Pedram Ghamisi

243 papers and 15.6k indexed citations i.

About

Pedram Ghamisi is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pedram Ghamisi has authored 243 papers receiving a total of 15.6k indexed citations (citations by other indexed papers that have themselves been cited), including 178 papers in Media Technology, 86 papers in Atmospheric Science and 72 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pedram Ghamisi’s work include Remote-Sensing Image Classification (168 papers), Remote Sensing and Land Use (82 papers) and Advanced Image Fusion Techniques (58 papers). Pedram Ghamisi is often cited by papers focused on Remote-Sensing Image Classification (168 papers), Remote Sensing and Land Use (82 papers) and Advanced Image Fusion Techniques (58 papers). Pedram Ghamisi collaborates with scholars based in Germany, China and Austria. Pedram Ghamisi's co-authors include Jón Atli Benediktsson, Yushi Chen, Xiao Xiang Zhu, Xiuping Jia, Lichao Mou, Behnood Rasti, Hanlu Jiang, Chunyang Li, Leyuan Fang and Antonio Plaza and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Co-authorship network of co-authors of Pedram Ghamisi i

Fields of papers citing papers by Pedram Ghamisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedram Ghamisi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pedram Ghamisi. The network helps show where Pedram Ghamisi may publish in the future.

Countries citing papers authored by Pedram Ghamisi

Since Specialization
Citations

This map shows the geographic impact of Pedram Ghamisi's research. 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 Pedram Ghamisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedram Ghamisi 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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