Catherine Garbay

37 papers and 564 indexed citations i.

About

Catherine Garbay is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Catherine Garbay has authored 37 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 5 papers in Signal Processing. Recurrent topics in Catherine Garbay’s work include Medical Image Segmentation Techniques (14 papers), Image Retrieval and Classification Techniques (5 papers) and Cell Image Analysis Techniques (5 papers). Catherine Garbay is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), Image Retrieval and Classification Techniques (5 papers) and Cell Image Analysis Techniques (5 papers). Catherine Garbay collaborates with scholars based in France, Brazil and United States. Catherine Garbay's co-authors include Michel Dojat, Benoît Scherrer, Florence Forbes, G Brugal, J.-M. Chassery, Nathalie Richard, Vincent Rialle, Thomas Guyet, Chris Taylor and Alain Boucher and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Co-authorship network of co-authors of Catherine Garbay i

Fields of papers citing papers by Catherine Garbay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Catherine Garbay

Since Specialization
Citations

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