Giorgio Fumera

5.0k total citations · 1 hit paper
72 papers, 2.2k citations indexed

About

Giorgio Fumera is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Giorgio Fumera has authored 72 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 22 papers in Information Systems. Recurrent topics in Giorgio Fumera's work include Spam and Phishing Detection (13 papers), Video Surveillance and Tracking Methods (12 papers) and Biometric Identification and Security (11 papers). Giorgio Fumera is often cited by papers focused on Spam and Phishing Detection (13 papers), Video Surveillance and Tracking Methods (12 papers) and Biometric Identification and Security (11 papers). Giorgio Fumera collaborates with scholars based in Italy, Canada and United Kingdom. Giorgio Fumera's co-authors include Fabio Roli, Battista Biggio, Ignazio Pillai, Giorgio Giacinto, Gian Luca Marcialis, Zahid Akhtar, Riccardo Satta, Luca Didaci, Éric Granger and Paolo Russu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Access.

In The Last Decade

Giorgio Fumera

67 papers receiving 2.1k citations

Hit Papers

Security Evaluation of Pattern Classifiers under Attack 2013 2026 2017 2021 2013 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giorgio Fumera Italy 27 1.3k 744 651 520 357 72 2.2k
Emmanuel Müller Germany 24 1.9k 1.5× 450 0.6× 525 0.8× 342 0.7× 560 1.6× 80 2.3k
Ira Assent Denmark 27 1.6k 1.3× 532 0.7× 889 1.4× 370 0.7× 434 1.2× 98 2.3k
Bo Lang China 23 1.0k 0.8× 895 1.2× 481 0.7× 302 0.6× 840 2.4× 109 2.3k
Tianyi Wu China 16 1.4k 1.1× 727 1.0× 246 0.4× 753 1.4× 361 1.0× 48 2.6k
Minnan Luo China 25 1.5k 1.2× 999 1.3× 179 0.3× 390 0.8× 368 1.0× 96 2.4k
Yunhai Tong China 22 959 0.8× 709 1.0× 428 0.7× 139 0.3× 310 0.9× 72 1.9k
Xiaofei Xu China 22 1.4k 1.2× 338 0.5× 264 0.4× 309 0.6× 480 1.3× 95 2.2k
Shaoning Pang New Zealand 18 820 0.7× 520 0.7× 194 0.3× 202 0.4× 215 0.6× 73 1.7k
Zhenmin Tang China 27 872 0.7× 1.3k 1.8× 213 0.3× 226 0.4× 177 0.5× 221 2.6k

Countries citing papers authored by Giorgio Fumera

Since Specialization
Citations

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

Fields of papers citing papers by Giorgio Fumera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giorgio Fumera

This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Fumera. A scholar is included among the top collaborators of Giorgio Fumera 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 Giorgio Fumera. Giorgio Fumera 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.
Fumera, Giorgio, et al.. (2025). On the robustness of adversarial training against uncertainty attacks. Pattern Recognition. 172. 112519–112519.
2.
Maiorca, Davide, et al.. (2024). A risk estimation study of native code vulnerabilities in Android applications. UNICA IRIS Institutional Research Information System (University of Cagliari). 10(1).
3.
Fumera, Giorgio, et al.. (2023). Dropout injection at test time for post hoc uncertainty quantification in neural networks. Information Sciences. 645. 119356–119356. 11 indexed citations
4.
Putzu, Lorenzo, et al.. (2023). Human-in-the-loop cross-domain person re-identification. Expert Systems with Applications. 226. 120216–120216. 12 indexed citations
5.
Fedeli, Alessandro, Alessandro Fanti, Matteo Bruno Lodi, et al.. (2023). Microwave Medical Imaging of the Human Neck using a Neural-Networks-Based Inversion Procedure: A Phantom Study. CINECA IRIS Institutial Research Information System (University of Genoa). 1–5.
6.
Mannaro, Katiuscia, Alessandro Fanti, Matteo Bruno Lodi, et al.. (2022). A Robust SVM Color-Based Food Segmentation Algorithm for the Production Process of a Traditional Carasau Bread. IEEE Access. 10. 15359–15377. 7 indexed citations
7.
Fedeli, Alessandro, Alessandro Fanti, Matteo Bruno Lodi, et al.. (2022). Initial Experimental Tests of an ANN-Based Microwave Imaging Technique for Neck Diagnostics. IEEE Microwave and Wireless Components Letters. 32(12). 1495–1498. 10 indexed citations
8.
Fedeli, Alessandro, Alessandro Fanti, Matteo Bruno Lodi, et al.. (2021). Microwave Imaging of the Neck by Means of Artificial Neural Networks for Tumor Detection. IEEE Open Journal of Antennas and Propagation. 2. 1044–1056. 16 indexed citations
9.
Melis, Andrea, Matteo Bruno Lodi, Alessandro Fanti, et al.. (2019). A Wireless Sensors Network for Monitoring the Carasau Bread Manufacturing Process. Electronics. 8(12). 1541–1541. 37 indexed citations
10.
Melis, Marco, Ambra Demontis, Battista Biggio, et al.. (2018). Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid. UNICA IRIS Institutional Research Information System (University of Cagliari). 44 indexed citations
11.
Biggio, Battista, Giorgio Fumera, Gian Luca Marcialis, & Fabio Roli. (2016). Statistical Meta-Analysis of Presentation Attacks for Secure Multibiometric Systems. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(3). 561–575. 23 indexed citations
12.
Biggio, Battista, Giorgio Fumera, & Fabio Roli. (2012). Learning sparse kernel machines with biometric similarity functions for identity recognition. UNICA IRIS Institutional Research Information System (University of Cagliari). 4. 325–330. 1 indexed citations
13.
Xu, Junming, Giorgio Fumera, Fabio Roli, & Zhi‐Hua Zhou. (2009). Training SpamAssassin with Active Semi-supervised Learning. 11 indexed citations
14.
Fumera, Giorgio, Fabio Roli, Battista Biggio, & Ignazio Pillai. (2008). Improving Image Spam Filtering Using Image Text Features.. 11 indexed citations
15.
Fumera, Giorgio, et al.. (2008). A Theoretical Analysis of Bagging as a Linear Combination of Classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(7). 1293–1299. 40 indexed citations
16.
Biggio, Battista, Giorgio Fumera, Ignazio Pillai, & Fabio Roli. (2007). Image Spam Filtering Using Visual Information. 105–110. 32 indexed citations
17.
Roli, Fabio, et al.. (2007). Image spam filtering by detection of adversarial obfuscated text. UNICA IRIS Institutional Research Information System (University of Cagliari). 1 indexed citations
18.
Biggio, Battista, Giorgio Fumera, Ignazio Pillai, & Fabio Roli. (2007). Image Spam Filtering by Content Obscuring Detection. UNICA IRIS Institutional Research Information System (University of Cagliari). 26 indexed citations
19.
Fumera, Giorgio, Ignazio Pillai, & Fabio Roli. (2006). Spam Filtering Based On The Analysis Of Text Information Embedded Into Images. Journal of Machine Learning Research. 7(98). 2699–2720. 88 indexed citations
20.
Fumera, Giorgio & Fabio Roli. (2005). A theoretical and experimental analysis of linear combiners for multiple classifier systems. IEEE Transactions on Pattern Analysis and Machine Intelligence. 27(6). 942–956. 203 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026