Milena Planells

1.1k total citations · 1 hit paper
15 papers, 788 citations indexed

About

Milena Planells is a scholar working on Ecology, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Milena Planells has authored 15 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, 8 papers in Environmental Engineering and 5 papers in Atmospheric Science. Recurrent topics in Milena Planells's work include Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (6 papers) and Forest ecology and management (3 papers). Milena Planells is often cited by papers focused on Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (6 papers) and Forest ecology and management (3 papers). Milena Planells collaborates with scholars based in France, Brazil and Belgium. Milena Planells's co-authors include Éric Ceschia, Thuy Le Toan, Stéphane Mermoz, Alexandre Bouvet, Jean-François Dejoux, Amanda Veloso, David Morin, Silvia Valero, Ludovic Arnaud and Ludovic Villard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Remote Sensing.

In The Last Decade

Milena Planells

13 papers receiving 768 citations

Hit Papers

Understanding the temporal behavior of crops using Sentin... 2017 2026 2020 2023 2017 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications
    2017 629 citations Amanda Veloso, Stéphane Mermoz et al. Remote Sensing of Environment profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milena Planells France 7 549 404 214 189 180 15 788
Sibylle Itzerott Germany 15 513 0.9× 296 0.7× 265 1.2× 211 1.1× 135 0.8× 34 826
Chunhua Liao Canada 16 557 1.0× 365 0.9× 264 1.2× 214 1.1× 179 1.0× 34 910
Claire Marais-Sicre France 8 520 0.9× 323 0.8× 232 1.1× 230 1.2× 144 0.8× 18 698
Amanda Veloso France 5 472 0.9× 320 0.8× 203 0.9× 181 1.0× 164 0.9× 6 695
Diego de Abelleyra Argentina 12 401 0.7× 172 0.4× 280 1.3× 213 1.1× 111 0.6× 30 736
Andrea Ehammer Denmark 11 512 0.9× 339 0.8× 448 2.1× 91 0.5× 188 1.0× 13 957
Emile Ndikumana France 5 363 0.7× 189 0.5× 113 0.5× 161 0.9× 147 0.8× 7 544
Valentine Lebourgeois France 11 668 1.2× 290 0.7× 333 1.6× 386 2.0× 136 0.8× 18 968
Yanling Ding China 14 473 0.9× 325 0.8× 266 1.2× 140 0.7× 139 0.8× 33 664
Francesco Nutini Italy 15 622 1.1× 320 0.8× 389 1.8× 262 1.4× 164 0.9× 31 908

Countries citing papers authored by Milena Planells

Since Specialization
Citations

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

Fields of papers citing papers by Milena Planells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milena Planells

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

All Works

15 of 15 papers shown
1.
Morin, David, et al.. (2025). Tree Species Classification at the Pixel Level Using Deep Learning and Multispectral Time Series in an Imbalanced Context. Remote Sensing. 17(7). 1190–1190. 4 indexed citations
2.
Morin, David, et al.. (2024). Apport de la télédétection pour la cartographie du dépérissement forestier des chênes en région Centre-Val de Loire. SHILAP Revista de lepidopterología. 75(2). 171–183.
3.
Morin, David, et al.. (2024). Mapping the Dieback of Several Tree Species in Centre of France Using Sentinel-2 Derived Indices : a Preliminary Analysis. SPIRE - Sciences Po Institutional REpository. 4548–4552. 1 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.
Mermoz, Stéphane, Juan Doblas, Milena Planells, et al.. (2024). Submonthly Assessment of Temperate Forest Clear-Cuts in Mainland France. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 13743–13764. 3 indexed citations
6.
Morin, David, et al.. (2023). Toward an Operational Monitoring of Oak Dieback With Multispectral Satellite Time Series: A Case Study in Centre-Val De Loire Region of France. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 643–659. 8 indexed citations
7.
Morin, David, Milena Planells, Nicolas Baghdadi, et al.. (2022). Improving Heterogeneous Forest Height Maps by Integrating GEDI-Based Forest Height Information in a Multi-Sensor Mapping Process. Remote Sensing. 14(9). 2079–2079. 27 indexed citations
8.
Valero, Silvia, Ludovic Arnaud, Milena Planells, & Éric Ceschia. (2021). Synergy of Sentinel-1 and Sentinel-2 Imagery for Early Seasonal Agricultural Crop Mapping. Remote Sensing. 13(23). 4891–4891. 31 indexed citations
9.
Valero, Silvia, Ludovic Arnaud, Milena Planells, Éric Ceschia, & Gérard Dedieu. (2019). Sentinel’s Classifier Fusion System for Seasonal Crop Mapping. SPIRE - Sciences Po Institutional REpository. 6243–6246. 7 indexed citations
10.
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
11.
Robertson, Laura Dingle, Milena Planells, Silvia Valero, et al.. (2019). Using Dense Time-Series of C-Band Sar Imagery for Classification of Diverse, Worldwide Agricultural Systems. SPIRE - Sciences Po Institutional REpository. 6231–6234. 4 indexed citations
12.
Satalino, Giuseppe, Francesco Mattia, Anna Balenzano, et al.. (2018). Sentinel-1 & Sentinel-2 Data for Soil Tillage Change Detection. 6627–6630. 14 indexed citations
13.
Veloso, Amanda, Stéphane Mermoz, Alexandre Bouvet, et al.. (2017). Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications. Remote Sensing of Environment. 199. 415–426. 629 indexed citations breakdown →
14.
Tison, C., Danièle Hauser, Lauriane Delaye, et al.. (2015). Processing of the CFOSAT-SWIM data: Algorithm prototyping and simulations. 18. 5328–5331.
15.
Planells, Milena, et al.. (2006). Bridging the Digital Divide. 4 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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