication Scientifique Directe).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.