Filippo Pesapane

110 papers and 1.9k indexed citations i.

About

Filippo Pesapane is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Filippo Pesapane has authored 110 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Radiology, Nuclear Medicine and Imaging, 34 papers in Pulmonary and Respiratory Medicine and 20 papers in Artificial Intelligence. Recurrent topics in Filippo Pesapane’s work include Radiomics and Machine Learning in Medical Imaging (32 papers), MRI in cancer diagnosis (25 papers) and AI in cancer detection (19 papers). Filippo Pesapane is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (32 papers), MRI in cancer diagnosis (25 papers) and AI in cancer detection (19 papers). Filippo Pesapane collaborates with scholars based in Italy, United Kingdom and United States. Filippo Pesapane's co-authors include Francesco Sardanelli, Marina Codari, Enrico Cassano, Francesca Patella, Gianpaolo Carrafiello, Anna Rotili, Anna Maria Ierardi, Silvia Penco, Luca Nicosia and Enrico Maria Fumarola and has published in prestigious journals such as International Journal of Molecular Sciences, Human Molecular Genetics and Breast Cancer Research and Treatment.

In The Last Decade

Co-authorship network of co-authors of Filippo Pesapane i

Fields of papers citing papers by Filippo Pesapane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Filippo Pesapane

Since Specialization
Citations

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