Giuseppe Masi
- Media Technology top 0.2%
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering
- Ecology
- Aerospace Engineering
- Co-authors
- Giuseppe ScarpaLuisa VerdolivaDavide CozzolinoGiovanni PoggiRaffaele GaetanoGiuseppe RuelloDonato AmitranoCesario Vincenzo Angelino
- Topics
- Remote-Sensing Image Classification (6 papers)Advanced Image Fusion Techniques (3 papers)Medical Image Segmentation Techniques (3 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingInternational Journal of Remote SensingRemote Sensing
- Partner nations
- ItalyUnited StatesPakistan
In The Last Decade
Giuseppe Masi
11 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Media Technology 917
- Computer Vision and Pattern Recognition 739
- Biomedical Engineering 108
- Ecology 82
- Aerospace Engineering 62
Countries citing papers authored by Giuseppe Masi
This map shows the geographic impact of Giuseppe Masi'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 Giuseppe Masi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Masi more than expected).
Fields of papers citing papers by Giuseppe Masi
This network shows the impact of papers produced by Giuseppe Masi. 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 Giuseppe Masi. The network helps show where Giuseppe Masi may publish in the future.
Co-authorship network of co-authors of Giuseppe Masi
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Masi. A scholar is included among the top collaborators of Giuseppe Masi 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 Giuseppe Masi. Giuseppe Masi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 25 | |
| 5 | Pansharpening by Convolutional Neural Networksbreakdown → | 846 |
| 6 | 49 | |
| 7 | 2 | |
| 8 | 19 | |
| 9 | 97 | |
| 10 | 21 | |
| 11 | 12 | |
| 12 | 1 |
About Giuseppe Masi
Giuseppe Masi is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Signal Processing, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (6 papers), Advanced Image Fusion Techniques (3 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Media Technology (917 citations), Computer Vision and Pattern Recognition (739 citations) and Acoustics and Ultrasonics (5 citations). Giuseppe Masi has collaborated with scholars based in Italy, United States and Pakistan. Frequent co-authors include Giuseppe Scarpa, Luisa Verdoliva, Davide Cozzolino, Giovanni Poggi, Raffaele Gaetano, Giuseppe Ruello, Donato Amitrano, Cesario Vincenzo Angelino, Massimiliano Lega and Andrea Vallario. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Remote Sensing and Remote Sensing.
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.