Marie Chabert

48 papers and 941 indexed citations i.

About

Marie Chabert is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Media Technology. According to data from OpenAlex, Marie Chabert has authored 48 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 12 papers in Electrical and Electronic Engineering and 12 papers in Media Technology. Recurrent topics in Marie Chabert’s work include Image and Signal Denoising Methods (14 papers), Remote-Sensing Image Classification (10 papers) and Advanced Image Fusion Techniques (9 papers). Marie Chabert is often cited by papers focused on Image and Signal Denoising Methods (14 papers), Remote-Sensing Image Classification (10 papers) and Advanced Image Fusion Techniques (9 papers). Marie Chabert collaborates with scholars based in France, United States and Brazil. Marie Chabert's co-authors include Jean-Yves Tourneret, Reza Shirvany, Jean Faucher, Martin Blödt, Jean–Yves Tourneret, Nicolas Dobigeon, Frédéric Pascal, Alain Giros, Qi Wei and Vincent Charvillat and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Industrial Electronics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Marie Chabert i

Fields of papers citing papers by Marie Chabert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marie Chabert

Since Specialization
Citations

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