Alessia De Rosa

33 papers and 901 indexed citations i.

About

Alessia De Rosa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Alessia De Rosa has authored 33 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Alessia De Rosa’s work include Advanced Steganography and Watermarking Techniques (26 papers), Digital Media Forensic Detection (21 papers) and Chaos-based Image/Signal Encryption (11 papers). Alessia De Rosa is often cited by papers focused on Advanced Steganography and Watermarking Techniques (26 papers), Digital Media Forensic Detection (21 papers) and Chaos-based Image/Signal Encryption (11 papers). Alessia De Rosa collaborates with scholars based in Italy, Brazil and Spain. Alessia De Rosa's co-authors include Alessandro Piva, Mauro Barni, Tiziano Bianchi, Pasquale Ferrara, F. Bartolini, Marco Fontani, Andrea Del Mastio, Anna Pelagotti, Francesca Uccheddu and A. Costanzo and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and IEEE Signal Processing Magazine.

In The Last Decade

Co-authorship network of co-authors of Alessia De Rosa i

Fields of papers citing papers by Alessia De Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alessia De Rosa. 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 Alessia De Rosa. The network helps show where Alessia De Rosa may publish in the future.

Countries citing papers authored by Alessia De Rosa

Since Specialization
Citations

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