Countries where authors publish in Journal of Applied Remote Sensing
Since Specialization
Citations
This map shows the geographic impact of research published in Journal of Applied Remote Sensing. 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 published in Journal of Applied Remote Sensing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Applied Remote Sensing more than expected).
Fields of papers published in Journal of Applied Remote Sensing
This network shows the impact of papers published in Journal of Applied Remote Sensing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Applied Remote Sensing.
About Journal of Applied Remote Sensing
The 3.0k papers published in Journal of Applied Remote Sensing in the last decades have received a total of 36.4k indexed citations . Papers published in Journal of Applied Remote Sensing usually cover Media Technology (910 papers), Environmental Engineering (739 papers), Atmospheric Science (864 papers), Global and Planetary Change (666 papers) and Ecology (761 papers) specifically the topics of Remote-Sensing Image Classification (789 papers), Remote Sensing in Agriculture (654 papers), Remote Sensing and Land Use (446 papers), Remote Sensing and LiDAR Applications (408 papers), Advanced Image Fusion Techniques (313 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (279 papers), Advanced SAR Imaging Techniques (230 papers) and Land Use and Ecosystem Services (210 papers). The most active scholars publishing in Journal of Applied Remote Sensing are Gregory P. Asner, Francisco F. Rivera, Jose Carlos Cabaleiro, David Lopez Vilarino, Jorge Martínez Sánchez, Tomas Fernandez Pena, Thomas U. Kampe, Murali Krishna Gumma, Yun Zhang and David Crisp.
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.