Riccardo Satta
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Signal Processing top 10%
- Information Systems top 10%
- Artificial Intelligence
- Co-authors
- Fabio RoliGiorgio FumeraJavier GalballyChang‐Tsun LiDavid M. J. TaxGianmarco BaldiniLaurent BeslayIgnacio Sanchez
- Topics
- Video Surveillance and Tracking Methods (7 papers)Advanced Steganography and Watermarking Techniques (6 papers)Human Pose and Action Recognition (6 papers)
- Journals
- IEEE Transactions on Circuits and Systems for Video TechnologyPattern Recognition LettersIET Computer Vision
- 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
- Biomedical Engineering 100
- Signal Processing 53
- Information Systems 45
- Artificial Intelligence 41
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 of co-authors of Riccardo Satta
This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Satta. A scholar is included among the top collaborators of Riccardo Satta 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 Riccardo Satta. Riccardo Satta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | Example and Feature importance-based Explanations for Black-box Machine Learning Models | 5 |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 67 | |
| 6 | 37 | |
| 7 | 4 | |
| 8 | Multi-modal Person Re-Identification Using RGB-D Cameras | 8 |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 22 | |
| 13 | 26 | |
| 14 | 39 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 28 | |
| 18 | 18 | |
| 19 | 10 | |
| 20 | EVADING SPAMASSASSIN WITH OBFUSCATED TEXT IMAGES | 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) and Human Pose and Action Recognition (6 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.