Andrea Basso

22 papers and 130 indexed citations i.

About

Andrea Basso is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Sociology and Political Science. According to data from OpenAlex, Andrea Basso has authored 22 papers receiving a total of 130 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 7 papers in Sociology and Political Science. Recurrent topics in Andrea Basso’s work include Video Coding and Compression Technologies (8 papers), Multimedia Communication and Technology (6 papers) and Advanced Data Compression Techniques (6 papers). Andrea Basso is often cited by papers focused on Video Coding and Compression Technologies (8 papers), Multimedia Communication and Technology (6 papers) and Advanced Data Compression Techniques (6 papers). Andrea Basso collaborates with scholars based in United States, Switzerland and Canada. Andrea Basso's co-authors include David M. Weimer, Jennifer Rexford, David Theo Goldberg, Amy R. Reibman, Fouad A. Tobagi, Jean‐Pierre Hubaux, Léon Bottou, Peter F. Driessen, Carlos Fernández and M. Kunt and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Computer Networks and Clinical Oral Investigations.

In The Last Decade

Co-authorship network of co-authors of Andrea Basso i

Fields of papers citing papers by Andrea Basso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrea Basso

Since Specialization
Citations

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