Michel Féron

31 papers and 836 indexed citations i.

About

Michel Féron is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Michel Féron has authored 31 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 10 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Michel Féron’s work include Digital Radiography and Breast Imaging (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and AI in cancer detection (5 papers). Michel Féron is often cited by papers focused on Digital Radiography and Breast Imaging (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and AI in cancer detection (5 papers). Michel Féron collaborates with scholars based in Belgium, France and Italy. Michel Féron's co-authors include Erwin Bellon, Frederik Maes, Paul Suetens, Walter Van den Bogaert, Robert Hermans, Karin Haustermans, Didier Bielen, B. Bussels, Laurence Goethals and Steven Dymarkowski and has published in prestigious journals such as Chemical Communications, Nature Chemistry and Nanoscale.

In The Last Decade

Co-authorship network of co-authors of Michel Féron i

Fields of papers citing papers by Michel Féron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michel Féron

Since Specialization
Citations

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