Federica Ferrari

18 papers and 743 indexed citations i.

About

Federica Ferrari is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Oncology. According to data from OpenAlex, Federica Ferrari has authored 18 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pediatrics, Perinatology and Child Health and 4 papers in Oncology. Recurrent topics in Federica Ferrari’s work include Radiomics and Machine Learning in Medical Imaging (6 papers), Family Support in Illness (3 papers) and AI in cancer detection (3 papers). Federica Ferrari is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Family Support in Illness (3 papers) and AI in cancer detection (3 papers). Federica Ferrari collaborates with scholars based in Italy, United Kingdom and United States. Federica Ferrari's co-authors include Gaia Perego, Valentina Di Mattei, Paola Taranto, Martina Mazzetti, Rossella Di Pierro, Emanuele Preti, Fabio Madeddu, Raffaella Calati, Gabriella Pravettoni and Andrea Manfrinati and has published in prestigious journals such as Human Reproduction, Frontiers in Psychology and Frontiers in Genetics.

In The Last Decade

Co-authorship network of co-authors of Federica Ferrari i

Fields of papers citing papers by Federica Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Federica Ferrari

Since Specialization
Citations

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