Federico Angelini

33 papers and 1.1k indexed citations i.

About

Federico Angelini is a scholar working on Computer Vision and Pattern Recognition, Surgery and Artificial Intelligence. According to data from OpenAlex, Federico Angelini has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Surgery and 7 papers in Artificial Intelligence. Recurrent topics in Federico Angelini’s work include Anomaly Detection Techniques and Applications (6 papers), Human Pose and Action Recognition (6 papers) and Video Surveillance and Tracking Methods (4 papers). Federico Angelini is often cited by papers focused on Anomaly Detection Techniques and Applications (6 papers), Human Pose and Action Recognition (6 papers) and Video Surveillance and Tracking Methods (4 papers). Federico Angelini collaborates with scholars based in Italy, United Kingdom and United States. Federico Angelini's co-authors include Syed Mohsen Naqvi, Zeyu Fu, Alberto Cogo, L Benedetti, F Verlato, P. Polistena, Paolo Prandoni, Enrico Bernardi, Antonio Girolami and Paolo Simioni and has published in prestigious journals such as Cancer, Annals of the Rheumatic Diseases and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Federico Angelini i

Fields of papers citing papers by Federico Angelini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Federico Angelini

Since Specialization
Citations

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