Peter Caccetta

3.3k citations
67 papers · 2.3k indexed · 1 hit paper · h-index 21

Peter Caccetta

66 papers receiving 2.2k citations

Hit Papers

ResUNet-a: A deep learning framework for semantic segment...1.2k20202026202220244008001.2k

Peers

Peter Caccetta
Comparison fields: 5 of 137
  • Media Technology 503
  • Environmental Engineering 680
  • Computer Vision and Pattern Recognition 661
  • Ecology 598
  • Global and Planetary Change 389
Replace François Waldner with:
François Waldner Belgium
Olaf Hellwich Germany
Weitao Chen China
Shenghui Fang China
Wei Han China
Raul Queiroz Feitosa Brazil
Xianju Li China
Silvana Dellepiane Italy
Peter Caccetta relative to François Waldner Belgium François Waldner's profile →
Citations per field
00.5×1.5×
François Waldner · 1×
Citations per year

Countries citing papers authored by Peter Caccetta

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Peter Caccetta Line = papers co-authored together Peter Caccetta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20225
3 202126
4 202030
5 202020
6 20192
7 20153
8 201429
9 201341
10 20121
11 201291
12
Monitoring Australian Continental Land Cover Changes Using Landsat Imagery as a Component of Assessing the Role of Vegetation Dynamics on Terrestrial Carbon Cycling
20106
13 201041
14 200113
15
Using natural resource inventory data to improve the management of dryland salinity in the Great Southern, Western Australia
20009
16
The Land Monitor Project
200023
17
Salinity risk prediction using Landsat TM and DEM-derived data
20004
18 199810
19
Integrating Remotely Sensed Data With Other Spatial Data Sets To Predict Areas At Risk From Salinity
199611
20
Aspects Of Reasoning With Uncertainty In An Agricultural Gis Environment
19951

About Peter Caccetta

Peter Caccetta is a scholar working on Environmental Engineering, Ecology and Geology, having authored 67 papers that have together received 2.3k indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (27 papers), Remote Sensing in Agriculture (26 papers), Soil Geostatistics and Mapping (26 papers), Geochemistry and Geologic Mapping (9 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers), Land Use and Ecosystem Services (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 (503 citations), Environmental Engineering (680 citations) and Computer Vision and Pattern Recognition (661 citations). Peter Caccetta has collaborated with scholars based in Australia, China and Greece. Frequent co-authors include Chen Wu, Foivos I. Diakogiannis, François Waldner, Eric Lehmann, J. Wallace, Suzanne Furby, Xiaoliang Wu, Zheng-Shu Zhou, M. Santamouris 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, International Journal of Image and Data Fusion and Applied Vegetation Science.

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.

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