Alessandro Piva

122 papers and 4.0k indexed citations i.

About

Alessandro Piva is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Law. According to data from OpenAlex, Alessandro Piva has authored 122 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 17 papers in Law. Recurrent topics in Alessandro Piva’s work include Advanced Steganography and Watermarking Techniques (91 papers), Digital Media Forensic Detection (70 papers) and Chaos-based Image/Signal Encryption (35 papers). Alessandro Piva is often cited by papers focused on Advanced Steganography and Watermarking Techniques (91 papers), Digital Media Forensic Detection (70 papers) and Chaos-based Image/Signal Encryption (35 papers). Alessandro Piva collaborates with scholars based in Italy, China and Spain. Alessandro Piva's co-authors include Mauro Barni, Tiziano Bianchi, F. Bartolini, Alessia De Rosa, Marco Fontani, V. Cappellini, Pasquale Ferrara, Massimo Iuliani, Dasara Shullani and Anna Pelagotti and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and Sensors.

In The Last Decade

Co-authorship network of co-authors of Alessandro Piva i

Fields of papers citing papers by Alessandro Piva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alessandro Piva

Since Specialization
Citations

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