Diego Gragnaniello

64 total papers · 2.3k total citations
41 papers, 1.4k citations indexed

About

Diego Gragnaniello is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Diego Gragnaniello has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 10 papers in Signal Processing and 7 papers in Media Technology. Recurrent topics in Diego Gragnaniello's work include Digital Media Forensic Detection (12 papers), Biometric Identification and Security (10 papers) and Forensic and Genetic Research (6 papers). Diego Gragnaniello is often cited by papers focused on Digital Media Forensic Detection (12 papers), Biometric Identification and Security (10 papers) and Forensic and Genetic Research (6 papers). Diego Gragnaniello collaborates with scholars based in Italy, United States and Belgium. Diego Gragnaniello's co-authors include Luisa Verdoliva, Giovanni Poggi, Carlo Sansone, Francesco Marra, Davide Cozzolino, Daniel Riccio, Nadia Brancati, Antonio Greco, Maria Frucci and Giuseppe Scarpa and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Diego Gragnaniello

40 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Diego Gragnaniello 964 545 195 194 184 41 1.4k
Daniel Ramos 568 0.6× 576 1.1× 604 3.1× 163 0.8× 160 0.9× 101 1.7k
B. M. Mehtre 1.1k 1.1× 634 1.2× 273 1.4× 345 1.8× 125 0.7× 51 1.8k
Tieniu Tan 884 0.9× 280 0.5× 217 1.1× 126 0.6× 40 0.2× 31 1.1k
Rubén Tolosana 961 1.0× 501 0.9× 359 1.8× 449 2.3× 36 0.2× 76 1.6k
Tieniu Tan 899 0.9× 405 0.7× 184 0.9× 101 0.5× 43 0.2× 31 1.2k
Peter Peer 1.3k 1.3× 694 1.3× 153 0.8× 153 0.8× 21 0.1× 101 1.7k
Angelo Genovese 606 0.6× 605 1.1× 280 1.4× 234 1.2× 123 0.7× 82 1.2k
Graham Leedham 826 0.9× 451 0.8× 189 1.0× 177 0.9× 56 0.3× 51 1.1k
Ajita Rattani 874 0.9× 871 1.6× 111 0.6× 389 2.0× 119 0.6× 89 1.3k
Marta Gomez‐Barrero 1.0k 1.1× 1.1k 2.1× 215 1.1× 705 3.6× 101 0.5× 55 1.5k

Countries citing papers authored by Diego Gragnaniello

Since Specialization
Citations

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

Fields of papers citing papers by Diego Gragnaniello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Gragnaniello

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Gragnaniello. A scholar is included among the top collaborators of Diego Gragnaniello based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diego Gragnaniello. Diego Gragnaniello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026