Remote Sensing of Environment

10.2k papers and 896.3k indexed citations i.

About

The 10.2k papers published in Remote Sensing of Environment in the last decades have received a total of 896.3k indexed citations. Papers published in Remote Sensing of Environment usually cover Ecology (4.7k papers), Global and Planetary Change (4.6k papers) and Environmental Engineering (4.3k papers) specifically the topics of Remote Sensing in Agriculture (4.1k papers), Remote Sensing and LiDAR Applications (2.0k papers) and Land Use and Ecosystem Services (1.2k papers). The most active scholars publishing in Remote Sensing of Environment are Alfredo Huete, Compton J. Tucker, Russell G. Congalton, Giles M. Foody, Curtis E. Woodcock, Bo‐Cai Gao, Frédéric Baret, Stephen V. Stehman, Warren B. Cohen and Erik Næsset.

In The Last Decade

Fields of papers published in Remote Sensing of Environment

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Remote Sensing of Environment. 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 of Environment.

Countries where authors publish in Remote Sensing of Environment

Since Specialization
Citations

This map shows the geographic impact of research published in Remote Sensing of Environment. 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 of Environment 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 of Environment more than expected).

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.

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