Federico Angelini

73 total papers · 1.8k total citations
36 papers, 1.3k citations indexed

About

Federico Angelini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Surgery. According to data from OpenAlex, Federico Angelini has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 8 papers in Surgery. Recurrent topics in Federico Angelini's work include Anomaly Detection Techniques and Applications (8 papers), Human Pose and Action Recognition (6 papers) and Video Surveillance and Tracking Methods (5 papers). Federico Angelini is often cited by papers focused on Anomaly Detection Techniques and Applications (8 papers), Human Pose and Action Recognition (6 papers) and Video Surveillance and Tracking Methods (5 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, Jonathon A. Chambers, Vittorio Mazzia, Marcello Chiaberge, Simone Angarano, Francesco Salvetti, Enrico Bernardi, P. Polistena and Paolo Simioni and has published in prestigious journals such as Cancer, IEEE Access and Annals of the Rheumatic Diseases.

In The Last Decade

Federico Angelini

35 papers receiving 1.2k citations

Hit Papers

Osteoarthritis endotype d... 2022 2026 2023 2024 2022 25 50 75

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Federico Angelini 421 382 316 220 186 36 1.3k
Timothy R. Spencer 386 0.9× 344 0.9× 57 0.2× 58 0.3× 490 2.6× 57 1.7k
Michèle Depairon 356 0.8× 113 0.3× 203 0.6× 21 0.1× 67 0.4× 51 1.1k
Aditya Sharma 387 0.9× 40 0.1× 120 0.4× 138 0.6× 35 0.2× 126 1.7k
Alexander Chase 868 2.1× 32 0.1× 152 0.5× 84 0.4× 124 0.7× 23 1.7k
A.P. Loh 311 0.7× 227 0.6× 51 0.2× 154 0.7× 30 0.2× 103 1.8k
B. Wein 242 0.6× 750 2.0× 29 0.1× 404 1.8× 33 0.2× 90 1.5k
Jun Xiao 145 0.3× 41 0.1× 91 0.3× 47 0.2× 23 0.1× 89 1.8k
Aalpen A. Patel 531 1.3× 35 0.1× 219 0.7× 108 0.5× 655 3.5× 63 1.6k
Waleed Ahmed 199 0.5× 101 0.3× 41 0.1× 45 0.2× 15 0.1× 49 1.5k
Akira Furukawa 949 2.3× 113 0.3× 16 0.1× 67 0.3× 51 0.3× 117 1.8k

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).

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.

Co-authorship network of co-authors of Federico Angelini

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Angelini. A scholar is included among the top collaborators of Federico Angelini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Federico Angelini. Federico Angelini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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