Alessandro Piva
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 1%
- Media Technology top 0.2%
- Signal Processing top 1%
- Information Systems top 1%
- Co-authors
- Mauro BarniTiziano BianchiF. BartoliniAlessia De RosaV. CappelliniMarco FontaniPasquale FerraraMassimo Iuliani
- Topics
- Advanced Steganography and Watermarking Techniques (121 papers)Digital Media Forensic Detection (87 papers)Chaos-based Image/Signal Encryption (49 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Image ProcessingIEEE Transactions on Signal Processing
In The Last Decade
Alessandro Piva
163 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Computer Vision and Pattern Recognition 5.7k
- Artificial Intelligence 996
- Media Technology 877
- Signal Processing 594
- Information Systems 545
Countries citing papers authored by Alessandro Piva
This map shows the geographic impact of Alessandro Piva'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 Alessandro Piva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Piva more than expected).
Fields of papers citing papers by Alessandro Piva
This network shows the impact of papers produced by Alessandro Piva. 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 Alessandro Piva. The network helps show where Alessandro Piva may publish in the future.
Co-authorship network of co-authors of Alessandro Piva
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Piva. A scholar is included among the top collaborators of Alessandro Piva 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 Alessandro Piva. Alessandro Piva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 13 | |
| 8 | 8 | |
| 9 | 24 | |
| 10 | 40 | |
| 11 | 25 | |
| 12 | 31 | |
| 13 | 13 | |
| 14 | A Blind Video Watermarking Algorithm for Copyright Protection based on Dual Tree Complex Wavelet Transform. | 1 |
| 15 | 80 | |
| 16 | 135 | |
| 17 | Detection of resampled images: Performance analysis and practical challenges | 3 |
| 18 | Comparison of different FFT implementations in the encrypted domain | 4 |
| 19 | Multispectral UV fluorescence analysis of painted surfaces | 15 |
| 20 | IEEE Internet Computing: Issue Addendum - Managing Copyright: Watermark and Cryptography Algorithms. | 1 |
About Alessandro Piva
Alessandro Piva is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Law, having authored 174 papers that have together received 6.4k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (121 papers), Digital Media Forensic Detection (87 papers) and Chaos-based Image/Signal Encryption (49 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.7k citations), Media Technology (877 citations) and Signal Processing (594 citations). Alessandro Piva has collaborated with scholars based in Italy, China and Spain. Frequent co-authors include Mauro Barni, Tiziano Bianchi, F. Bartolini, Alessia De Rosa, V. Cappellini, Marco Fontani, Pasquale Ferrara, Massimo Iuliani, Dasara Shullani and Claudio Orlandi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.
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.