Marco Grangetto
- Computer Vision and Pattern Recognition top 1%
- Computer Networks and Communications top 2%
- Signal Processing top 1%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Co-authors
- Gabriella OlmoEnrico MagliRossano GaetaMaurizio LucenteforteTammam TilloMuhammad Shahid FaridMatteo SerenoEnzo Tartaglione
- Topics
- Advanced Data Compression Techniques (52 papers)Video Coding and Compression Technologies (32 papers)Caching and Content Delivery (25 papers)
In The Last Decade
Marco Grangetto
141 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 1.1k
- Computer Networks and Communications 672
- Signal Processing 533
- Electrical and Electronic Engineering 463
- Artificial Intelligence 398
Countries citing papers authored by Marco Grangetto
This map shows the geographic impact of Marco Grangetto'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 Marco Grangetto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Grangetto more than expected).
Fields of papers citing papers by Marco Grangetto
This network shows the impact of papers produced by Marco Grangetto. 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 Marco Grangetto. The network helps show where Marco Grangetto may publish in the future.
Co-authorship network of co-authors of Marco Grangetto
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Grangetto. A scholar is included among the top collaborators of Marco Grangetto 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 Marco Grangetto. Marco Grangetto 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 | 8 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 17 | |
| 8 | 2 | |
| 9 | 20 | |
| 10 | 15 | |
| 11 | 24 | |
| 12 | 1 | |
| 13 | 53 | |
| 14 | 71 | |
| 15 | 20 | |
| 16 | 37 | |
| 17 | 34 | |
| 18 | 13 | |
| 19 | 8 | |
| 20 | 56 |
About Marco Grangetto
Marco Grangetto is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 154 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (52 papers), Video Coding and Compression Technologies (32 papers) and Caching and Content Delivery (25 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Signal Processing (533 citations) and Health Informatics (46 citations). Marco Grangetto has collaborated with scholars based in Italy, France and Pakistan. Frequent co-authors include Gabriella Olmo, Enrico Magli, Rossano Gaeta, Maurizio Lucenteforte, Tammam Tillo, Muhammad Shahid Farid, Matteo Sereno, Enzo Tartaglione, Pasquale Cataldi and Marco Calandri. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and Sensors.
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.