Riccardo Corvi

11 total papers · 408 total citations
4 papers, 171 citations indexed

About

Riccardo Corvi is a scholar working on Computer Vision and Pattern Recognition, Law and Biophysics. According to data from OpenAlex, Riccardo Corvi has authored 4 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Law and 1 paper in Biophysics. Recurrent topics in Riccardo Corvi's work include Generative Adversarial Networks and Image Synthesis (2 papers), Digital Media Forensic Detection (2 papers) and Cell Image Analysis Techniques (1 paper). Riccardo Corvi is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Digital Media Forensic Detection (2 papers) and Cell Image Analysis Techniques (1 paper). Riccardo Corvi collaborates with scholars based in Italy, United States and Germany. Riccardo Corvi's co-authors include Davide Cozzolino, Luisa Verdoliva, Giovanni Poggi, Koki Nagano and Matthias Nießner and has published in prestigious journals such as IEEE Security & Privacy.

In The Last Decade

Riccardo Corvi

4 papers receiving 168 citations

Hit Papers

On The Detection of Synth... 2023 2026 2024 2023 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Riccardo Corvi 124 43 9 5 5 4 171
Vighnesh Birodkar 140 1.1× 60 1.4× 13 1.4× 8 1.6× 2 0.4× 4 167
Marcin Moczulski 93 0.8× 80 1.9× 7 0.8× 3 0.6× 4 0.8× 5 127
Terrance DeVries 82 0.7× 27 0.6× 14 1.6× 7 1.4× 1 0.2× 3 113
Taihong Xiao 91 0.7× 43 1.0× 7 0.8× 3 0.6× 6 117
Rafael Sampaio de Rezende 139 1.1× 65 1.5× 14 1.6× 4 0.8× 4 167
Mehdi Cherti 133 1.1× 99 2.3× 7 0.8× 9 1.8× 1 0.2× 6 221
Orestis Plevrakis 51 0.4× 84 2.0× 5 0.6× 5 1.0× 3 0.6× 2 113
Joern-Henrik Jacobsen 53 0.4× 86 2.0× 8 0.9× 2 0.4× 2 0.4× 7 109
Kaede Shiohara 209 1.7× 84 2.0× 22 2.4× 3 0.6× 5 1.0× 7 231
Alexandre Sablayrolles 76 0.6× 78 1.8× 17 1.9× 11 2.2× 1 0.2× 6 144

Countries citing papers authored by Riccardo Corvi

Since Specialization
Citations

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

Fields of papers citing papers by Riccardo Corvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Corvi

This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Corvi. A scholar is included among the top collaborators of Riccardo Corvi 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 Riccardo Corvi. Riccardo Corvi 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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