Donato Cascio

37 papers and 496 indexed citations i.

About

Donato Cascio is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Donato Cascio has authored 37 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Biomedical Engineering. Recurrent topics in Donato Cascio’s work include AI in cancer detection (13 papers), Systemic Lupus Erythematosus Research (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Donato Cascio is often cited by papers focused on AI in cancer detection (13 papers), Systemic Lupus Erythematosus Research (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Donato Cascio collaborates with scholars based in Italy, United Kingdom and Cuba. Donato Cascio's co-authors include G. Raso, F. Fauci, R. Magro, L. Abbene, Sabina Tangaro, Alessandra Retico, R. Bellotti, S.C. Cheran, Francesco De Carlo and Giuseppe Cavallaro and has published in prestigious journals such as PLoS ONE, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Donato Cascio i

Fields of papers citing papers by Donato Cascio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Donato Cascio

Since Specialization
Citations

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