G. Govaert

11 papers and 1.0k indexed citations i.

About

G. Govaert is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing. According to data from OpenAlex, G. Govaert has authored 11 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 3 papers in Signal Processing. Recurrent topics in G. Govaert’s work include Bayesian Methods and Mixture Models (10 papers), Advanced Clustering Algorithms Research (8 papers) and Statistical Methods and Bayesian Inference (4 papers). G. Govaert is often cited by papers focused on Bayesian Methods and Mixture Models (10 papers), Advanced Clustering Algorithms Research (8 papers) and Statistical Methods and Bayesian Inference (4 papers). G. Govaert collaborates with scholars based in France. G. Govaert's co-authors include Christophe Biernacki, Gilles Celeux, Mohamed Nadif, Christophe Ambroise and Hani Hamdan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters and Computational Statistics & Data Analysis.

In The Last Decade

Co-authorship network of co-authors of G. Govaert i

Fields of papers citing papers by G. Govaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. 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 G. Govaert. The network helps show where G. Govaert may publish in the future.

Countries citing papers authored by G. Govaert

Since Specialization
Citations

This map shows the geographic impact of G. 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 G. Govaert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. 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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