Stéphane Mermoz

3.2k total citations · 1 hit paper
46 papers, 2.0k citations indexed

About

Stéphane Mermoz is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, Stéphane Mermoz has authored 46 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Environmental Engineering, 21 papers in Ecology and 16 papers in Global and Planetary Change. Recurrent topics in Stéphane Mermoz's work include Remote Sensing and LiDAR Applications (25 papers), Remote Sensing in Agriculture (17 papers) and Soil Moisture and Remote Sensing (11 papers). Stéphane Mermoz is often cited by papers focused on Remote Sensing and LiDAR Applications (25 papers), Remote Sensing in Agriculture (17 papers) and Soil Moisture and Remote Sensing (11 papers). Stéphane Mermoz collaborates with scholars based in France, United States and Netherlands. Stéphane Mermoz's co-authors include Thuy Le Toan, Alexandre Bouvet, Milena Planells, Jean-François Dejoux, Amanda Veloso, Éric Ceschia, Ludovic Villard, Maxime Réjou‐Méchain, Thierry Koleck and Yann H. Kerr and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Remote Sensing of Environment.

In The Last Decade

Stéphane Mermoz

44 papers receiving 2.0k citations

Hit Papers

Understanding the temporal behavior of crops using Sentin... 2017 2026 2020 2023 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stéphane Mermoz France 21 1.2k 1.1k 719 402 309 46 2.0k
Alexandre Bouvet France 20 1.3k 1.1× 1.1k 0.9× 761 1.1× 463 1.2× 199 0.6× 48 2.2k
Dominique Guyon France 26 927 0.8× 1.3k 1.1× 631 0.9× 371 0.9× 421 1.4× 44 2.1k
Maxim Shoshany Israel 27 998 0.8× 706 0.6× 843 1.2× 384 1.0× 353 1.1× 100 2.2k
Tuomas Häme Finland 23 1.0k 0.9× 1.1k 0.9× 574 0.8× 274 0.7× 323 1.0× 82 1.8k
Erxue Chen China 20 821 0.7× 913 0.8× 363 0.5× 243 0.6× 354 1.1× 134 1.4k
Jianbo Qi China 25 1.6k 1.3× 2.0k 1.8× 781 1.1× 353 0.9× 436 1.4× 99 2.8k
Temuulen Tsagaan Sankey United States 28 1.3k 1.1× 1.1k 0.9× 1.1k 1.5× 384 1.0× 461 1.5× 73 2.4k
Mihai A. Tanase Spain 28 1.2k 1.0× 1.2k 1.1× 1.5k 2.1× 428 1.1× 413 1.3× 81 2.5k
C. Jeganathan India 19 1.5k 1.3× 897 0.8× 1.1k 1.5× 452 1.1× 196 0.6× 67 2.2k
Takeshi Motohka Japan 20 832 0.7× 637 0.6× 513 0.7× 238 0.6× 130 0.4× 88 1.5k

Countries citing papers authored by Stéphane Mermoz

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Mermoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Mermoz

This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane Mermoz. A scholar is included among the top collaborators of Stéphane Mermoz 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 Stéphane Mermoz. Stéphane Mermoz 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.
Mialon, Arnaud, Stéphane Mermoz, Nemesio Rodríguez-Fernández, et al.. (2025). Aboveground biomass dataset from SMOS L-band vegetation optical depth and reference maps. Earth system science data. 17(3). 1101–1119. 2 indexed citations
3.
Doblas, Juan, Stéphane Mermoz, Cláudio Almeida, et al.. (2024). DETER-RT: The new INPE-TropiSCO deforestation monitoring system in the Amazon biome. SHILAP Revista de lepidopterología. XLVIII-3-2024. 127–133. 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.
Mialon, Arnaud, Philippe Richaume, Stéphane Mermoz, et al.. (2023). Above-Ground Biomass Estimation Based on Multi-Angular L-Band Measurements of Brightness Temperatures. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 5813–5827. 3 indexed citations
6.
Mialon, Arnaud, et al.. (2022). Monitoring post-fire recovery of various vegetation biomes using multi-wavelength satellite remote sensing. Biogeosciences. 19(13). 3317–3336. 23 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
9.
Mialon, Arnaud, Nemesio Rodríguez-Fernández, Maurizio Santoro, et al.. (2020). Evaluation of the Sensitivity of SMOS L-VOD to Forest Above-Ground Biomass at Global Scale. Remote Sensing. 12(9). 1450–1450. 37 indexed citations
10.
Réjou‐Méchain, Maxime, Nicolas Barbier, Pierre Couteron, et al.. (2019). Upscaling Forest Biomass from Field to Satellite Measurements: Sources of Errors and Ways to Reduce Them. Surveys in Geophysics. 40(4). 881–911. 88 indexed citations
11.
Ferrant, Sylvain, Michel Le Page, Ahmad Al Bitar, et al.. (2019). SENTINEL-1&2 FOR NEAR REAL TIME CROPPING PATTERN MONITORING IN DROUGHT PRONE AREAS. APPLICATION TO IRRIGATION WATER NEEDS IN TELANGANA, SOUTH-INDIA. SHILAP Revista de lepidopterología. XLII-3/W6. 285–292. 6 indexed citations
12.
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
13.
Santoro, Maurizio, Oliver Cartus, Stéphane Mermoz, et al.. (2018). A detailed portrait of the forest aboveground biomass pool for the year 2010 obtained from multiple remote sensing observations. EGU General Assembly Conference Abstracts. 18932. 13 indexed citations
14.
Rodríguez-Fernández, Nemesio, Arnaud Mialon, Stéphane Mermoz, et al.. (2018). The high sensitivity of SMOS L-Band vegetation optical depth to biomass. Research at the University of Copenhagen (University of Copenhagen). 7 indexed citations
15.
Hoffmann, Samuel, Alessandro Chiarucci, Severin D. H. Irl, et al.. (2018). Remote sensing of β‐diversity: Evidence from plant communities in a semi‐natural system. Applied Vegetation Science. 22(1). 13–26. 27 indexed citations
16.
Rodríguez-Fernández, Nemesio, Arnaud Mialon, Stéphane Mermoz, et al.. (2018). An evaluation of SMOS L-band vegetation optical depth (L-VOD) data sets: high sensitivity of L-VOD to above-ground biomass in Africa. Biogeosciences. 15(14). 4627–4645. 108 indexed citations
17.
Ferrant, Sylvain, Michel Le Page, Pierre‐Alexis Herrault, et al.. (2017). Detection of Irrigated Crops from Sentinel-1 and Sentinel-2 Data to Estimate Seasonal Groundwater Use in South India. Remote Sensing. 9(11). 1119–1119. 82 indexed citations
18.
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
20.
Mermoz, Stéphane, et al.. (2009). Classification of river ice using polarimetric SAR data. Canadian Journal of Remote Sensing. 35(5). 460–473. 22 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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