Marco Fontani

1.3k total citations
30 papers, 836 citations indexed

About

Marco Fontani is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Law. According to data from OpenAlex, Marco Fontani has authored 30 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 5 papers in Law. Recurrent topics in Marco Fontani's work include Digital Media Forensic Detection (23 papers), Advanced Steganography and Watermarking Techniques (20 papers) and Generative Adversarial Networks and Image Synthesis (7 papers). Marco Fontani is often cited by papers focused on Digital Media Forensic Detection (23 papers), Advanced Steganography and Watermarking Techniques (20 papers) and Generative Adversarial Networks and Image Synthesis (7 papers). Marco Fontani collaborates with scholars based in Italy, Spain and United States. Marco Fontani's co-authors include Alessandro Piva, Mauro Barni, Massimo Iuliani, Tiziano Bianchi, Dasara Shullani, Alessia De Rosa, Benedetta Tondi, A Gironi, Pedro Comesaña and Fernando Pérez‐González and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Marco Fontani

30 papers receiving 796 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Fontani Italy 15 772 138 116 114 75 30 836
Thomas Gloe Germany 10 876 1.1× 172 1.2× 265 2.3× 77 0.7× 47 0.6× 13 914
Vijay H. Mankar India 11 790 1.0× 77 0.6× 202 1.7× 71 0.6× 40 0.5× 26 814
Paweł Korus Poland 11 508 0.7× 50 0.4× 125 1.1× 86 0.8× 84 1.1× 26 584
Xunyu Pan United States 7 691 0.9× 97 0.7× 333 2.9× 42 0.4× 52 0.7× 10 711
Babak Mahdian Czechia 12 1.3k 1.6× 247 1.8× 588 5.1× 90 0.8× 33 0.4× 21 1.3k
Dalton Meitei Thounaojam India 14 443 0.6× 20 0.1× 87 0.8× 57 0.5× 168 2.2× 42 529
Mehdi Boroumand United States 8 916 1.2× 12 0.1× 56 0.5× 156 1.4× 30 0.4× 16 958
Yu-Feng Hsu Taiwan 9 475 0.6× 85 0.6× 182 1.6× 44 0.4× 6 0.1× 16 518
Nishchol Mishra India 10 146 0.2× 11 0.1× 44 0.4× 98 0.9× 30 0.4× 38 317
Hongmei Liu China 15 412 0.5× 7 0.1× 66 0.6× 43 0.4× 96 1.3× 49 551

Countries citing papers authored by Marco Fontani

Since Specialization
Citations

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

Fields of papers citing papers by Marco Fontani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Fontani

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

All Works

20 of 20 papers shown
1.
Argenti, Fabrizio, et al.. (2024). A Proposed Workflow for the Restoration of Image Artifacts in Forensic Applications. IEEE Access. 12. 88303–88321. 1 indexed citations
2.
Guarnera, Luca, Oliver Giudice, Alessandro Ortis, et al.. (2022). The Face Deepfake Detection Challenge. Journal of Imaging. 8(10). 263–263. 34 indexed citations
3.
Iuliani, Massimo, Marco Fontani, & Alessandro Piva. (2021). A Leak in PRNU Based Source Identification—Questioning Fingerprint Uniqueness. IEEE Access. 9. 52455–52463. 26 indexed citations
4.
Guarnieri, Gabriele, et al.. (2020). Perspective registration and multi-frame super-resolution of license plates in surveillance videos. Forensic Science International Digital Investigation. 36. 301087–301087. 12 indexed citations
5.
Iuliani, Massimo, Marco Fontani, Dasara Shullani, & Alessandro Piva. (2019). Hybrid reference-based Video Source Identification. Sensors. 19(3). 649–649. 40 indexed citations
6.
Fontani, Marco, et al.. (2019). Video Integrity Verification and GOP Size Estimation Via Generalized Variation of Prediction Footprint. IEEE Transactions on Information Forensics and Security. 15. 1815–1830. 25 indexed citations
7.
Iuliani, Massimo, et al.. (2018). A Video Forensic Framework for the Unsupervised Analysis of MP4-Like File Container. IEEE Transactions on Information Forensics and Security. 14(3). 635–645. 31 indexed citations
8.
Rosa, Alessia De, et al.. (2015). Second-Order Statistics Analysis to Cope With Contrast Enhancement Counter-Forensics. IEEE Signal Processing Letters. 22(8). 1132–1136. 46 indexed citations
9.
Ferrara, Pasquale, Marco Fontani, Tiziano Bianchi, et al.. (2015). Unsupervised fusion for forgery localization exploiting background information. Florence Research (University of Florence). 8157. 1–6. 12 indexed citations
10.
Gironi, A, Marco Fontani, Tiziano Bianchi, Alessandro Piva, & Mauro Barni. (2014). A video forensic technique for detecting frame deletion and insertion. Florence Research (University of Florence). 6226–6230. 80 indexed citations
11.
Rosa, Alessia De, Alessandro Piva, Marco Fontani, & Massimo Iuliani. (2014). Investigating multimedia contents. Florence Research (University of Florence). 135. 1–6. 5 indexed citations
12.
Bianchi, Tiziano, et al.. (2013). Detection and classification of double compressed MP3 audio tracks. Florence Research (University of Florence). 159–164. 17 indexed citations
13.
Fontani, Marco, et al.. (2013). The watchful forensic analyst: Multi-clue information fusion with background knowledge. Use Siena air (University of Siena). 120–125. 5 indexed citations
14.
Bianchi, Tiziano, et al.. (2013). Localization of forgeries in MPEG-2 video through GOP size and DQ analysis. Florence Research (University of Florence). 494–499. 19 indexed citations
15.
Fontani, Marco, Tiziano Bianchi, Alessia De Rosa, Alessandro Piva, & Mauro Barni. (2013). A Framework for Decision Fusion in Image Forensics Based on Dempster–Shafer Theory of Evidence. IEEE Transactions on Information Forensics and Security. 8(4). 593–607. 83 indexed citations
16.
Barni, Mauro, Marco Fontani, & Benedetta Tondi. (2013). A Universal Attack Against Histogram-Based Image Forensics. International Journal of Digital Crime and Forensics. 5(3). 35–52. 14 indexed citations
17.
Fontani, Marco & Mauro Barni. (2012). Hiding traces of median filtering in digital images. European Signal Processing Conference. 1239–1243. 24 indexed citations
18.
Barni, Mauro, Marco Fontani, & Benedetta Tondi. (2012). A universal technique to hide traces of histogram-based image manipulations. Use Siena air (University of Siena). 97–104. 47 indexed citations
19.
Fontani, Marco, Tiziano Bianchi, Alessia De Rosa, Alessandro Piva, & Mauro Barni. (2011). A Dempster-Shafer framework for decision fusion in image forensics. Florence Research (University of Florence). 1–6. 19 indexed citations
20.
Fontani, Marco, et al.. (2010). Reversible watermarking for image integrity verification in hierarchical PACS. 3. 161–168. 11 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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