Loris Copa
Impact in
- Media Technology top 1%
- Remote-Sensing Image Classification
- Artificial Intelligence top 10%
- Machine Learning and Algorithms
- Domain Adaptation and Few-Shot Learning
Papers in
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- Remote-Sensing Image Classification 2
-
- Satellite Image Processing and Photogrammetry 1
- Co-authors
- Devis Tuia (2 shared papers)Michele Volpi (2 shared papers)Mikhaïl Kanevski (2 shared papers)Jordi Muñoz-Marı́ (1 shared paper)Kazuki Saito (1 shared paper)Kalimuthu Senthilkumar (1 shared paper)Francesco Holecz (1 shared paper)Fabio Remondino (1 shared paper)
- Journals
- IEEE Journal of Selected Topics in Signal Processing (1 paper)Smart Agricultural Technology (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)InTech eBooks (1 paper)
- Partner nations
- SpainSwitzerlandPhilippines
In The Last Decade
Loris Copa
4 papers receiving 495 citations
Loris Copa's Hit Papers
Peers
Comparison fields: 5 of 48
- Media Technology 320
- Artificial Intelligence 101
- Ecology 49
- Computer Vision and Pattern Recognition 47
- Environmental Engineering 15
Countries citing papers authored by Loris Copa
This map shows the geographic impact of Loris Copa'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 Loris Copa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loris Copa more than expected).
Fields of papers citing papers by Loris Copa
This network shows the impact of papers produced by Loris Copa. 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 Loris Copa. The network helps show where Loris Copa may publish in the future.
Co-authors
The 11 scholars most cited alongside Loris Copa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification Hit paper breakdown → | 2011 | 474 |
| 2 | 2010 | 27 | |
| 3 | 2025 | 2 | |
| 4 | 2014 | 1 |
About Loris Copa
Loris Copa is a scholar working on Media Technology, Ocean Engineering, Ecology, Aerospace Engineering and Nuclear Energy and Engineering, having authored 4 papers that have together received 504 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (2 papers), Satellite Image Processing and Photogrammetry (1 paper), Synthetic Aperture Radar (SAR) Applications and Techniques (1 paper) and Remote Sensing in Agriculture (1 paper). The work is most often cited by research in Media Technology (320 citations), Artificial Intelligence (101 citations), Ecology (49 citations), Computer Vision and Pattern Recognition (47 citations) and Environmental Engineering (15 citations). Loris Copa has collaborated with scholars based in Spain, Switzerland and Philippines. Frequent co-authors include Devis Tuia, Michele Volpi, Mikhaïl Kanevski, Jordi Muñoz-Marı́, Kazuki Saito, Kalimuthu Senthilkumar, Francesco Holecz, Fabio Remondino, Ali Ibrahim and Renaud Mathieu. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, Smart Agricultural Technology, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and InTech eBooks.
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.