Jacopo Cavazza

16 papers and 124 indexed citations i.

About

Jacopo Cavazza is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jacopo Cavazza has authored 16 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jacopo Cavazza’s work include Domain Adaptation and Few-Shot Learning (8 papers), Human Pose and Action Recognition (5 papers) and COVID-19 diagnosis using AI (3 papers). Jacopo Cavazza is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Human Pose and Action Recognition (5 papers) and COVID-19 diagnosis using AI (3 papers). Jacopo Cavazza collaborates with scholars based in Italy, United States and Germany. Jacopo Cavazza's co-authors include Vittorio Murino, Pietro Morerio, Andrea Zunino, Francesco Bossi, Agnieszka Wykowska, Serena Marchesi, Riccardo Volpi, Alessio Del Bue, René Vidal and Andrea Cavallo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Jacopo Cavazza i

Fields of papers citing papers by Jacopo Cavazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jacopo Cavazza

Since Specialization
Citations

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