Massimo Zanetti
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Atmospheric Science top 10%
- Remote Sensing and Land Use
Papers in
-
- Remote-Sensing Image Classification 10
- Ecology 8
- Remote Sensing in Agriculture 8
- Co-authors
- Lorenzo Bruzzone (12 shared papers)Francesca Bovolo (9 shared papers)Sicong Liu (1 shared paper)Peijun Du (1 shared paper)Valeria Ruggiero (4 shared papers)Daniele Marinelli (3 shared papers)Alfonso Vitti (2 shared papers)Michele Miranda (1 shared paper)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (4 papers)IEEE Transactions on Image Processing (2 papers)IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (1 paper)Communications in Nonlinear Science and Numerical Simulation (1 paper)Applied Mathematics and Computation (1 paper)
In The Last Decade
Massimo Zanetti
20 papers receiving 392 citations
Peers
Comparison fields: 5 of 60
- Media Technology 239
- Atmospheric Science 186
- Critical Care and Intensive Care Medicine 46
- Ecology 119
- Geology 18
Countries citing papers authored by Massimo Zanetti
This map shows the geographic impact of Massimo Zanetti'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 Massimo Zanetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Zanetti more than expected).
Fields of papers citing papers by Massimo Zanetti
This network shows the impact of papers produced by Massimo Zanetti. 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 Massimo Zanetti. The network helps show where Massimo Zanetti may publish in the future.
Co-authors
The 23 scholars most cited alongside Massimo Zanetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 145 | |
| 2 | 2015 | 74 | |
| 3 | 2020 | 60 | |
| 4 | 2017 | 38 | |
| 5 | 2016 | 17 | |
| 6 | 2017 | 14 | |
| 7 | 2018 | 10 | |
| 8 | 2021 | 9 | |
| 9 | 2013 | 9 | |
| 10 | 2019 | 7 | |
| 11 | 2016 | 6 | |
| 12 | 2017 | 3 | |
| 13 | 2017 | 2 | |
| 14 | 2014 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2016 | 1 |
About Massimo Zanetti
Massimo Zanetti is a scholar working on Media Technology, Ecology, Computer Vision and Pattern Recognition, Artificial Intelligence and Atmospheric Science, having authored 21 papers that have together received 402 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (10 papers), Remote Sensing in Agriculture (8 papers), Remote Sensing and Land Use (4 papers), Medical Image Segmentation Techniques (4 papers), Remote Sensing and LiDAR Applications (3 papers), Fire effects on ecosystems (3 papers), 3D Surveying and Cultural Heritage (3 papers) and Numerical methods in inverse problems (3 papers). The work is most often cited by research in Media Technology (239 citations), Atmospheric Science (186 citations), Critical Care and Intensive Care Medicine (46 citations), Ecology (119 citations) and Geology (18 citations). Massimo Zanetti has collaborated with scholars based in Italy, Germany and China. Frequent co-authors include Lorenzo Bruzzone, Francesca Bovolo, Sicong Liu, Peijun Du, Valeria Ruggiero, Daniele Marinelli, Alfonso Vitti, Michele Miranda, Gino Soldati and Libertario Demi. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Communications in Nonlinear Science and Numerical Simulation and Applied Mathematics and Computation.
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.