Riccardo Lazzeretti
- Signal Processing top 2%
- Biometric Identification and Security 6
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- Advanced Steganography and Watermarking Techniques 5
- Information Systems top 2%
- User Authentication and Security Systems 6
- Artificial Intelligence top 5%
- Cryptography and Data Security 14
- Internet Traffic Analysis and Secure E-voting 5
- Privacy-Preserving Technologies in Data 5
- Cryptographic Implementations and Security 4
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- Caching and Content Delivery 5
- Co-authors
- Mauro BarniMauro ContiPierluigi FaillaAhmad‐Reza SadeghiThomas SchneiderMoreno AmbrosinAhmet ArışAbdeslam El Fergougui
- Journals
- Nature (1 paper)IEEE Communications Surveys & Tutorials (2 papers)IEEE Signal Processing Magazine (2 papers)
- Partner nations
- ItalyUnited StatesMorocco
In The Last Decade
Riccardo Lazzeretti
36 papers receiving 765 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Signal Processing 274
- Computer Vision and Pattern Recognition 286
- Information Systems 275
- Artificial Intelligence 374
- Computer Networks and Communications 187
Countries citing papers authored by Riccardo Lazzeretti
This map shows the geographic impact of Riccardo Lazzeretti'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 Lazzeretti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo Lazzeretti more than expected).
Fields of papers citing papers by Riccardo Lazzeretti
This network shows the impact of papers produced by Riccardo Lazzeretti. 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 Lazzeretti. The network helps show where Riccardo Lazzeretti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Riccardo Lazzeretti, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 7 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 5 | |
| 9 | A survey on security and privacy issues of UAVsbreakdown → | 2023 | 108 |
| 10 | 2022 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2018 | 30 | |
| 13 | 2014 | 24 | |
| 14 | 2013 | 15 | |
| 15 | 2011 | 16 | |
| 16 | 2011 | 112 | |
| 17 | 2010 | 105 | |
| 18 | 2009 | 1 | |
| 19 | 2009 | 16 | |
| 20 | Lossless compression of encrypted grey-level and color images | 2008 | 38 |
About Riccardo Lazzeretti
Riccardo Lazzeretti is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 39 papers that have together received 790 indexed citations. Recurring topics across this work include Cryptography and Data Security (14 papers), Biometric Identification and Security (6 papers), User Authentication and Security Systems (6 papers), Caching and Content Delivery (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Advanced Steganography and Watermarking Techniques (5 papers), Privacy-Preserving Technologies in Data (5 papers) and Cryptographic Implementations and Security (4 papers). The work is most often cited by research in Signal Processing (274 citations), Computer Vision and Pattern Recognition (286 citations) and Information Systems (275 citations). Riccardo Lazzeretti has collaborated with scholars based in Italy, United States and Morocco. Frequent co-authors include Mauro Barni, Mauro Conti, Pierluigi Failla, Ahmad‐Reza Sadeghi, Thomas Schneider, Moreno Ambrosin, Ahmet Arış, Abdeslam El Fergougui, A. Selcuk Uluagac and Silvio Ranise. Their work appears in journals such as Nature, IEEE Communications Surveys & Tutorials and IEEE Signal Processing Magazine.
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.