Journal of Applied Remote Sensing

3.0k papers and 34.3k indexed citations

About

The 3.0k papers published in Journal of Applied Remote Sensing in the last decades have received a total of 34.3k indexed citations. Papers published in Journal of Applied Remote Sensing usually cover Media Technology (901 papers), Atmospheric Science (857 papers) and Ecology (768 papers) specifically the topics of Remote-Sensing Image Classification (780 papers), Remote Sensing in Agriculture (663 papers) and Remote Sensing and Land Use (439 papers). The most active scholars publishing in Journal of Applied Remote Sensing are Gregory P. Asner, Tomás F. Pena, Francisco F. Rivera, José C. Cabaleiro, D.L. Vilariño, Jorge Martínez Sánchez, Murali Krishna Gumma, Thomas U. Kampe, Kenneth R. Knapp and David Crisp.

In The Last Decade

Journal of Applied Remote Sensing

2.9k papers receiving 33.1k citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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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2026