Mercedes E. Paoletti

86 papers and 3.9k indexed citations i.

About

Mercedes E. Paoletti is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Mercedes E. Paoletti has authored 86 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Media Technology, 46 papers in Computer Vision and Pattern Recognition and 30 papers in Atmospheric Science. Recurrent topics in Mercedes E. Paoletti’s work include Remote-Sensing Image Classification (67 papers), Remote Sensing and Land Use (30 papers) and Advanced Image Fusion Techniques (21 papers). Mercedes E. Paoletti is often cited by papers focused on Remote-Sensing Image Classification (67 papers), Remote Sensing and Land Use (30 papers) and Advanced Image Fusion Techniques (21 papers). Mercedes E. Paoletti collaborates with scholars based in Spain, China and India. Mercedes E. Paoletti's co-authors include Juan M. Haut, Antonio Plaza, Javier Plaza, Rubén Fernández-Beltrán, Filiberto Pla, Jun Li, Swalpa Kumar Roy, Xuanwen Tao, Shutao Li and Nanjun He and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Mercedes E. Paoletti i

Fields of papers citing papers by Mercedes E. Paoletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mercedes E. Paoletti. 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 Mercedes E. Paoletti. The network helps show where Mercedes E. Paoletti may publish in the future.

Countries citing papers authored by Mercedes E. Paoletti

Since Specialization
Citations

This map shows the geographic impact of Mercedes E. Paoletti'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 Mercedes E. Paoletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercedes E. Paoletti 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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2025