Renaud Mathieu

111 papers receiving 4.7k citations

Peers

Renaud Mathieu
Comparison fields: 5 of 117
  • Ecological Modeling 570
  • Environmental Engineering 1.8k
  • Ecology 2.9k
  • Global and Planetary Change 1.7k
  • Media Technology 469
Replace James E. Vogelmann with:
James E. Vogelmann United States
Christopher Conrad Germany
Paul E. Gessler United States
Bruce K. Wylie United States
Kirsten M. de Beurs United States
James W. Merchant United States
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Citations per field
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Citations per year

Countries citing papers authored by Renaud Mathieu

Since Specialization
Citations

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

Fields of papers citing papers by Renaud Mathieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007302
2 2011288
3 2012251
4 2017188
5 2012185
6 2012168
7 2014164
8 1998151
9 2014148
10 2008144
11 2007133
12 2010124
13 2008121
14 1996116
15 201197
16 201197
17 199696
18 201396
19 200295
20 201589

About Renaud Mathieu

Renaud Mathieu is a scholar working on Ecology, Environmental Engineering, Global and Planetary Change, Nature and Landscape Conservation and Ecological Modeling, having authored 113 papers that have together received 4.8k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (54 papers), Remote Sensing and LiDAR Applications (36 papers), Wildlife Ecology and Conservation (20 papers), Land Use and Ecosystem Services (20 papers), Species Distribution and Climate Change (12 papers), Forest ecology and management (11 papers), Remote-Sensing Image Classification (9 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (9 papers). The work is most often cited by research in Ecological Modeling (570 citations), Environmental Engineering (1.8k citations), Ecology (2.9k citations), Global and Planetary Change (1.7k citations) and Media Technology (469 citations). Renaud Mathieu has collaborated with scholars based in South Africa, United States and New Zealand. Frequent co-authors include Moses Azong Cho, Abel Ramoelo, Gregory P. Asner, Laven Naidoo, Jagannath Aryal, Russell Main, Thierry Bariac, Claire Freeman, Andrew K. Skidmore and Konrad Wessels. Their work appears in journals such as Remote Sensing of Environment, Remote Sensing, International Journal of Applied Earth Observation and Geoinformation, ISPRS Journal of Photogrammetry and Remote Sensing and Biological Invasions.

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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