R. Di Paola

85 papers and 1.2k indexed citations i.

About

R. Di Paola is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, R. Di Paola has authored 85 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Pulmonary and Respiratory Medicine and 15 papers in Artificial Intelligence. Recurrent topics in R. Di Paola’s work include Medical Imaging Techniques and Applications (31 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Advanced MRI Techniques and Applications (12 papers). R. Di Paola is often cited by papers focused on Medical Imaging Techniques and Applications (31 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Advanced MRI Techniques and Applications (12 papers). R. Di Paola collaborates with scholars based in France, United Kingdom and United States. R. Di Paola's co-authors include Habib Benali, Irène Buvat, J. Bazin, Andrew Todd‐Pokropek, Frédérique Frouin, Florent Aubry, Emily B. Kahn, G Contesso, A. Aurengo and J.Y. Herry and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of The Electrochemical Society and Stroke.

In The Last Decade

Co-authorship network of co-authors of R. Di Paola i

Fields of papers citing papers by R. Di Paola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Di Paola. 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 R. Di Paola. The network helps show where R. Di Paola may publish in the future.

Countries citing papers authored by R. Di Paola

Since Specialization
Citations

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