Riccardo Satta
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- Video Surveillance and Tracking Methods 7
- Advanced Steganography and Watermarking Techniques 6
- Human Pose and Action Recognition 6
- Face recognition and analysis 6
- Digital Media Forensic Detection 6
- Signal Processing top 10%
- Biometric Identification and Security 4
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- Gait Recognition and Analysis 5
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- User Authentication and Security Systems 2
- Co-authors
- Fabio RoliGiorgio FumeraJavier GalballyChang‐Tsun LiDavid M. J. TaxGianmarco BaldiniLaurent BeslayIgnacio Sanchez
- Journals
- IEEE Transactions on Circuits and Systems for Video Technology (1 paper)Pattern Recognition Letters (1 paper)IET Computer Vision (2 papers)
- Partner nations
- ItalyNetherlandsUnited Kingdom
In The Last Decade
Riccardo Satta
23 papers receiving 304 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 252
- Signal Processing 53
- Health Informatics 4
- Biomedical Engineering 100
- Human-Computer Interaction 12
Countries citing papers authored by Riccardo Satta
This map shows the geographic impact of Riccardo Satta'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 Satta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo Satta more than expected).
Fields of papers citing papers by Riccardo Satta
This network shows the impact of papers produced by Riccardo Satta. 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 Satta. The network helps show where Riccardo Satta may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Riccardo Satta, 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 | 2019 | 17 | |
| 2 | Example and Feature importance-based Explanations for Black-box Machine Learning Models | 2018 | 5 |
| 3 | 2016 | 2 | |
| 4 | 2015 | 8 | |
| 5 | 2015 | 67 | |
| 6 | 2015 | 37 | |
| 7 | 2015 | 4 | |
| 8 | Multi-modal Person Re-Identification Using RGB-D Cameras | 2015 | 8 |
| 9 | 2014 | 3 | |
| 10 | 2014 | 7 | |
| 11 | 2014 | 5 | |
| 12 | 2014 | 22 | |
| 13 | 2013 | 26 | |
| 14 | 2013 | 39 | |
| 15 | 2013 | 3 | |
| 16 | 2012 | 2 | |
| 17 | 2012 | 28 | |
| 18 | 2012 | 18 | |
| 19 | 2011 | 10 | |
| 20 | EVADING SPAMASSASSIN WITH OBFUSCATED TEXT IMAGES | 2007 | 1 |
About Riccardo Satta
Riccardo Satta is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 23 papers that have together received 322 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Advanced Steganography and Watermarking Techniques (6 papers), Human Pose and Action Recognition (6 papers), Face recognition and analysis (6 papers), Digital Media Forensic Detection (6 papers), Gait Recognition and Analysis (5 papers), Biometric Identification and Security (4 papers) and User Authentication and Security Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (252 citations), Signal Processing (53 citations) and Health Informatics (4 citations). Riccardo Satta has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include Fabio Roli, Giorgio Fumera, Javier Galbally, Chang‐Tsun Li, David M. J. Tax, Gianmarco Baldini, Laurent Beslay, Ignacio Sanchez, Igor Nai Fovino and Gary Steri. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition Letters and IET Computer Vision.
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.