Massimo Iuliani

21 papers and 355 indexed citations i.

About

Massimo Iuliani is a scholar working on Computer Vision and Pattern Recognition, Law and Artificial Intelligence. According to data from OpenAlex, Massimo Iuliani has authored 21 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 7 papers in Law and 3 papers in Artificial Intelligence. Recurrent topics in Massimo Iuliani’s work include Digital Media Forensic Detection (21 papers), Advanced Steganography and Watermarking Techniques (19 papers) and Law in Society and Culture (7 papers). Massimo Iuliani is often cited by papers focused on Digital Media Forensic Detection (21 papers), Advanced Steganography and Watermarking Techniques (19 papers) and Law in Society and Culture (7 papers). Massimo Iuliani collaborates with scholars based in Italy, China and Brazil. Massimo Iuliani's co-authors include Alessandro Piva, Marco Fontani, Dasara Shullani, Carlo Colombo, Marco Fanfani, Fabio Bellavia, Manuel M. Oliveira, Yao Zhao, Pengpeng Yang and Rongrong Ni and has published in prestigious journals such as Sensors, IEEE Access and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Massimo Iuliani i

Fields of papers citing papers by Massimo Iuliani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Massimo Iuliani

Since Specialization
Citations

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