ISPRS Journal of Photogrammetry and Remote Sensing

3.7k papers and 204.1k indexed citations i.

About

The 3.7k papers published in ISPRS Journal of Photogrammetry and Remote Sensing in the last decades have received a total of 204.1k indexed citations. Papers published in ISPRS Journal of Photogrammetry and Remote Sensing usually cover Environmental Engineering (1.6k papers), Ecology (1.2k papers) and Computer Vision and Pattern Recognition (862 papers) specifically the topics of Remote Sensing and LiDAR Applications (1.2k papers), Remote Sensing in Agriculture (1.1k papers) and Remote-Sensing Image Classification (711 papers). The most active scholars publishing in ISPRS Journal of Photogrammetry and Remote Sensing are Thomas Blaschke, Lucian Drăguţ, Mariana Belgiu, Emmanuel P. Baltsavias, Qihao Weng, George Vosselman, Jürgen Hothmer, I. Colomina, P. Molina and Giorgos Mountrakis.

In The Last Decade

Fields of papers published in ISPRS Journal of Photogrammetry and Remote Sensing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ISPRS Journal of Photogrammetry and 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 ISPRS Journal of Photogrammetry and Remote Sensing.

Countries where authors publish in ISPRS Journal of Photogrammetry and Remote Sensing

Since Specialization
Citations

This map shows the geographic impact of research published in ISPRS Journal of Photogrammetry and 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 ISPRS Journal of Photogrammetry and 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 ISPRS Journal of Photogrammetry and Remote Sensing 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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