Gérard Govaert
- Artificial Intelligence top 0.5%
- Statistics and Probability top 0.5%
- Signal Processing top 2%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Gilles CeleuxChristophe BiernackiMohamed NadifAllou SaméPatrice AkninChristine KeribinFaïcel ChamroukhiVincent Brault
- Topics
- Bayesian Methods and Mixture Models (29 papers)Advanced Clustering Algorithms Research (15 papers)Data Management and Algorithms (7 papers)
- Journals
- The Science of The Total EnvironmentEuropean Journal of Operational ResearchPattern Recognition
- Partner nations
- FranceUnited KingdomTanzania
In The Last Decade
Gérard Govaert
42 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 1.6k
- Statistics and Probability 583
- Signal Processing 396
- Molecular Biology 331
- Computer Vision and Pattern Recognition 328
Countries citing papers authored by Gérard Govaert
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).
Fields of papers citing papers by Gérard Govaert
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.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 22 | |
| 4 | Estimation d'un modèle à blocs latents par l'algorithme SEM | 6 |
| 5 | 30 | |
| 6 | Algorithms for Model-based Block Gaussian Clustering. | 4 |
| 7 | 13 | |
| 8 | Construction d'un indicateur d'exposition spatialisé de l'environnement : application au Nord-Pas de Calais | 1 |
| 9 | 111 | |
| 10 | 10 | |
| 11 | 6 | |
| 12 | Strategies for Getting the Highest Likelihood in Mixture Models | 5 |
| 13 | FUZZY CLUSTERING OF SPATIAL BINARY DATA | 2 |
| 14 | Assessing a Mixture Model for Clustering with the Integrated Classification Likelihood | 66 |
| 15 | 1 | |
| 16 | Gaussian parsimonious clustering modelsbreakdown → | 519 |
| 17 | 454 | |
| 18 | 62 | |
| 19 | La classification croisée. | 22 |
| 20 | Classification binaire et modèles | 7 |
About Gérard Govaert
Gérard Govaert is a scholar working on Statistics and Probability, Artificial Intelligence and Signal Processing, having authored 42 papers that have together received 2.6k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (29 papers), Advanced Clustering Algorithms Research (15 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Statistics and Probability (583 citations), Artificial Intelligence (1.6k citations) and Computational Mathematics (30 citations). Gérard Govaert has collaborated with scholars based in France, United Kingdom and Tanzania. Frequent co-authors include Gilles Celeux, Christophe Biernacki, Mohamed Nadif, Allou Samé, Patrice Aknin, Christine Keribin, Faïcel Chamroukhi, Vincent Brault, Rémi Lebret and Christophe Ambroise. Their work appears in journals such as The Science of The Total Environment, European Journal of Operational Research and Pattern Recognition.
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.