Federico Perazzi

18 papers and 2.2k indexed citations i.

About

Federico Perazzi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Federico Perazzi has authored 18 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Federico Perazzi’s work include Advanced Image Processing Techniques (7 papers), Advanced Vision and Imaging (5 papers) and Video Surveillance and Tracking Methods (4 papers). Federico Perazzi is often cited by papers focused on Advanced Image Processing Techniques (7 papers), Advanced Vision and Imaging (5 papers) and Video Surveillance and Tracking Methods (4 papers). Federico Perazzi collaborates with scholars based in United States, Switzerland and Saudi Arabia. Federico Perazzi's co-authors include Yael Pritch, Philipp Krähenbühl, Andreas Hornung, Alexander Sorkine‐Hornung, Oliver Wang, Anna Khoreva, Bernt Schiele, Rodrigo Benenson, Zhe Lin and Markus Groß and has published in prestigious journals such as IEEE Transactions on Image Processing, ACM Transactions on Graphics and Computer Graphics Forum.

In The Last Decade

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

Fields of papers citing papers by Federico Perazzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Federico Perazzi

Since Specialization
Citations

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