Valérie Perrier

31 papers and 829 indexed citations i.

About

Valérie Perrier is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Geophysics. According to data from OpenAlex, Valérie Perrier has authored 31 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 15 papers in Computational Mechanics and 7 papers in Geophysics. Recurrent topics in Valérie Perrier’s work include Image and Signal Denoising Methods (20 papers), Seismic Imaging and Inversion Techniques (7 papers) and Advanced Numerical Analysis Techniques (4 papers). Valérie Perrier is often cited by papers focused on Image and Signal Denoising Methods (20 papers), Seismic Imaging and Inversion Techniques (7 papers) and Advanced Numerical Analysis Techniques (4 papers). Valérie Perrier collaborates with scholars based in France, Poland and Italy. Valérie Perrier's co-authors include Thomas Oberlin, Sylvain Meignen, Claude Basdevant, Pascal Monasse, Silvia Bertoluzza, Marianne Clausel, Yvon Maday, Radjesvarane Alexandre, Christophe Deroulers and Maxime Battistella and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, IEEE Transactions on Signal Processing and Journal of Applied Crystallography.

In The Last Decade

Co-authorship network of co-authors of Valérie Perrier i

Fields of papers citing papers by Valérie Perrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Valérie Perrier

Since Specialization
Citations

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