Mercedes E. Paoletti

6.1k total citations · 5 hit papers
98 papers, 4.8k citations indexed

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 98 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Media Technology, 53 papers in Computer Vision and Pattern Recognition and 33 papers in Atmospheric Science. Recurrent topics in Mercedes E. Paoletti's work include Remote-Sensing Image Classification (76 papers), Remote Sensing and Land Use (33 papers) and Advanced Image Fusion Techniques (24 papers). Mercedes E. Paoletti is often cited by papers focused on Remote-Sensing Image Classification (76 papers), Remote Sensing and Land Use (33 papers) and Advanced Image Fusion Techniques (24 papers). Mercedes E. Paoletti collaborates with scholars based in Spain, China and Italy. Mercedes E. Paoletti's co-authors include Juan M. Haut, Antonio Plaza, Javier Plaza, Rubén Fernández-Beltrán, Filiberto Pla, Jun Li, Xuanwen Tao, Swalpa Kumar Roy, 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

Mercedes E. Paoletti

93 papers receiving 4.8k citations

Hit Papers

Deep learning classifiers for hyperspectral imaging: A re... 2017 2026 2020 2023 2019 2017 2018 2018 2022 250 500 750

Peers

Mercedes E. Paoletti
Comparison fields: 5 of 129
  • Media Technology 3.8k
  • Atmospheric Science 2.0k
  • Computer Vision and Pattern Recognition 1.8k
  • Artificial Intelligence 578
  • Ecology 569
Replace Juan M. Haut with:
Juan M. Haut Spain
Sen Jia China
Wenzhi Liao Belgium
Hassan Ghassemian Iran
Saurabh Prasad United States
Swalpa Kumar Roy India
Yuliya Tarabalka France
Hongjun Su China
Yanfeng Gu China
Mathieu Fauvel France
Juan M. Haut Spain View profile →
Citations per field, relative to Mercedes E. Paoletti
Mercedes E. Paoletti · 1×
Citations per year, relative to Mercedes E. Paoletti
Mercedes E. Paoletti · 1×

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Mercedes E. Paoletti. A scholar is included among the top collaborators of Mercedes E. Paoletti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mercedes E. Paoletti. Mercedes E. Paoletti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 11
2 2
3 1
4 15
5 18
6 26
7 8
8 40
9 81
10 10
11 8
12 8
13 31
14 77
15 13
16 120
17 207
18 84
19 16
20
Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification breakdown →
442

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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