Gérard Govaert

About

Gérard Govaert is a scholar working on Artificial Intelligence, Signal Processing and Statistics and Probability. According to data from OpenAlex, Gérard Govaert has authored 34 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 10 papers in Signal Processing and 7 papers in Statistics and Probability. Recurrent topics in Gérard Govaert’s work include Bayesian Methods and Mixture Models (25 papers), Advanced Clustering Algorithms Research (14 papers) and Data Management and Algorithms (6 papers). Gérard Govaert is often cited by papers focused on Bayesian Methods and Mixture Models (25 papers), Advanced Clustering Algorithms Research (14 papers) and Data Management and Algorithms (6 papers). Gérard Govaert collaborates with scholars based in France, United Kingdom and Belgium. Gérard Govaert's co-authors include Gilles Celeux, Christophe Biernacki, Mohamed Nadif, Allou Samé, Patrice Aknin, Faïcel Chamroukhi, Christine Keribin, Vincent Brault, Rémi Lebret and Christophe Ambroise and has published in prestigious journals such as The Science of The Total Environment, European Journal of Operational Research and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Gérard Govaert i

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Fields of papers citing papers by Gérard Govaert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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).

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.

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