Matthieu Molinier

49 papers receiving 1.4k citations

Peers

Matthieu Molinier
Comparison fields: 5 of 108
  • Media Technology 625
  • Environmental Engineering 425
  • Ecology 504
  • Computer Vision and Pattern Recognition 367
  • Ecological Modeling 55
Replace Leila María García Fonseca with:
Leila María García Fonseca Brazil
Samia Boukir France
Arnt-Børre Salberg Norway
Weijia Li China
Diego Marcos Netherlands
Linhai Jing China
Fuan Tsai Taiwan
Sophie Fabre France
Jonáš Hruška Portugal
Marco Körner Germany
Matthieu Molinier relative to Leila María García Fonseca Brazil Leila María García Fonseca's profile →
Citations per field
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Leila María García Fonseca · 1×
Citations per year

Countries citing papers authored by Matthieu Molinier

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Molinier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthieu Molinier, 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 Matthieu Molinier Line = papers co-authored together Matthieu Molinier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018238
2 2019188
3 2019186
4 2020123
5 202154
6 201052
7 202143
8 200742
9 202237
10 201837
11 201936
12 201636
13 202135
14 201930
15 201329
16 200726
17 202222
18 201917
19 201716
20 200713

About Matthieu Molinier

Matthieu Molinier is a scholar working on Ecology, Media Technology, Environmental Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (23 papers), Remote-Sensing Image Classification (20 papers), Remote Sensing and LiDAR Applications (17 papers), Advanced Image Fusion Techniques (11 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers), Species Distribution and Climate Change (5 papers), Image Retrieval and Classification Techniques (5 papers) and Image Enhancement Techniques (4 papers). The work is most often cited by research in Media Technology (625 citations), Environmental Engineering (425 citations), Ecology (504 citations), Computer Vision and Pattern Recognition (367 citations) and Ecological Modeling (55 citations). Matthieu Molinier has collaborated with scholars based in Finland, United States and China. Frequent co-authors include Tuomas Häme, Jorma Laaksonen, Heikki Astola, Rao Muhammad Anwer, Joost van de Weijer, Fahad Shahbaz Khan, Jorma Kilpi, Zhaocong Wu, Zhongwen Hu and Jun Li. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, Remote Sensing of Environment and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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