F. Del Corso

11 papers and 98 indexed citations i.

About

F. Del Corso is a scholar working on Urology, Rheumatology and Computer Vision and Pattern Recognition. According to data from OpenAlex, F. Del Corso has authored 11 papers receiving a total of 98 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Urology, 3 papers in Rheumatology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in F. Del Corso’s work include Urinary Bladder and Prostate Research (5 papers), Pelvic Floor Disorders (3 papers) and Image and Object Detection Techniques (2 papers). F. Del Corso is often cited by papers focused on Urinary Bladder and Prostate Research (5 papers), Pelvic Floor Disorders (3 papers) and Image and Object Detection Techniques (2 papers). F. Del Corso collaborates with scholars based in Italy. F. Del Corso's co-authors include Giulio Del Popolo, Maria Celso, Stefania Musco, G. de Scisciolo, Giuseppe Lombardi, Anna Maria Ierardi, Francesco Pinto, A. Gabrielli, F. Alfonsi and Massimo Lazzeri and has published in prestigious journals such as The Journal of Urology, Sensors and Clinical Neurophysiology.

In The Last Decade

Co-authorship network of co-authors of F. Del Corso i

Fields of papers citing papers by F. Del Corso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Del Corso. 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 F. Del Corso. The network helps show where F. Del Corso may publish in the future.

Countries citing papers authored by F. Del Corso

Since Specialization
Citations

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