Nadia Brancati

20 papers and 335 indexed citations i.

About

Nadia Brancati is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nadia Brancati has authored 20 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nadia Brancati’s work include AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Cell Image Analysis Techniques (5 papers). Nadia Brancati is often cited by papers focused on AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Cell Image Analysis Techniques (5 papers). Nadia Brancati collaborates with scholars based in Italy, Switzerland and Sweden. Nadia Brancati's co-authors include Maria Frucci, Daniel Riccio, Giuseppe De Pietro, Luigi Gallo, Diego Gragnaniello, Guillaume Jaume, Maurizio Di Bonito, Giosuè Scognamiglio, Florinda Feroce and Anna Maria Anniciello and has published in prestigious journals such as Sensors, IEEE Access and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Nadia Brancati i

Fields of papers citing papers by Nadia Brancati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nadia Brancati

Since Specialization
Citations

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