Peter A. Caccetta
Impact in
- Media Technology top 0.5%
- Remote-Sensing Image Classification
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- Soil Geostatistics and Mapping 10
- Remote Sensing and LiDAR Applications 8
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- Remote-Sensing Image Classification 17
- Co-authors
- Foivos I. Diakogiannis (3 shared papers)François Waldner (2 shared papers)Chen Wu (1 shared paper)Jeremy F. Wallace (10 shared papers)Eric Lehmann (11 shared papers)Suzanne L. Furby (11 shared papers)Xiaoliang Wu (10 shared papers)Hassan Saeed Khan (4 shared papers)
In The Last Decade
Peter A. Caccetta
67 papers receiving 2.5k citations
Peter A. Caccetta's Hit Papers
Peers
Comparison fields: 5 of 103
- Media Technology 696
- Computer Vision and Pattern Recognition 670
- Environmental Engineering 301
- Ecology 404
- Ocean Engineering 180
Countries citing papers authored by Peter A. Caccetta
This map shows the geographic impact of Peter A. 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 A. 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 A. Caccetta more than expected).
Fields of papers citing papers by Peter A. Caccetta
This network shows the impact of papers produced by Peter A. 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 A. Caccetta. The network helps show where Peter A. Caccetta may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter A. 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 69 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 | 1511 |
| 2 | 2014 | 97 | |
| 3 | 2012 | 92 | |
| 4 | 2020 | 79 | |
| 5 | 2002 | 58 | |
| 6 | 2011 | 52 | |
| 7 | 2020 | 48 | |
| 8 | 2010 | 47 | |
| 9 | 2013 | 41 | |
| 10 | 2010 | 38 | |
| 11 | 2022 | 37 | |
| 12 | 2004 | 36 | |
| 13 | 2020 | 35 | |
| 14 | 2014 | 31 | |
| 15 | 2021 | 29 | |
| 16 | 2000 | 27 | |
| 17 | 2011 | 27 | |
| 18 | 2021 | 27 | |
| 19 | 2010 | 26 | |
| 20 | The Land Monitor Project | 2000 | 24 |
About Peter A. Caccetta
Peter A. Caccetta is a scholar working on Environmental Engineering, Media Technology, Ecology, Aerospace Engineering and Ocean Engineering, having authored 69 papers that have together received 2.6k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (19 papers), Remote-Sensing Image Classification (17 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (14 papers), Soil Geostatistics and Mapping (10 papers), Satellite Image Processing and Photogrammetry (10 papers), Remote Sensing and LiDAR Applications (8 papers), Engineering and Agricultural Innovations (7 papers) and Remote Sensing and Land Use (6 papers). The work is most often cited by research in Media Technology (696 citations), Computer Vision and Pattern Recognition (670 citations), Environmental Engineering (301 citations), Ecology (404 citations) and Ocean Engineering (180 citations). Peter A. Caccetta has collaborated with scholars based in Australia, China and Greece. Frequent co-authors include Foivos I. Diakogiannis, François Waldner, Chen Wu, Jeremy F. Wallace, Eric Lehmann, Suzanne L. Furby, Xiaoliang Wu, Hassan Saeed Khan, Zheng-Shu Zhou and Riccardo Paolini. Their work appears in journals such as International Journal of Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, Remote Sensing and Journal of Environmental Quality.
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.