Ludovic Villard

2.2k total citations
42 papers, 1.5k citations indexed

About

Ludovic Villard is a scholar working on Environmental Engineering, Aerospace Engineering and Management, Monitoring, Policy and Law. According to data from OpenAlex, Ludovic Villard has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Environmental Engineering, 29 papers in Aerospace Engineering and 12 papers in Management, Monitoring, Policy and Law. Recurrent topics in Ludovic Villard's work include Synthetic Aperture Radar (SAR) Applications and Techniques (29 papers), Remote Sensing and LiDAR Applications (25 papers) and Soil Moisture and Remote Sensing (13 papers). Ludovic Villard is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (29 papers), Remote Sensing and LiDAR Applications (25 papers) and Soil Moisture and Remote Sensing (13 papers). Ludovic Villard collaborates with scholars based in France, Italy and Germany. Ludovic Villard's co-authors include Thuy Le Toan, Stéphane Mermoz, Stefano Tebaldini, Dinh Ho Tong Minh, F. Rocca, Maxime Réjou‐Méchain, Mauro Mariotti d’Alessandro, Alexandre Bouvet, Pascale Dubois-Fernandez and Jérôme Chave and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Ludovic Villard

40 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ludovic Villard France 17 1.0k 704 542 305 299 42 1.5k
Maxim Neumann United States 18 918 0.9× 608 0.9× 402 0.7× 222 0.7× 180 0.6× 47 1.4k
Marcus Engdahl Italy 18 713 0.7× 576 0.8× 391 0.7× 196 0.6× 205 0.7× 42 1.4k
Maciej J. Soja Sweden 17 748 0.7× 597 0.8× 260 0.5× 217 0.7× 151 0.5× 50 987
Oliver Cartus Switzerland 19 863 0.8× 331 0.5× 592 1.1× 88 0.3× 314 1.1× 51 1.3k
Seung-Kuk Lee United States 18 580 0.6× 629 0.9× 329 0.6× 243 0.8× 93 0.3× 72 1.1k
Kathleen M. Bergen United States 18 822 0.8× 289 0.4× 668 1.2× 104 0.3× 368 1.2× 44 1.5k
Takeshi Motohka Japan 20 637 0.6× 389 0.6× 832 1.5× 84 0.3× 130 0.4× 88 1.5k
Johan E. S. Fransson Sweden 29 2.1k 2.0× 1.0k 1.5× 846 1.6× 284 0.9× 736 2.5× 126 2.6k
Dan Johan Weydahl Norway 15 505 0.5× 362 0.5× 190 0.4× 115 0.4× 189 0.6× 46 836
T. Letoan France 6 593 0.6× 368 0.5× 300 0.6× 77 0.3× 108 0.4× 13 880

Countries citing papers authored by Ludovic Villard

Since Specialization
Citations

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

Fields of papers citing papers by Ludovic Villard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ludovic Villard

This figure shows the co-authorship network connecting the top 25 collaborators of Ludovic Villard. A scholar is included among the top collaborators of Ludovic Villard 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 Ludovic Villard. Ludovic Villard 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.
Calders, Kim, Martin Herold, Jennifer Adams, et al.. (2025). Realistic virtual forests for understanding forest disturbances and recovery from space. ISPRS Journal of Photogrammetry and Remote Sensing. 227. 501–507.
2.
Baghdadi, Nicolas, et al.. (2024). Canopy height mapping in French Guiana using multi-source satellite data and environmental information in a U-Net architecture. SHILAP Revista de lepidopterología. 5. 2 indexed citations
3.
Frison, Pierre‐Louis, Ludovic Villard, Nadia Ouaadi, et al.. (2024). Analysis of C-Band Radar Temporal Coherence Over an Irrigated Olive Orchard in a Semi-Arid Region. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 3635–3647. 2 indexed citations
4.
Toan, Thuy Le, Ludovic Villard, Juan Doblas, et al.. (2024). Tackling high biomass in tropical forests through the BIOMASS mission. SHILAP Revista de lepidopterología. XLVIII-3-2024. 287–293. 1 indexed citations
5.
Ouaadi, Nadia, Lionel Jarlan, Ludovic Villard, et al.. (2024). Temporal decorrelation of C-band radar data over wheat in a semi-arid area using sub-daily tower-based observations. Remote Sensing of Environment. 304. 114059–114059. 3 indexed citations
6.
García-Duro, Juan, et al.. (2023). Seasonality and directionality effects on radar backscatter are key to identify mountain forest types with Sentinel-1 data. Remote Sensing of Environment. 296. 113728–113728. 10 indexed citations
7.
Marie, Guillaume, Sebastiaan Luyssaert, Cécile Dardel, et al.. (2022). Constraining a land cover map with satellite-based aboveground biomass estimates over Africa. Geoscientific model development. 15(6). 2599–2617. 1 indexed citations
8.
Villard, Ludovic, et al.. (2021). Long-Term Trends of P-Band Temporal Decorrelation Over a Tropical Dense Forest-Experimental Results for the BIOMASS Mission. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 10 indexed citations
9.
Ulander, Lars M. H., Mauro Mariotti d’Alessandro, Davide Giudici, et al.. (2021). BIOMASS Level-2 Products - Part I: Rationale and Applications. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 52. 779–782.
10.
Santoro, Maurizio, et al.. (2020). Investigating the Impact of Digital Elevation Models on Sentinel-1 Backscatter and Coherence Observations. Remote Sensing. 12(18). 3016–3016. 12 indexed citations
11.
Tanase, Mihai A., Ludovic Villard, Diana Pitar, et al.. (2019). Synthetic aperture radar sensitivity to forest changes: A simulations-based study for the Romanian forests. The Science of The Total Environment. 689. 1104–1114. 31 indexed citations
12.
Hajj, Mohammad El, Nicolas Baghdadi, Nicolas Labrière, Jean‐Stéphane Bailly, & Ludovic Villard. (2019). Mapping of aboveground biomass in Gabon. Comptes Rendus Géoscience. 351(4). 321–331. 13 indexed citations
13.
Morin, David, Milena Planells, Dominique Guyon, et al.. (2019). Estimation and Mapping of Forest Structure Parameters from Open Access Satellite Images: Development of a Generic Method with a Study Case on Coniferous Plantation. Remote Sensing. 11(11). 1275–1275. 55 indexed citations
14.
Tebaldini, Stefano, Dinh Ho Tong Minh, Mauro Mariotti d’Alessandro, et al.. (2019). The Status of Technologies to Measure Forest Biomass and Structural Properties: State of the Art in SAR Tomography of Tropical Forests. Surveys in Geophysics. 40(4). 779–801. 33 indexed citations
15.
Minh, Dinh Ho Tong, Thuy Le Toan, F. Rocca, et al.. (2016). SAR tomography for the retrieval of forest biomass and height: Cross-validation at two tropical forest sites in French Guiana. Remote Sensing of Environment. 175. 138–147. 131 indexed citations
16.
Mermoz, Stéphane, Maxime Réjou‐Méchain, Ludovic Villard, et al.. (2015). Decrease of L-band SAR backscatter with biomass of dense forests. Remote Sensing of Environment. 159. 307–317. 120 indexed citations
17.
Borderies, P., C. Albinet, Thierry Koleck, et al.. (2014). Temporal Coherence of Tropical Forests at P-Band: Dry and Rainy Seasons. IEEE Geoscience and Remote Sensing Letters. 12(3). 557–561. 16 indexed citations
18.
19.
Villard, Ludovic. (2009). Forward and Inverse Modeling for Synthetic Aperture Radar Observables in Bistatic Configuration. Applications in Forest Remote Sensing. elib (German Aerospace Center). 2 indexed citations
20.
Villard, Ludovic, et al.. (2007). Bistatic border effects modelling in forest scattering. 3. 2354–2357. 3 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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