Marta Yebra

5.9k total citations · 1 hit paper
99 papers, 3.9k citations indexed

About

Marta Yebra is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Marta Yebra has authored 99 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Global and Planetary Change, 59 papers in Ecology and 47 papers in Environmental Engineering. Recurrent topics in Marta Yebra's work include Fire effects on ecosystems (72 papers), Remote Sensing in Agriculture (53 papers) and Remote Sensing and LiDAR Applications (41 papers). Marta Yebra is often cited by papers focused on Fire effects on ecosystems (72 papers), Remote Sensing in Agriculture (53 papers) and Remote Sensing and LiDAR Applications (41 papers). Marta Yebra collaborates with scholars based in Australia, China and Spain. Marta Yebra's co-authors include Emilio Chuvieco, Albert I. J. M. van Dijk, David Riaño, Inmaculada Aguado, Xingwen Quan, Geoffrey J. Cary, Binbin He, Javier Salas, Mariano Garcı́a and Juan Pablo Guerschman and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Marta Yebra

95 papers receiving 3.8k citations

Hit Papers

Historical background and current developments for mappin... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marta Yebra Australia 32 3.2k 2.0k 1.3k 562 410 99 3.9k
Nikos Koutsias Greece 36 3.6k 1.1× 1.8k 0.9× 818 0.6× 761 1.4× 588 1.4× 82 4.5k
Ioannis Z. Gitas Greece 34 2.2k 0.7× 2.0k 1.0× 1.2k 1.0× 331 0.6× 368 0.9× 129 3.7k
Luigi Boschetti United States 38 4.7k 1.5× 3.0k 1.5× 1.1k 0.9× 467 0.8× 1.0k 2.5× 86 5.6k
Juan de la Riva Spain 29 2.4k 0.7× 1.2k 0.6× 1.1k 0.8× 729 1.3× 262 0.6× 108 3.1k
Sander Veraverbeke Netherlands 40 3.6k 1.1× 1.7k 0.9× 751 0.6× 464 0.8× 1.4k 3.4× 97 4.4k
Giorgos Mallinis Greece 29 1.6k 0.5× 1.3k 0.6× 972 0.8× 273 0.5× 337 0.8× 85 2.7k
David Riaño United States 39 3.4k 1.1× 3.4k 1.7× 2.7k 2.1× 356 0.6× 537 1.3× 80 5.3k
Inmaculada Aguado Spain 23 1.9k 0.6× 1.4k 0.7× 754 0.6× 354 0.6× 305 0.7× 47 2.6k
Lin Yan United States 23 1.6k 0.5× 2.0k 1.0× 1.1k 0.8× 235 0.4× 667 1.6× 38 3.1k
Carlos C. DaCamara Portugal 36 3.2k 1.0× 947 0.5× 1.1k 0.9× 262 0.5× 1.6k 4.0× 102 4.2k

Countries citing papers authored by Marta Yebra

Since Specialization
Citations

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

Fields of papers citing papers by Marta Yebra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Yebra

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Yebra. A scholar is included among the top collaborators of Marta Yebra 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 Marta Yebra. Marta Yebra 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.
Abdollahi, Abolfazl & Marta Yebra. (2025). Challenges and Opportunities in Remote Sensing-Based Fuel Load Estimation for Wildfire Behavior and Management: A Comprehensive Review. Remote Sensing. 17(3). 415–415. 5 indexed citations
2.
Schwilk, Dylan W., Md Azharul Alam, Nathan S. Gill, et al.. (2025). From plant traits to fire behavior: Scaling issues in flammability studies. American Journal of Botany. 112(10). e70040–e70040. 3 indexed citations
3.
Kranz, J., Zhao Li, Matthias Mauder, et al.. (2025). Assessing predictors for fuel moisture content in Central European forests. Agricultural and Forest Meteorology. 371. 110590–110590. 1 indexed citations
5.
Konings, Alexandra G., K. H. Rao, Anna T. Trugman, et al.. (2024). Tree species explain only half of explained spatial variability in plant water sensitivity. Global Change Biology. 30(7). e17425–e17425. 2 indexed citations
6.
Younes, Nicolás, Marta Yebra, Matthias M. Boer, Anne Griebel, & Rachael H. Nolan. (2024). A Review of Leaf-Level Flammability Traits in Eucalypt Trees. Fire. 7(6). 183–183. 13 indexed citations
7.
Alvi, Sheeraz A., et al.. (2024). A Survey on IoT Ground Sensing Systems for Early Wildfire Detection: Technologies, Challenges, and Opportunities. IEEE Access. 12. 172785–172819. 14 indexed citations
8.
Yebra, Marta, et al.. (2024). Technological solutions for living with fire in the age of megafires. One Earth. 7(6). 932–935.
9.
Forkel, Matthias, et al.. (2023). Estimating leaf moisture content at global scale from passive microwave satellite observations of vegetation optical depth. Hydrology and earth system sciences. 27(1). 39–68. 25 indexed citations
10.
Forkel, Matthias, et al.. (2023). Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties. Biogeosciences. 20(5). 1027–1046. 17 indexed citations
11.
Griebel, Anne, Matthias M. Boer, Chris J. Blackman, et al.. (2023). Specific leaf area and vapour pressure deficit control live fuel moisture content. Functional Ecology. 37(3). 719–731. 18 indexed citations
12.
Wilson, Nicholas & Marta Yebra. (2023). The Role of Climate in Ignition Frequency. Fire. 6(5). 195–195. 2 indexed citations
13.
Younes, Nicolás, Marta Yebra, Joice Mathew, & R. Sharp. (2023). OzFuel: a space-based vegetation fuel flammability monitoring system. ANU Open Research (Australian National University). 47–47. 2 indexed citations
14.
Rao, K. H., Park Williams, Noah S. Diffenbaugh, et al.. (2023). Dry Live Fuels Increase the Likelihood of Lightning‐Caused Fires. Geophysical Research Letters. 50(15). 17 indexed citations
16.
Lim, Samsung, et al.. (2019). A multiscale morphological algorithm for improvements to canopy height models. Computers & Geosciences. 130. 20–31. 4 indexed citations
17.
Dijk, Albert I. J. M. van, Jaap Schellekens, Marta Yebra, et al.. (2018). Global 5 km resolution estimates of secondary evaporation including irrigation through satellite data assimilation. Hydrology and earth system sciences. 22(9). 4959–4980. 41 indexed citations
18.
Yebra, Marta, Albert I. J. M. van Dijk, R. Leuning, Alfredo Huete, & Juan Pablo Guerschman. (2012). Evaluation of optical remote sensing to estimate evapotranspiration and canopy conductance. AGU Fall Meeting Abstracts. 2012.
19.
Chuvieco, Emilio, Inmaculada Aguado, Sara Jurdao, et al.. (2012). Integrating geospatial information into fire risk assessment. International Journal of Wildland Fire. 23(5). 606–619. 167 indexed citations
20.
Yebra, Marta, et al.. (2008). Modelos de Simulación de Reflectividad en ecología: potencialidades y problemas. SHILAP Revista de lepidopterología. 8 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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