Michel Bilello

57 papers and 2.8k indexed citations i.

About

Michel Bilello is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michel Bilello has authored 57 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Genetics and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michel Bilello’s work include Radiomics and Machine Learning in Medical Imaging (19 papers), MRI in cancer diagnosis (13 papers) and Glioma Diagnosis and Treatment (12 papers). Michel Bilello is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (19 papers), MRI in cancer diagnosis (13 papers) and Glioma Diagnosis and Treatment (12 papers). Michel Bilello collaborates with scholars based in United States, Poland and China. Michel Bilello's co-authors include Christos Davatzikos, Hamed Akbari, Martin Rozycki, Spyridon Bakas, Aristeidis Sotiras, Justin Kirby, John Freymann, Keyvan Farahani, Xiao Da and George Biros and has published in prestigious journals such as NeuroImage, Neurology and Cancer.

In The Last Decade

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

Fields of papers citing papers by Michel Bilello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michel Bilello

Since Specialization
Citations

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