Gérard Favier

100 papers and 1.4k indexed citations i.

About

Gérard Favier is a scholar working on Computational Mathematics, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Gérard Favier has authored 100 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computational Mathematics, 36 papers in Computer Networks and Communications and 34 papers in Control and Systems Engineering. Recurrent topics in Gérard Favier’s work include Tensor decomposition and applications (46 papers), Wireless Communication Networks Research (32 papers) and Advanced Adaptive Filtering Techniques (32 papers). Gérard Favier is often cited by papers focused on Tensor decomposition and applications (46 papers), Wireless Communication Networks Research (32 papers) and Advanced Adaptive Filtering Techniques (32 papers). Gérard Favier collaborates with scholars based in France, Brazil and Tunisia. Gérard Favier's co-authors include André L. F. de Almeida, Alain Y. Kibangou, João Mota, W.C. Amaral, Ricardo J.G.B. Campello, Carlos Alexandre Rolim Fernandes, João Marcos Travassos Romano, Rémy Boyer, Moha M’Rabet Hassani and Walter C. Freitas and has published in prestigious journals such as Automatica, IEEE Transactions on Signal Processing and Journal of the Franklin Institute.

In The Last Decade

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

Fields of papers citing papers by Gérard Favier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gérard Favier

Since Specialization
Citations

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