Federica Di Stefano

15 papers and 122 indexed citations i.

About

Federica Di Stefano is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Surgery. According to data from OpenAlex, Federica Di Stefano has authored 15 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Infectious Diseases and 6 papers in Surgery. Recurrent topics in Federica Di Stefano’s work include COVID-19 diagnosis using AI (5 papers), COVID-19 Clinical Research Studies (5 papers) and Infectious Diseases and Tuberculosis (3 papers). Federica Di Stefano is often cited by papers focused on COVID-19 diagnosis using AI (5 papers), COVID-19 Clinical Research Studies (5 papers) and Infectious Diseases and Tuberculosis (3 papers). Federica Di Stefano collaborates with scholars based in Italy, United States and The Netherlands. Federica Di Stefano's co-authors include Vincenzo Schininà, Massimo Cristofaro, Fabrizio Albarello, Elisa Pianura, Ada Petrone, Stefania Ianniello, Paolo Campioni, Alessandra D’Abramo, Elisa Busi Rizzi and Alessandra Vergori and has published in prestigious journals such as Annals of Medicine, Journal of Clinical Medicine and Artificial Intelligence in Medicine.

In The Last Decade

Co-authorship network of co-authors of Federica Di Stefano i

Fields of papers citing papers by Federica Di Stefano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Federica Di Stefano

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025