Lorenzo Putzu

18 papers and 400 indexed citations i.

About

Lorenzo Putzu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics. According to data from OpenAlex, Lorenzo Putzu has authored 18 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 6 papers in Biophysics. Recurrent topics in Lorenzo Putzu’s work include Digital Imaging for Blood Diseases (7 papers), Cell Image Analysis Techniques (6 papers) and Video Surveillance and Tracking Methods (6 papers). Lorenzo Putzu is often cited by papers focused on Digital Imaging for Blood Diseases (7 papers), Cell Image Analysis Techniques (6 papers) and Video Surveillance and Tracking Methods (6 papers). Lorenzo Putzu collaborates with scholars based in Italy. Lorenzo Putzu's co-authors include Cecilia Di Ruberto, Giovanni Caocci, Andrea Loddo, Giorgio Fumera, G. Rodríguez, Luca Piras, Giorgio Giacinto and Fabio Roli and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Lorenzo Putzu i

Fields of papers citing papers by Lorenzo Putzu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lorenzo Putzu

Since Specialization
Citations

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