Pierre Couteron

1.6k total citations · 1 hit paper
18 papers, 999 citations indexed

About

Pierre Couteron is a scholar working on Nature and Landscape Conservation, Environmental Engineering and Ecology. According to data from OpenAlex, Pierre Couteron has authored 18 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nature and Landscape Conservation, 11 papers in Environmental Engineering and 10 papers in Ecology. Recurrent topics in Pierre Couteron's work include Remote Sensing and LiDAR Applications (11 papers), Remote Sensing in Agriculture (10 papers) and Ecology and Vegetation Dynamics Studies (6 papers). Pierre Couteron is often cited by papers focused on Remote Sensing and LiDAR Applications (11 papers), Remote Sensing in Agriculture (10 papers) and Ecology and Vegetation Dynamics Studies (6 papers). Pierre Couteron collaborates with scholars based in France, Belgium and Cameroon. Pierre Couteron's co-authors include Nicolas Barbier, Raphaël Pélissier, Christophe Proisy, Edwige Bellier, Pierre Legendre, Anne‐Béatrice Dufour, Einar Heegaard, F. Guillaume Blanchet, Pedro R. Peres‐Neto and François Munoz and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Pierre Couteron

17 papers receiving 984 citations

Hit Papers

Community ecology in the age of multivariate multiscale s... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pierre Couteron France 14 560 526 310 283 150 18 999
Arthur Compin France 16 671 1.2× 585 1.1× 110 0.4× 112 0.4× 159 1.1× 49 1.2k
Paulo Olivas United States 15 547 1.0× 489 0.9× 98 0.3× 381 1.3× 199 1.3× 29 1.2k
Jérôme Chave France 10 216 0.4× 768 1.5× 103 0.3× 414 1.5× 115 0.8× 11 1.1k
Jonathan A. Walter United States 17 563 1.0× 404 0.8× 71 0.2× 298 1.1× 95 0.6× 61 950
Jesper Erenskjold Moeslund Denmark 14 350 0.6× 414 0.8× 146 0.5× 243 0.9× 212 1.4× 29 829
Petra Šímová Czechia 21 637 1.1× 333 0.6× 178 0.6× 459 1.6× 372 2.5× 40 1.1k
Thomas E. Dilts United States 19 485 0.9× 361 0.7× 68 0.2× 426 1.5× 245 1.6× 41 952
Kevin E. McCluney United States 17 544 1.0× 472 0.9× 55 0.2× 259 0.9× 136 0.9× 34 1.1k
Pavel V. Krestov Russia 17 257 0.5× 423 0.8× 118 0.4× 278 1.0× 88 0.6× 54 942
Paulo Alves Portugal 17 324 0.6× 290 0.6× 80 0.3× 314 1.1× 285 1.9× 40 797

Countries citing papers authored by Pierre Couteron

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Couteron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Couteron

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Couteron. A scholar is included among the top collaborators of Pierre Couteron 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 Pierre Couteron. Pierre Couteron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Lescuyer, Guillaume, et al.. (2025). Contribution of artisanal chainsaw milling to forest degradation in Central Africa. Forests Trees and Livelihoods. 35(1). 42–58.
2.
Barbier, Nicolas, Guillaume Cornu, Pierre Couteron, et al.. (2024). Combining satellite and field data reveals Congo's forest types structure, functioning and composition. Remote Sensing in Ecology and Conservation. 11(2). 200–220. 1 indexed citations
3.
Dumont, Yves, et al.. (2020). A minimalistic model of vegetation physiognomies in the savanna biome. Ecological Modelling. 440. 109381–109381. 9 indexed citations
4.
Bourgoin, Clément, Julie Betbeder, Pierre Couteron, et al.. (2020). UAV-based canopy textures assess changes in forest structure from long-term degradation. Ecological Indicators. 115. 106386–106386. 39 indexed citations
5.
Blanchard, Élodie, Philippe Birnbaum, Thomas Ibanez, et al.. (2016). Contrasted allometries between stem diameter, crown area, and tree height in five tropical biogeographic areas. Trees. 30(6). 1953–1968. 58 indexed citations
7.
Guitet, Stéphane, Bruno Hérault, Quentin Molto, Olivier Brunaux, & Pierre Couteron. (2015). Spatial Structure of Above-Ground Biomass Limits Accuracy of Carbon Mapping in Rainforest but Large Scale Forest Inventories Can Help to Overcome. PLoS ONE. 10(9). e0138456–e0138456. 27 indexed citations
8.
Barbier, Nicolas & Pierre Couteron. (2015). Attenuating the bidirectional texture variation of satellite images of tropical forest canopies. Remote Sensing of Environment. 171. 245–260. 16 indexed citations
9.
Blanchard, Élodie, Philippe Birnbaum, Christophe Proisy, et al.. (2015). Prédire la structure des forêts tropicales humides calédoniennes: analyse texturale de la canopée sur des images Pléiades. SHILAP Revista de lepidopterología. 141–147. 2 indexed citations
10.
Bastin, Jean‐François, Nicolas Barbier, Pierre Couteron, et al.. (2014). Aboveground biomass mapping of African forest mosaics using canopy texture analysis: toward a regional approach. Ecological Applications. 24(8). 1984–2001. 67 indexed citations
11.
Antin, Cécile, et al.. (2013). Crown allometries are less responsive than stem allometry to tree size and habitat variations in an Indian monsoon forest. Trees. 27(5). 1485–1495. 48 indexed citations
12.
Jia, Zhou, Christophe Proisy, Xavier Descombes, et al.. (2012). Mapping local density of young Eucalyptus plantations by individual tree detection in high spatial resolution satellite images. Forest Ecology and Management. 301. 129–141. 38 indexed citations
13.
Allouis, T., Sylvie Durrieu, & Pierre Couteron. (2012). A New Method for Incorporating Hillslope Effects to Improve Canopy-Height Estimates From Large-Footprint LIDAR Waveforms. IEEE Geoscience and Remote Sensing Letters. 9(4). 730–734. 14 indexed citations
14.
Dray, Stéphane, Raphaël Pélissier, Pierre Couteron, et al.. (2012). Community ecology in the age of multivariate multiscale spatial analysis. Ecological Monographs. 82(3). 257–275. 519 indexed citations breakdown →
15.
Barbier, Nicolas, Pierre Couteron, Jean‐Philippe Gastellu‐Etchegorry, & Christophe Proisy. (2011). Linking canopy images to forest structural parameters: potential of a modeling framework. Annals of Forest Science. 69(2). 305–311. 31 indexed citations
16.
Jia, Zhou, Christophe Proisy, Xavier Descombes, et al.. (2010). Tree crown detection in high resolution optical and lidar images of tropical forest. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7824. 78240Q–78240Q. 15 indexed citations
17.
Barbier, Nicolas, Christophe Proisy, Cédric Vega, Daniel Sabatier, & Pierre Couteron. (2010). Bidirectional texture function of high resolution optical images of tropical forest: An approach using LiDAR hillshade simulations. Remote Sensing of Environment. 115(1). 167–179. 29 indexed citations
18.
Barbier, Nicolas, Pierre Couteron, Christophe Proisy, Yadvinder Malhi, & Jean‐Philippe Gastellu‐Etchegorry. (2009). The variation of apparent crown size and canopy heterogeneity across lowland Amazonian forests. Global Ecology and Biogeography. 19(1). 72–84. 73 indexed citations

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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