Patricia Ladret

13 papers and 406 indexed citations i.

About

Patricia Ladret is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Media Technology. According to data from OpenAlex, Patricia Ladret has authored 13 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Cognitive Neuroscience and 2 papers in Media Technology. Recurrent topics in Patricia Ladret’s work include Image and Video Quality Assessment (6 papers), Visual Attention and Saliency Detection (4 papers) and Advanced Image Processing Techniques (3 papers). Patricia Ladret is often cited by papers focused on Image and Video Quality Assessment (6 papers), Visual Attention and Saliency Detection (4 papers) and Advanced Image Processing Techniques (3 papers). Patricia Ladret collaborates with scholars based in France, Vietnam and Switzerland. Patricia Ladret's co-authors include Marina Nicolas, Nathalie Guyader, Denis Pellerin, Alice Caplier, Ngoc‐Son Vu, Claire Mantel, Pauline Favre and Catherine Belin and has published in prestigious journals such as Signal Processing, Computer Vision and Image Understanding and Signal Processing Image Communication.

In The Last Decade

Co-authorship network of co-authors of Patricia Ladret i

Fields of papers citing papers by Patricia Ladret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Patricia Ladret

Since Specialization
Citations

This map shows the geographic impact of Patricia Ladret'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 Patricia Ladret with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia Ladret 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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2026