Laurent Ferro-Famil

3.6k total citations
108 papers, 2.2k citations indexed

About

Laurent Ferro-Famil is a scholar working on Aerospace Engineering, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Laurent Ferro-Famil has authored 108 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Aerospace Engineering, 49 papers in Environmental Engineering and 23 papers in Atmospheric Science. Recurrent topics in Laurent Ferro-Famil's work include Synthetic Aperture Radar (SAR) Applications and Techniques (81 papers), Advanced SAR Imaging Techniques (45 papers) and Soil Moisture and Remote Sensing (42 papers). Laurent Ferro-Famil is often cited by papers focused on Synthetic Aperture Radar (SAR) Applications and Techniques (81 papers), Advanced SAR Imaging Techniques (45 papers) and Soil Moisture and Remote Sensing (42 papers). Laurent Ferro-Famil collaborates with scholars based in France, Italy and Germany. Laurent Ferro-Famil's co-authors include Éric Pottier, Andreas Reigber, Jong‐Sen Lee, M.R. Grunes, Maxim Neumann, Yué Huang, Stefano Tebaldini, Andreas Reigber, Thomas L. Ainsworth and Mauro Mariotti d’Alessandro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Laurent Ferro-Famil

97 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laurent Ferro-Famil France 23 1.9k 996 419 342 300 108 2.2k
Pascale Dubois-Fernandez France 22 1.3k 0.7× 795 0.8× 352 0.8× 182 0.5× 78 0.3× 66 1.6k
Yasser Maghsoudi Iran 20 914 0.5× 449 0.5× 303 0.7× 156 0.5× 247 0.8× 87 1.4k
Kostas Papathanassiou Germany 21 2.1k 1.1× 1.8k 1.8× 787 1.9× 173 0.5× 109 0.4× 78 3.0k
Jean‐Claude Souyris France 15 1.1k 0.6× 581 0.6× 299 0.7× 196 0.6× 215 0.7× 54 1.4k
Thomas Jagdhuber Germany 24 1.1k 0.6× 1.6k 1.6× 966 2.3× 256 0.7× 81 0.3× 147 2.2k
Nico Adam Germany 21 1.5k 0.8× 695 0.7× 545 1.3× 284 0.8× 54 0.2× 117 1.7k
Stefano Tebaldini Italy 30 2.8k 1.5× 1.7k 1.7× 699 1.7× 387 1.1× 57 0.2× 200 3.4k
D.L. Schuler United States 21 1.9k 1.0× 1.1k 1.1× 490 1.2× 286 0.8× 534 1.8× 58 2.4k
Rolf Scheiber Germany 31 3.7k 2.0× 1.1k 1.1× 665 1.6× 615 1.8× 106 0.4× 210 4.1k
Paul Siqueira United States 23 1.1k 0.6× 1.2k 1.2× 589 1.4× 110 0.3× 104 0.3× 124 2.2k

Countries citing papers authored by Laurent Ferro-Famil

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Ferro-Famil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurent Ferro-Famil. 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 Laurent Ferro-Famil. The network helps show where Laurent Ferro-Famil may publish in the future.

Co-authorship network of co-authors of Laurent Ferro-Famil

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Ferro-Famil. A scholar is included among the top collaborators of Laurent Ferro-Famil 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 Laurent Ferro-Famil. Laurent Ferro-Famil 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.
Zhou, Yongsheng, et al.. (2024). Polarimetric SAR cross-calibration method based on stable distributed targets. Geo-spatial Information Science. 27(3). 773–793. 1 indexed citations
2.
Minh, Dinh Ho Tong, et al.. (2024). Exploring Forest Vertical Structure With TomoSense: GEDI and SAR Tomography Insights. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12.
3.
Ferro-Famil, Laurent, et al.. (2024). Tropical and Temperate Forest Characterization by Parametric P-Band SAR Tomography with Low Dimensional Models. SPIRE - Sciences Po Institutional REpository. 1345–1349. 1 indexed citations
4.
Denis, Laurent, et al.. (2023). A Deep-Learning Approach for SAR Tomographic Imaging of Forested Areas. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 7 indexed citations
5.
Minh, Dinh Ho Tong, et al.. (2023). Exploring Tropical Forests With GEDI and 3-D SAR Tomography. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 2 indexed citations
6.
Ferro-Famil, Laurent, et al.. (2023). Comparison of Imaging Radar Configurations for Roadway Inspection and Characterization. Sensors. 23(20). 8522–8522. 1 indexed citations
7.
Ferro-Famil, Laurent, Stéphane Avrillon, Wolfgang Dierking, et al.. (2023). Overview of Ground-Based Radar Measurements of Snow-Covered Sea-Ice Led During the 2022 CIRFA Arctic Cruise. SPIRE - Sciences Po Institutional REpository. 64–66. 1 indexed citations
8.
D’Errico, Raffaele, et al.. (2023). Improving azimuth resolution of GPR with small array aperture in near field. IET conference proceedings.. 2022(17). 673–678.
9.
Ferro-Famil, Laurent, et al.. (2022). Forest structure characterization using SAR tomography and an adaptive estimation technique. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
10.
D’Errico, Raffaele, et al.. (2022). High Resolution Focusing for Near-field GPR Imaging using Spectral Analysis Techniques. 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI). 13. 529–530.
11.
Longépé, Nicolas, Alexis Mouche, Laurent Ferro-Famil, & Romain Husson. (2021). Co-Cross-Polarization Coherence Over the Sea Surface From Sentinel-1 SAR Data: Perspectives for Mission Calibration and Wind Field Retrieval. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 8 indexed citations
12.
Budillon, Alessandra, Laurent Denis, Florence Tupin, et al.. (2020). Table of Contents. IEEE Geoscience and Remote Sensing Magazine. 8(2). 1–2. 1 indexed citations
13.
Petrich, Chris, Camilla Brekke, Sönke Maus, et al.. (2019). Mosideo/cirfa tank experiments on behavior and detection of oil in ice. Munin Open Research Archive (The Arctic University of Norway). 1 indexed citations
14.
15.
Dierking, Wolfgang, et al.. (2018). Validation of Sea-Ice Topographic Heights Derived From TanDEM-X Interferometric SAR Data With Results From Laser Profiler and Photogrammetry. IEEE Transactions on Geoscience and Remote Sensing. 56(11). 6504–6520. 17 indexed citations
16.
Davy, Matthieu, et al.. (2016). Snowpack permittivity profile retrieval from tomographic SAR data. Comptes Rendus Physique. 18(1). 57–65. 30 indexed citations
17.
Tebaldini, Stefano, F. Rocca, Mauro Mariotti d’Alessandro, & Laurent Ferro-Famil. (2015). Phase Calibration of Airborne Tomographic SAR Data via Phase Center Double Localization. IEEE Transactions on Geoscience and Remote Sensing. 54(3). 1775–1792. 93 indexed citations
18.
Hu, Canbin, Laurent Ferro-Famil, & Gangyao Kuang. (2013). Ship Discrimination Using Polarimetric SAR Data and Coherent Time-Frequency Analysis. Remote Sensing. 5(12). 6899–6920. 19 indexed citations
19.
Ferro-Famil, Laurent & Marco Lavalle. (2009). Detection and analysis of urban areas using ALOS PALSAR polarimetric data. V–142. 6 indexed citations
20.
Pottier, Éric, et al.. (2003). Land cover classification using polarimetric SAR data. Socio-Environmental Systems Modeling. 529. 13 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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