Jean Feydy

7 papers and 114 indexed citations i.

About

Jean Feydy is a scholar working on Materials Chemistry, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jean Feydy has authored 7 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Materials Chemistry, 2 papers in Biomedical Engineering and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jean Feydy’s work include Machine Learning in Materials Science (2 papers), Advanced X-ray and CT Imaging (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Jean Feydy is often cited by papers focused on Machine Learning in Materials Science (2 papers), Advanced X-ray and CT Imaging (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Jean Feydy collaborates with scholars based in France, United Kingdom and The Netherlands. Jean Feydy's co-authors include A. Feydy, Bruno E. Correia, Michael M. Bronstein, Freyr Sverrisson, Augustin Lecler, Loïc Duron, Maxime Barat, Philippe Soyer, David Biau and Frédérique Larousserie and has published in prestigious journals such as Computational Materials Science, Journal of Scientific Computing and Diagnostic and Interventional Imaging.

In The Last Decade

Co-authorship network of co-authors of Jean Feydy i

Fields of papers citing papers by Jean Feydy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jean Feydy

Since Specialization
Citations

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