Giorgio Giacinto
- Signal Processing top 0.2%
- Advanced Malware Detection Techniques 44
- Computer Networks and Communications top 0.5%
- Network Security and Intrusion Detection 42
- Software top 2%
- Artificial Intelligence top 0.5%
- Internet Traffic Analysis and Secure E-voting 14
- Anomaly Detection Techniques and Applications 13
- Neural Networks and Applications 10
- Information Systems top 0.5%
- Spam and Phishing Detection 14
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- Image Retrieval and Classification Techniques 24
- Advanced Image and Video Retrieval Techniques 24
Giorgio Giacinto
105 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 131
- Signal Processing 1.7k
- Computer Networks and Communications 1.8k
- Software 258
- Artificial Intelligence 2.1k
- Information Systems 940
Countries citing papers authored by Giorgio Giacinto
This map shows the geographic impact of Giorgio Giacinto'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 Giacinto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgio Giacinto more than expected).
Fields of papers citing papers by Giorgio Giacinto
This network shows the impact of papers produced by Giorgio Giacinto. 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 Giacinto. The network helps show where Giorgio Giacinto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giorgio Giacinto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2021 | 21 | |
| 8 | 2020 | 11 | |
| 9 | 2019 | 21 | |
| 10 | R-PackDroid: Practical On-Device Detection of Android Ransomware. | 2018 | 2 |
| 11 | Towards Robust Detection of Adversarial Infection Vectors: Lessons Learned in PDF Malware. | 2018 | 1 |
| 12 | 2015 | 115 | |
| 13 | Machine Learning in Security Applications | 2015 | 2 |
| 14 | SuStorID: A multiple classifier system for the protection of web services | 2012 | 7 |
| 15 | The PRA and AmILAB at ImageCLEF 2012 Photo Flickr Annotation Task | 2012 | 1 |
| 16 | Moving targets: when data classes depend on subjective judgement, or they are crafted by an adversary to mislead pattern analysis algorithms - the cases of content based image retrieval and adversarial classification | 2010 | 1 |
| 17 | 2007 | 16 | |
| 18 | Instance-Based Relevance Feedback for Image Retrieval | 2004 | 28 |
| 19 | Ensemble learning for Intrusion Detection in Computer Networks | 2002 | 24 |
| 20 | 2000 | 20 |
About Giorgio Giacinto
Giorgio Giacinto is a scholar working on Signal Processing, Software and Computer Networks and Communications, having authored 110 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (44 papers), Network Security and Intrusion Detection (42 papers), Image Retrieval and Classification Techniques (24 papers), Advanced Image and Video Retrieval Techniques (24 papers), Spam and Phishing Detection (14 papers), Internet Traffic Analysis and Secure E-voting (14 papers), Anomaly Detection Techniques and Applications (13 papers) and Neural Networks and Applications (10 papers). The work is most often cited by research in Signal Processing (1.7k citations), Computer Networks and Communications (1.8k citations) and Software (258 citations). Giorgio Giacinto has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Fabio Roli, Igino Corona, Davide Ariu, Davide Maiorca, Roberto Perdisci, Mansour Ahmadi, Luca Piras, Luca Didaci, Giorgio Fumera and Battista Biggio. Their work appears in journals such as European Journal of Operational Research, ACM Computing Surveys and Pattern Recognition.
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.