Sara Mandelli

17 papers and 263 indexed citations i.

About

Sara Mandelli is a scholar working on Computer Vision and Pattern Recognition, Law and Artificial Intelligence. According to data from OpenAlex, Sara Mandelli has authored 17 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 5 papers in Law and 3 papers in Artificial Intelligence. Recurrent topics in Sara Mandelli’s work include Digital Media Forensic Detection (15 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Sara Mandelli is often cited by papers focused on Digital Media Forensic Detection (15 papers), Advanced Steganography and Watermarking Techniques (7 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Sara Mandelli collaborates with scholars based in Italy, United States and China. Sara Mandelli's co-authors include Paolo Bestagini, Stefano Tubaro, Nicolò Bonettini, Luca Bondi, Luisa Verdoliva, Davide Cozzolino, Edward J. Delp, Weiming Zhang, Wenbo Zhou and Vincenzo Lipari and has published in prestigious journals such as IEEE Access, Remote Sensing and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Co-authorship network of co-authors of Sara Mandelli i

Fields of papers citing papers by Sara Mandelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sara Mandelli

Since Specialization
Citations

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