Raffaele Pizzolante
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Signal Processing
- Co-authors
- Bruno CarpentieriArcangelo CastiglioneAlfredo De SantisFrancesco PalmieriAniello CastiglioneBarbara MasucciChristian EspositoVincenzo Loia
- Topics
- Advanced Steganography and Watermarking Techniques (16 papers)Advanced Data Compression Techniques (12 papers)Chaos-based Image/Signal Encryption (9 papers)
- Partner nations
- ItalyChinaSouth Korea
In The Last Decade
Raffaele Pizzolante
32 papers receiving 414 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 296
- Artificial Intelligence 130
- Information Systems 87
- Computer Networks and Communications 57
- Signal Processing 35
Countries citing papers authored by Raffaele Pizzolante
This map shows the geographic impact of Raffaele Pizzolante'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 Raffaele Pizzolante with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raffaele Pizzolante more than expected).
Fields of papers citing papers by Raffaele Pizzolante
This network shows the impact of papers produced by Raffaele Pizzolante. 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 Raffaele Pizzolante. The network helps show where Raffaele Pizzolante may publish in the future.
Co-authorship network of co-authors of Raffaele Pizzolante
This figure shows the co-authorship network connecting the top 25 collaborators of Raffaele Pizzolante. A scholar is included among the top collaborators of Raffaele Pizzolante 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 Raffaele Pizzolante. Raffaele Pizzolante is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 5 | |
| 4 | 38 | |
| 5 | 21 | |
| 6 | Copyright Protection for Digital Images on Portable Devices | 2 |
| 7 | 16 | |
| 8 | 6 | |
| 9 | A Lossless Invisible Watermarking Scheme for Hyperspectral Images | 0 |
| 10 | 19 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | Lossless Compression of Multidimensional Medical Images | 1 |
| 14 | 6 | |
| 15 | Band Clustering for the Lossless Compression of AVIRIS Hyperspectral Images | 3 |
| 16 | 87 | |
| 17 | 1 | |
| 18 | 12 | |
| 19 | 19 | |
| 20 | 16 |
About Raffaele Pizzolante
Raffaele Pizzolante is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems, having authored 35 papers that have together received 432 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (16 papers), Advanced Data Compression Techniques (12 papers) and Chaos-based Image/Signal Encryption (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (296 citations), Artificial Intelligence (130 citations) and Information Systems (87 citations). Raffaele Pizzolante has collaborated with scholars based in Italy, China and South Korea. Frequent co-authors include Bruno Carpentieri, Arcangelo Castiglione, Alfredo De Santis, Francesco Palmieri, Aniello Castiglione, Barbara Masucci, Christian Esposito, Vincenzo Loia, Kangbin Yim and Ilsun You. Their work appears in journals such as Information Sciences, Future Generation Computer Systems and Computers & Security.
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.