Katia Charrière

11 papers and 384 indexed citations i.

About

Katia Charrière is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Katia Charrière has authored 11 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Katia Charrière’s work include Retinal Imaging and Analysis (3 papers), Nutrition and Health in Aging (3 papers) and Video Analysis and Summarization (2 papers). Katia Charrière is often cited by papers focused on Retinal Imaging and Analysis (3 papers), Nutrition and Health in Aging (3 papers) and Video Analysis and Summarization (2 papers). Katia Charrière collaborates with scholars based in France. Katia Charrière's co-authors include Mathieu Lamard, Gwenolé Quellec, Béatrice Cochener, Guy Cazuguel, Gouenou Coatrieux, Christian Roux, Alexandre Moreau–Gaudry, Jean‐Luc Bosson, Antoine Vilotitch and G. Ferretti and has published in prestigious journals such as Medical Physics, Medical Image Analysis and Scientific Data.

In The Last Decade

Co-authorship network of co-authors of Katia Charrière i

Fields of papers citing papers by Katia Charrière

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Katia Charrière

Since Specialization
Citations

This map shows the geographic impact of Katia Charrière'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 Katia Charrière with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katia Charrière 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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2025