Davide Cavagnino
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Computer Networks and Communications
- Information Systems
- Signal Processing
- Co-authors
- Marco BottaVictor PomponiuFrancesco BergadanoBruno CrispoRoberto EspositoA. WerbrouckMarco GrangettoMaurizio Lucenteforte
- Topics
- Advanced Steganography and Watermarking Techniques (18 papers)Chaos-based Image/Signal Encryption (14 papers)Digital Media Forensic Detection (10 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignComputer Networks and Communications
- Partner nations
- ItalySingaporeUnited States
In The Last Decade
Davide Cavagnino
31 papers receiving 240 citations
Peers
Comparison fields: 5 of 37
- Computer Vision and Pattern Recognition 178
- Artificial Intelligence 54
- Computer Networks and Communications 45
- Information Systems 26
- Signal Processing 20
Countries citing papers authored by Davide Cavagnino
This map shows the geographic impact of Davide Cavagnino'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 Davide Cavagnino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Cavagnino more than expected).
Fields of papers citing papers by Davide Cavagnino
This network shows the impact of papers produced by Davide Cavagnino. 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 Davide Cavagnino. The network helps show where Davide Cavagnino may publish in the future.
Co-authorship network of co-authors of Davide Cavagnino
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Cavagnino. A scholar is included among the top collaborators of Davide Cavagnino 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 Davide Cavagnino. Davide Cavagnino 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 29 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 25 | |
| 12 | 13 | |
| 13 | 18 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 25 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | Data Compression for the ALICE Silicon Drift Detector. | 1 |
About Davide Cavagnino
Davide Cavagnino is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 36 papers that have together received 249 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (18 papers), Chaos-based Image/Signal Encryption (14 papers) and Digital Media Forensic Detection (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (178 citations), Computer Graphics and Computer-Aided Design (7 citations) and Computer Networks and Communications (45 citations). Davide Cavagnino has collaborated with scholars based in Italy, Singapore and United States. Frequent co-authors include Marco Botta, Victor Pomponiu, Francesco Bergadano, Bruno Crispo, Roberto Esposito, A. Werbrouck, Marco Grangetto, Maurizio Lucenteforte, Pietro Piazzolla and Marco Gribaudo. Their work appears in journals such as Information Sciences, Nuclear Physics A and 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.