Countries where authors publish in Remote Sensing Letters
Since Specialization
Citations
This map shows the geographic impact of research published in Remote Sensing Letters. 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 Remote Sensing Letters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Remote Sensing Letters more than expected).
Fields of papers published in Remote Sensing Letters
This network shows the impact of papers published in Remote Sensing Letters. 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 Remote Sensing Letters.
About Remote Sensing Letters
The 1.6k papers published in Remote Sensing Letters in the last decades have received a total of 24.2k indexed citations . Papers published in Remote Sensing Letters usually cover Media Technology (447 papers), Environmental Engineering (453 papers), Atmospheric Science (509 papers), Global and Planetary Change (405 papers) and Ecology (439 papers) specifically the topics of Remote-Sensing Image Classification (399 papers), Remote Sensing in Agriculture (382 papers), Remote Sensing and LiDAR Applications (241 papers), Remote Sensing and Land Use (223 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (217 papers), Advanced SAR Imaging Techniques (168 papers), Advanced Image Fusion Techniques (135 papers) and Land Use and Ecosystem Services (115 papers). The most active scholars publishing in Remote Sensing Letters are Desheng Liu, Fan Xia, Muhammad Hasan Ali Baig, Shanjun Mao, Jun Yue, Lifu Zhang, Qingxi Tong, Shuai Tong, John Rogan and Hui Liu.
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.