Thomas Corpetti

90 papers receiving 1.9k citations

Hit Papers

UAV & satellite synergies for optical remote sensing applications: A literature review 2021 · 172 citations
1720+1+3Years since publication50100150

Peers

Thomas Corpetti
Comparison fields: 5 of 124
  • Environmental Engineering 512
  • Media Technology 299
  • Computer Vision and Pattern Recognition 521
  • Ecology 648
  • Global and Planetary Change 486
Replace Linlin Xu with:
Linlin Xu Canada
Ronan Fablet France
Ben Gorte Netherlands
Rongjun Qin United States
Yongyang Xu China
Ruofei Zhong China
Carl Salvaggio United States
Jixian Zhang China
Alina Zare United States
Thomas Corpetti relative to Linlin Xu Canada Linlin Xu's profile →
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Countries citing papers authored by Thomas Corpetti

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Corpetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Corpetti. 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 Thomas Corpetti. The network helps show where Thomas Corpetti may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas Corpetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Corpetti Line = papers co-authored together Thomas Corpetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002217
2 2005185
3
UAV & satellite synergies for optical remote sensing applications: A literature review
Hit paper breakdown →
2021172
4 2016114
5 201488
6 202075
7 201770
8 201561
9 201456
10 201047
11 200843
12 201542
13 200336
14 201434
15 202132
16 201830
17 200730
18 202130
19 202328
20 201725

About Thomas Corpetti

Thomas Corpetti is a scholar working on Ecology, Environmental Engineering, Global and Planetary Change, Computer Vision and Pattern Recognition and Atmospheric Science, having authored 98 papers that have together received 1.9k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (35 papers), Remote Sensing and LiDAR Applications (32 papers), Land Use and Ecosystem Services (21 papers), Remote-Sensing Image Classification (14 papers), Advanced Vision and Imaging (13 papers), Remote Sensing and Land Use (11 papers), Advanced Image Processing Techniques (11 papers) and 3D Surveying and Cultural Heritage (10 papers). The work is most often cited by research in Environmental Engineering (512 citations), Media Technology (299 citations), Computer Vision and Pattern Recognition (521 citations), Ecology (648 citations) and Global and Planetary Change (486 citations). Thomas Corpetti has collaborated with scholars based in France, China and Morocco. Frequent co-authors include Étienne Mémin, Patrick Pérez, Thomas Houet, Emilien Alvarez-Vanhard, Laurence Hubert‐Moy, Étienne Mémin, Samuel Corgne, Christophe Sannier, Dominique Heitz and Sébastien Lefèvre. Their work appears in journals such as Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing of Environment and Experiments in Fluids.

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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