Marie-Pierre Revel

38 papers and 1.3k indexed citations i.

About

Marie-Pierre Revel is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Marie-Pierre Revel has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 14 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Surgery. Recurrent topics in Marie-Pierre Revel’s work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers), COVID-19 diagnosis using AI (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Marie-Pierre Revel is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers), COVID-19 diagnosis using AI (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Marie-Pierre Revel collaborates with scholars based in France, United Kingdom and Norway. Marie-Pierre Revel's co-authors include Guillaume Chassagnon, Souhail Bennani, Nikos Paragios, Séverine Dangeard, Inès Saab, Chahinez Hani, Anagha P. Parkar, Fergus Gleeson, Helmut Prosch and Nicola Sverzellati and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Lara D. Veeken.

In The Last Decade

Co-authorship network of co-authors of Marie-Pierre Revel i

Fields of papers citing papers by Marie-Pierre Revel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie-Pierre Revel. 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 Marie-Pierre Revel. The network helps show where Marie-Pierre Revel may publish in the future.

Countries citing papers authored by Marie-Pierre Revel

Since Specialization
Citations

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