Roberto Grassi

54 papers and 1.3k indexed citations i.

About

Roberto Grassi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Roberto Grassi has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Pulmonary and Respiratory Medicine and 18 papers in Oncology. Recurrent topics in Roberto Grassi’s work include Radiomics and Machine Learning in Medical Imaging (21 papers), AI in cancer detection (10 papers) and COVID-19 diagnosis using AI (7 papers). Roberto Grassi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (21 papers), AI in cancer detection (10 papers) and COVID-19 diagnosis using AI (7 papers). Roberto Grassi collaborates with scholars based in Italy, United States and Germany. Roberto Grassi's co-authors include Vittorio Miele, Vincenza Granata, Roberta Fusco, Emanuele Neri, Francesca Coppola, Roberta Grassi, Antonella Petrillo, Francesco Izzo, Salvatore Cappabianca and Alfonso Reginelli and has published in prestigious journals such as International Journal of Environmental Research and Public Health, World Journal of Gastroenterology and Oncotarget.

In The Last Decade

Co-authorship network of co-authors of Roberto Grassi i

Fields of papers citing papers by Roberto Grassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Roberto Grassi

Since Specialization
Citations

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