Francesco Marra

1.3k total citations
12 papers, 713 citations indexed

About

Francesco Marra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Francesco Marra has authored 12 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Francesco Marra's work include Digital Media Forensic Detection (11 papers), Advanced Steganography and Watermarking Techniques (4 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). Francesco Marra is often cited by papers focused on Digital Media Forensic Detection (11 papers), Advanced Steganography and Watermarking Techniques (4 papers) and Generative Adversarial Networks and Image Synthesis (4 papers). Francesco Marra collaborates with scholars based in Italy. Francesco Marra's co-authors include Luisa Verdoliva, Diego Gragnaniello, Giovanni Poggi, Davide Cozzolino, Carlo Sansone, Cristiano Saltori, Giulia Boato and Fabio Roli and has published in prestigious journals such as Pattern Recognition Letters, IEEE Transactions on Information Forensics and Security and Multimedia Tools and Applications.

In The Last Decade

Francesco Marra

12 papers receiving 684 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Francesco Marra Italy	10	623	189	77	51	48	12	713
Valentina Conotter Italy	12	654 1.0×	73 0.4×	67 0.9×	52 1.0×	130 2.7×	30	712
Rudy Becarelli Italy	7	284 0.5×	75 0.4×	52 0.7×	34 0.7×	31 0.6×	15	354
Markos Zampoglou Greece	8	280 0.4×	121 0.6×	73 0.9×	143 2.8×	53 1.1×	21	468
Dalton Meitei Thounaojam India	14	443 0.7×	57 0.3×	168 2.2×	67 1.3×	87 1.8×	42	529
Vijay H. Mankar India	11	790 1.3×	71 0.4×	40 0.5×	41 0.8×	202 4.2×	26	814
Peipeng Yu China	11	322 0.5×	161 0.9×	85 1.1×	46 0.9×	13 0.3×	18	451
Osamah M. Al-Qershi Malaysia	12	540 0.9×	24 0.1×	37 0.5×	29 0.6×	110 2.3×	19	579
Christian Kraetzer Germany	12	473 0.8×	111 0.6×	355 4.6×	51 1.0×	11 0.2×	51	565
Babak Mahdian Czechia	12	1.3k 2.0×	90 0.5×	33 0.4×	62 1.2×	588 12.3×	21	1.3k
Ayush Agarwal India	8	78 0.1×	195 1.0×	51 0.7×	33 0.6×	10 0.2×	29	267

Countries citing papers authored by Francesco Marra

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Marra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Marra

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Marra. A scholar is included among the top collaborators of Francesco Marra 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 Francesco Marra. Francesco Marra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Marra, Francesco, Cristiano Saltori, & Giulia Boato. (2019). Incremental learning for the detection and classification of GAN-generated images. Iris (University of Trento). 80 indexed citations

Marra, Francesco, Diego Gragnaniello, Luisa Verdoliva, & Giovanni Poggi. (2019). Do GANs Leave Artificial Fingerprints?. 506–511. 184 indexed citations

Gragnaniello, Diego, Francesco Marra, Giovanni Poggi, & Luisa Verdoliva. (2018). Analysis of Adversarial Attacks against CNN-based Image Forgery Detectors. 967–971. 19 indexed citations

Marra, Francesco, Diego Gragnaniello, Davide Cozzolino, & Luisa Verdoliva. (2018). Detection of GAN-Generated Fake Images over Social Networks. 384–389. 225 indexed citations

Marra, Francesco, Diego Gragnaniello, & Luisa Verdoliva. (2018). On the vulnerability of deep learning to adversarial attacks for camera model identification. Signal Processing Image Communication. 65. 240–248. 29 indexed citations

Marra, Francesco, Giovanni Poggi, Carlo Sansone, & Luisa Verdoliva. (2017). Blind PRNU-Based Image Clustering for Source Identification. IEEE Transactions on Information Forensics and Security. 12(9). 2197–2211. 60 indexed citations

Marra, Francesco, Giovanni Poggi, Carlo Sansone, & Luisa Verdoliva. (2017). A deep learning approach for iris sensor model identification. Pattern Recognition Letters. 113. 46–53. 45 indexed citations

Marra, Francesco, Giovanni Poggi, Carlo Sansone, & Luisa Verdoliva. (2016). A study of co-occurrence based local features for camera model identification. Multimedia Tools and Applications. 76(4). 4765–4781. 32 indexed citations

Marra, Francesco, Giovanni Poggi, Carlo Sansone, & Luisa Verdoliva. (2016). Correlation clustering for PRNU-based blind image source identification. 1–6. 16 indexed citations

10.

Marra, Francesco, Giovanni Poggi, Fabio Roli, Carlo Sansone, & Luisa Verdoliva. (2015). Counter-forensics in machine learning based forgery detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9409. 94090L–94090L. 15 indexed citations

11.

Marra, Francesco, Fabio Roli, Davide Cozzolino, Carlo Sansone, & Luisa Verdoliva. (2014). Attacking the triangle test in sensor-based camera identification. UNICA IRIS Institutional Research Information System (University of Cagliari). 5685. 5307–5311. 6 indexed citations

12.

Marra, Francesco. (2012). Multi-Physics Modeling as a Design Tool: Advances and Prospects. 024-02–024-02. 2 indexed citations

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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