Centre for Remote Imaging, Sensing and Processing
Impact in
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- Atmospheric aerosols and clouds
- Fire effects on ecosystems
- Conservation, Biodiversity, and Resource Management
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- Peatlands and Wetlands Ecology
- Remote Sensing in Agriculture
- Oil Palm Production and Sustainability
Papers in
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- Remote-Sensing Image Classification 33
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- Coastal and Marine Dynamics 23
- Top scholars
- Soo Chin LiewJukka MiettinenChenghua ShiEmmanuel ChristopheAvijit GuptaLeong Keong KwohJordi IngladaBoon Ning Chew
- Journals
- Geomorphology (7 papers)International Journal of Remote Sensing (7 papers)Atmospheric Environment (6 papers)IEEE Transactions on Geoscience and Remote Sensing (5 papers)Atmospheric Research (5 papers)
- Partner nations
- SingaporeFranceUnited States
In The Last Decade
Centre for Remote Imaging, Sensing and Processing
286 papers receiving 7.3k citations
Peers
Comparison fields: 5 of 141
- Global and Planetary Change 2.1k
- Ecology 2.2k
- Media Technology 768
- Atmospheric Science 800
- Earth-Surface Processes 279
Countries citing scholars working at Centre for Remote Imaging, Sensing and Processing
This map shows the geographic impact of research produced by authors working at Centre for Remote Imaging, Sensing and Processing. 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 papers produced at Centre for Remote Imaging, Sensing and Processing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Centre for Remote Imaging, Sensing and Processing more than expected).
Fields of papers published by authors at Centre for Remote Imaging, Sensing and Processing
This network shows the impact of papers affiliated with Centre for Remote Imaging, Sensing and Processing at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Centre for Remote Imaging, Sensing and Processing at the time of their publication.
About Centre for Remote Imaging, Sensing and Processing
In recent decades, authors affiliated with Centre for Remote Imaging, Sensing and Processing have published 314 papers, which have received a total of 7.3k indexed citations . Scholars at this organization have produced 37 papers in Media Technology, 28 papers in Earth-Surface Processes, 33 papers in Oceanography, 56 papers in Global and Planetary Change and 32 papers in Atmospheric Science on the topics of Remote-Sensing Image Classification (33 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (33 papers), Atmospheric aerosols and clouds (27 papers), Coastal and Marine Dynamics (23 papers), Remote Sensing in Agriculture (23 papers), Electoral Systems and Political Participation (19 papers), Marine and coastal ecosystems (16 papers) and Fire effects on ecosystems (16 papers). Their work is cited by papers focused on Global and Planetary Change (2.1k citations), Ecology (2.2k citations), Media Technology (768 citations), Atmospheric Science (800 citations) and Earth-Surface Processes (279 citations). Authors at Centre for Remote Imaging, Sensing and Processing collaborate with scholars in Singapore, France and United States and have published in prestigious journals including Geomorphology, International Journal of Remote Sensing, Atmospheric Environment, IEEE Transactions on Geoscience and Remote Sensing and Atmospheric Research. Some of Centre for Remote Imaging, Sensing and Processing's most productive authors include Soo Chin Liew, Jukka Miettinen, Chenghua Shi, Emmanuel Christophe, Avijit Gupta, Leong Keong Kwoh, Jordi Inglada, Boon Ning Chew, Lian Pin Koh and Jaboury Ghazoul.
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.