Peter Caccetta
Impact in
- Media Technology top 0.5%
- Remote-Sensing Image Classification
- Environmental Engineering top 1%
- Remote Sensing and LiDAR Applications
Papers in
-
- Remote Sensing and LiDAR Applications 32
- Soil Geostatistics and Mapping 30
- Urban Heat Island Mitigation 8
- Ecology 31
- Remote Sensing in Agriculture 29
- Co-authors
- Chen Wu (1 shared paper)François Waldner (1 shared paper)Foivos I. Diakogiannis (2 shared papers)J. Wallace (10 shared papers)Eric Lehmann (11 shared papers)Suzanne Furby (11 shared papers)Xiaoliang Wu (11 shared papers)Riccardo Paolini (4 shared papers)
In The Last Decade
Peter Caccetta
71 papers receiving 2.4k citations
Peter Caccetta's Hit Papers
Peers
Comparison fields: 5 of 141
- Media Technology 526
- Environmental Engineering 729
- Computer Vision and Pattern Recognition 710
- Ecology 633
- Global and Planetary Change 407
Countries citing papers authored by Peter Caccetta
This map shows the geographic impact of Peter Caccetta'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 Peter Caccetta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Caccetta more than expected).
Fields of papers citing papers by Peter Caccetta
This network shows the impact of papers produced by Peter Caccetta. 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 Peter Caccetta. The network helps show where Peter Caccetta may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Caccetta, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data Hit paper breakdown → | 2020 | 1358 |
| 2 | 2014 | 95 | |
| 3 | 2012 | 94 | |
| 4 | 2020 | 75 | |
| 5 | 2002 | 60 | |
| 6 | 2011 | 52 | |
| 7 | 2020 | 46 | |
| 8 | 2010 | 46 | |
| 9 | 2013 | 42 | |
| 10 | 2010 | 37 | |
| 11 | 2022 | 36 | |
| 12 | 2004 | 35 | |
| 13 | 2020 | 34 | |
| 14 | 2014 | 31 | |
| 15 | 2021 | 30 | |
| 16 | 2011 | 29 | |
| 17 | 2010 | 27 | |
| 18 | 2021 | 27 | |
| 19 | 2000 | 27 | |
| 20 | The Land Monitor Project | 2000 | 24 |
About Peter Caccetta
Peter Caccetta is a scholar working on Environmental Engineering, Ecology, Artificial Intelligence, Global and Planetary Change and Aerospace Engineering, having authored 74 papers that have together received 2.5k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (32 papers), Soil Geostatistics and Mapping (30 papers), Remote Sensing in Agriculture (29 papers), Geochemistry and Geologic Mapping (10 papers), Land Use and Ecosystem Services (8 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers), Urban Heat Island Mitigation (8 papers) and Remote-Sensing Image Classification (6 papers). The work is most often cited by research in Media Technology (526 citations), Environmental Engineering (729 citations), Computer Vision and Pattern Recognition (710 citations), Ecology (633 citations) and Global and Planetary Change (407 citations). Peter Caccetta has collaborated with scholars based in Australia, China and Greece. Frequent co-authors include Chen Wu, François Waldner, Foivos I. Diakogiannis, J. Wallace, Eric Lehmann, Suzanne Furby, Xiaoliang Wu, Riccardo Paolini, M. Santamouris and Hassan Saeed Khan. Their work appears in journals such as International Journal of Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Journal of Environmental Quality and International Journal of Image and Data Fusion.
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.