Fleur Longuetaud

1.5k total citations
36 papers, 1.1k citations indexed

About

Fleur Longuetaud is a scholar working on Nature and Landscape Conservation, Environmental Engineering and Mechanical Engineering. According to data from OpenAlex, Fleur Longuetaud has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Nature and Landscape Conservation, 14 papers in Environmental Engineering and 14 papers in Mechanical Engineering. Recurrent topics in Fleur Longuetaud's work include Forest ecology and management (24 papers), Remote Sensing and LiDAR Applications (14 papers) and Tree Root and Stability Studies (14 papers). Fleur Longuetaud is often cited by papers focused on Forest ecology and management (24 papers), Remote Sensing and LiDAR Applications (14 papers) and Tree Root and Stability Studies (14 papers). Fleur Longuetaud collaborates with scholars based in France, Morocco and Austria. Fleur Longuetaud's co-authors include Frédéric Mothe, Jean-Michel Leban, Philippe Santenoise, Thiéry Constant, Catherine Collet, Holger Wernsdörfer, Alexandre Piboule, Laurent Saint‐André, Isabelle Debled-Rennesson and Bertrand Kerautret and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Ecology and IEEE Access.

In The Last Decade

Fleur Longuetaud

33 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fleur Longuetaud France 18 697 435 289 222 221 36 1.1k
Frédéric Mothe France 21 585 0.8× 316 0.7× 279 1.0× 288 1.3× 234 1.1× 56 1.1k
Thiéry Constant France 13 552 0.8× 205 0.5× 580 2.0× 238 1.1× 53 0.2× 35 1.1k
David M. Drew South Africa 20 646 0.9× 816 1.9× 168 0.6× 213 1.0× 601 2.7× 50 1.2k
Franka Brüchert Germany 14 294 0.4× 219 0.5× 133 0.5× 361 1.6× 24 0.1× 35 738
Francis Colin France 16 458 0.7× 299 0.7× 94 0.3× 267 1.2× 61 0.3× 33 701
Chhun-Huor Ung Canada 18 763 1.1× 601 1.4× 334 1.2× 211 1.0× 155 0.7× 45 1.0k
Eva Lindberg Sweden 23 896 1.3× 345 0.8× 1.4k 5.0× 53 0.2× 72 0.3× 58 1.9k
Andreas Rais Germany 13 379 0.5× 209 0.5× 92 0.3× 164 0.7× 123 0.6× 26 524
Robert Schneider Canada 17 561 0.8× 438 1.0× 208 0.7× 134 0.6× 113 0.5× 63 834
Arne Nothdurft Austria 21 808 1.2× 388 0.9× 852 2.9× 71 0.3× 123 0.6× 62 1.4k

Countries citing papers authored by Fleur Longuetaud

Since Specialization
Citations

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

Fields of papers citing papers by Fleur Longuetaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fleur Longuetaud

This figure shows the co-authorship network connecting the top 25 collaborators of Fleur Longuetaud. A scholar is included among the top collaborators of Fleur Longuetaud 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 Fleur Longuetaud. Fleur Longuetaud 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
1.
Wimmer, Georg, Frédéric Mothe, Alexandre Piboule, et al.. (2024). A new approach to biometric wood log traceability combining traditional methods and deep learning. SHILAP Revista de lepidopterología. 10. 100686–100686.
2.
Longuetaud, Fleur, Frédéric Mothe, Thiéry Constant, et al.. (2023). Traceability and quality assessment of Norway spruce (Picea abies (L.) H.Karst.) logs: the TreeTrace_spruce database. Annals of Forest Science. 80(1). 5 indexed citations
3.
4.
Mothe, Frédéric, et al.. (2021). Modelling bark volume for six commercially important tree species in France: assessment of models and application at regional scale. Annals of Forest Science. 78(4). 8 indexed citations
5.
Pichancourt, Jean‐Baptiste, Sylvain Caurla, Antoine Colin, et al.. (2021). A generic information framework for decision-making in a forest-based bio-economy. Annals of Forest Science. 78(4). 2 indexed citations
6.
Mothe, Frédéric, et al.. (2021). Vertical variations in wood basic density for two softwood species. European Journal of Forest Research. 140(6). 1401–1416. 10 indexed citations
7.
Mothe, Frédéric, et al.. (2018). CarDen: A software for fast measurement of wood density on increment cores by CT scanning. Computers and Electronics in Agriculture. 156. 606–617. 18 indexed citations
8.
Longuetaud, Fleur, Frédéric Mothe, Philippe Santenoise, et al.. (2017). Patterns of within-stem variations in wood specific gravity and water content for five temperate tree species. Annals of Forest Science. 74(3). 43 indexed citations
9.
Toïgo, Maude, Thomas Pérot, Benoı̂t Courbaud, et al.. (2017). Difference in shade tolerance drives the mixture effect on oak productivity. Journal of Ecology. 106(3). 1073–1082. 47 indexed citations
10.
Longuetaud, Fleur, Frédéric Mothe, Mériem Fournier, et al.. (2016). Within-stem maps of wood density and water content for characterization of species: a case study on three hardwood and two softwood species. Annals of Forest Science. 73(3). 601–614. 34 indexed citations
11.
Kerautret, Bertrand, et al.. (2014). Knot segmentation in 3D CT images of wet wood. Pattern Recognition. 47(12). 3852–3869. 16 indexed citations
12.
13.
Longuetaud, Fleur, Alexandre Piboule, Holger Wernsdörfer, & Catherine Collet. (2013). Crown plasticity reduces inter-tree competition in a mixed broadleaved forest. European Journal of Forest Research. 132(4). 621–634. 78 indexed citations
14.
Longuetaud, Fleur, et al.. (2013). Modelling knot morphology as a function of external tree and branch attributes. Canadian Journal of Forest Research. 43(3). 266–277. 34 indexed citations
15.
Bontemps, Jean‐Daniel, Fleur Longuetaud, Tony Franceschini, Marie Charru, & Thiéry Constant. (2012). L'estimation de la biomasse et de la productivité forestières à l'épreuve des changements environnementaux.. SPIRE - Sciences Po Institutional REpository. 3 indexed citations
16.
Longuetaud, Fleur, et al.. (2012). Automatic knot detection and measurements from X-ray CT images of wood: A review and validation of an improved algorithm on softwood samples. Computers and Electronics in Agriculture. 85. 77–89. 74 indexed citations
17.
Longuetaud, Fleur, Thomas Seifert, Jean-Michel Leban, & Hans Pretzsch. (2008). Analysis of long-term dynamics of crowns of sessile oaks at the stand level by means of spatial statistics. Forest Ecology and Management. 255(5-6). 2007–2019. 51 indexed citations
18.
Longuetaud, Fleur, Frédéric Mothe, & Jean-Michel Leban. (2007). Automatic detection of the heartwood/sapwood boundary within Norway spruce (Picea abies (L.) Karst.) logs by means of CT images. Computers and Electronics in Agriculture. 58(2). 100–111. 29 indexed citations
19.
Longuetaud, Fleur, Frédéric Mothe, Jean-Michel Leban, & Annikki Mäkelä. (2006). Picea abies sapwood width: Variations within and between trees. Scandinavian Journal of Forest Research. 21(1). 41–53. 53 indexed citations
20.
Longuetaud, Fleur, Laurent Saint‐André, & Jean-Michel Leban. (2005). Automatic Detection of Annual Growth Units on Picea abies Logs Using Optical and X-Ray Techniques. Journal of Nondestructive Evaluation. 24(1). 29–43. 17 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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