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.
Countries citing papers authored by Gérard Govaert
Since
Specialization
Citations
This map shows the geographic impact of Gérard Govaert'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 Gérard Govaert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gérard Govaert more than expected).
This network shows the impact of papers produced by Gérard Govaert. 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 Gérard Govaert. The network helps show where Gérard Govaert may publish in the future.
Co-authorship network of co-authors of Gérard Govaert
This figure shows the co-authorship network connecting the top 25 collaborators of Gérard Govaert.
A scholar is included among the top collaborators of Gérard Govaert 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 Gérard Govaert. Gérard Govaert is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Keribin, Christine, Gérard Govaert, & Gilles Celeux. (2010). Estimation d'un modèle à blocs latents par l'algorithme SEM. HAL (Le Centre pour la Communication Scientifique Directe).6 indexed citations
Caudeville, Julien, Gérard Govaert, Olivier Blanchard, et al.. (2008). Construction d'un indicateur d'exposition spatialisé de l'environnement : application au Nord-Pas de Calais. HAL (Le Centre pour la Communication Scientifique Directe). 49–55.1 indexed citations
Samé, Allou, Christophe Ambroise, & Gérard Govaert. (2005). A classification EM algorithm for binned data. Computational Statistics & Data Analysis. 51(2). 466–480.6 indexed citations
12.
Biernacki, Christophe, Gilles Celeux, & Gérard Govaert. (2001). Strategies for Getting the Highest Likelihood in Mixture Models. OpenGrey (Institut de l'Information Scientifique et Technique).5 indexed citations
13.
Govaert, Gérard, et al.. (1998). FUZZY CLUSTERING OF SPATIAL BINARY DATA. Kybernetika. 34(4). 393–398.2 indexed citations
14.
Biernacki, Christophe, Gilles Celeux, & Gérard Govaert. (1998). Assessing a Mixture Model for Clustering with the Integrated Classification Likelihood. OpenGrey (Institut de l'Information Scientifique et Technique).66 indexed citations
Govaert, Gérard. (1989). La classification croisée.. 4. 9–36.22 indexed citations
20.
Govaert, Gérard. (1988). Classification binaire et modèles. French digital mathematics library (Numdam). 38(1). 14.7 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.