Countries where authors publish in Remote Sensing Reviews
Since Specialization
Citations
This map shows the geographic impact of research published in Remote Sensing Reviews. 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 Reviews 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 Reviews more than expected).
Fields of papers published in Remote Sensing Reviews
This network shows the impact of papers published in Remote Sensing Reviews. 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 Reviews.
About Remote Sensing Reviews
The 254 papers published in Remote Sensing Reviews in the last decades have received a total of 12.4k indexed citations . Papers published in Remote Sensing Reviews usually cover Environmental Engineering (79 papers), Atmospheric Science (61 papers), Ecology (87 papers), Media Technology (24 papers) and Global and Planetary Change (46 papers) specifically the topics of Remote Sensing in Agriculture (87 papers), Soil Moisture and Remote Sensing (44 papers), Calibration and Measurement Techniques (29 papers), Remote Sensing and LiDAR Applications (27 papers), Remote Sensing and Land Use (25 papers), Remote-Sensing Image Classification (24 papers), Precipitation Measurement and Analysis (20 papers) and Atmospheric aerosols and clouds (16 papers). The most active scholars publishing in Remote Sensing Reviews are Narendra S. Goel, Toby Nahum Carlson, Christian Mätzler, Paul M. Rich, F. Bonn, Denis Morin, A. Bannari, ALFREDO R. HUETE, Marvin E. Bauer and Pol R. Coppin.
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.