G. Calvagno
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 1%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Daniele MenonSimone MilaniR. RinaldoG.A. MianFlavio SartorettoMario ErmaniDavid C. MunsonG.M. Cortelazzo
- Topics
- Advanced Data Compression Techniques (36 papers)Image and Signal Denoising Methods (31 papers)Video Coding and Compression Technologies (28 papers)
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Signal ProcessingIEEE Journal on Selected Areas in Communications
- Partner nations
- ItalySwitzerlandFinland
In The Last Decade
G. Calvagno
71 papers receiving 808 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 724
- Media Technology 272
- Signal Processing 226
- Electrical and Electronic Engineering 69
- Artificial Intelligence 53
Countries citing papers authored by G. Calvagno
This map shows the geographic impact of G. Calvagno'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 G. Calvagno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Calvagno more than expected).
Fields of papers citing papers by G. Calvagno
This network shows the impact of papers produced by G. Calvagno. 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 G. Calvagno. The network helps show where G. Calvagno may publish in the future.
Co-authorship network of co-authors of G. Calvagno
This figure shows the co-authorship network connecting the top 25 collaborators of G. Calvagno. A scholar is included among the top collaborators of G. Calvagno 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 G. Calvagno. G. Calvagno 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 | P2P scalable video streaming using data priority and FEC-based noncooperative multiple description | 2 |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 1 | |
| 6 | 3D video coding via motion compensation of superpixels | 1 |
| 7 | Multiple description Peer-to-Peer video streaming using coalitional games | 1 |
| 8 | 138 | |
| 9 | A Distributed Video Coding approach for Multiple Description video transmission over lossy channels | 3 |
| 10 | Joint demosaicking and denoising with space-varying filters | 6 |
| 11 | 11 | |
| 12 | 6 | |
| 13 | A novel technique for reducing demosaicing artifacts | 2 |
| 14 | 143 | |
| 15 | 17 | |
| 16 | 65 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 65 | |
| 20 | 1 |
About G. Calvagno
G. Calvagno is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 79 papers that have together received 861 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (36 papers), Image and Signal Denoising Methods (31 papers) and Video Coding and Compression Technologies (28 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (724 citations), Media Technology (272 citations) and Signal Processing (226 citations). G. Calvagno has collaborated with scholars based in Italy, Switzerland and Finland. Frequent co-authors include Daniele Menon, Simone Milani, R. Rinaldo, G.A. Mian, Flavio Sartoretto, Mario Ermani, David C. Munson, G.M. Cortelazzo, Riccardo Bernardini and Pamela Zontone. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and IEEE Journal on Selected Areas in Communications.
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.