Rubén Ramo

1.6k total citations · 2 hit papers
14 papers, 1.1k citations indexed

About

Rubén Ramo is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Rubén Ramo has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 9 papers in Ecology and 4 papers in Environmental Engineering. Recurrent topics in Rubén Ramo's work include Fire effects on ecosystems (10 papers), Remote Sensing in Agriculture (8 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). Rubén Ramo is often cited by papers focused on Fire effects on ecosystems (10 papers), Remote Sensing in Agriculture (8 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). Rubén Ramo collaborates with scholars based in Spain, United Kingdom and Colombia. Rubén Ramo's co-authors include Emilio Chuvieco, Joshua Lizundia-Loiola, Gonzalo Otón, Aitor Bastarrika, Kevin Tansey, Marc Padilla, Guido R. van der Werf, Ekhi Roteta, Ioannis Bistinas and Dave van Wees and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Remote Sensing of Environment and International Journal of Remote Sensing.

In The Last Decade

Rubén Ramo

13 papers receiving 1.1k citations

Hit Papers

A spatio-temporal active-fire clustering approach for glo... 2019 2026 2021 2023 2019 2021 50 100 150 200 250
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. A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data
    2019 263 citations Joshua Lizundia-Loiola, Gonzalo Otón et al. Remote Sensing of Environment profile →
  2. African burned area and fire carbon emissions are strongly impacted by small fires undetected by coarse resolution satellite data
    2021 194 citations Rubén Ramo, Ekhi Roteta et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rubén Ramo Spain 9 1.0k 640 215 196 173 14 1.1k
Aitor Bastarrika Spain 12 1.2k 1.2× 834 1.3× 420 2.0× 161 0.8× 197 1.1× 18 1.4k
Ekhi Roteta Spain 8 675 0.6× 407 0.6× 146 0.7× 122 0.6× 125 0.7× 10 723
E. Natasha Stavros United States 14 626 0.6× 289 0.5× 151 0.7× 176 0.9× 109 0.6× 36 829
Ana C. L. Sá Portugal 18 750 0.7× 315 0.5× 166 0.8× 123 0.6× 119 0.7× 29 831
Duarte Oom Portugal 17 1.0k 1.0× 408 0.6× 118 0.5× 212 1.1× 191 1.1× 25 1.1k
J. Ju United States 6 761 0.7× 644 1.0× 286 1.3× 257 1.3× 59 0.3× 9 1.1k
Evan R. DeLancey Canada 12 584 0.6× 512 0.8× 261 1.2× 112 0.6× 40 0.2× 18 857
Meriame Mohajane Morocco 14 480 0.5× 192 0.3× 302 1.4× 81 0.4× 51 0.3× 19 828
C. Kenneth Brewer United States 7 463 0.4× 401 0.6× 233 1.1× 78 0.4× 31 0.2× 11 690
Zhengxiang Zhang China 14 525 0.5× 467 0.7× 166 0.8× 226 1.2× 19 0.1× 44 817

Countries citing papers authored by Rubén Ramo

Since Specialization
Citations

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

Fields of papers citing papers by Rubén Ramo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rubén Ramo

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

All Works

14 of 14 papers shown
1.
2.
Ramo, Rubén, et al.. (2025). Optimizing deep neural networks for high-resolution land cover classification through data augmentation. Environmental Monitoring and Assessment. 197(4). 423–423. 1 indexed citations
3.
Padilla, Marc, Rubén Ramo, José Gómez‐Dans, et al.. (2025). Near-real time monitoring of burned area at global scale based on deep learning. International Journal of Remote Sensing. 46(16). 5996–6038. 1 indexed citations
4.
Ramo, Rubén, C. González‐Pola, Javier Cristobo, et al.. (2023). Describing Polyps Behavior of a Deep-Sea Gorgonian, Placogorgia sp., Using a Deep-Learning Approach. Remote Sensing. 15(11). 2777–2777. 6 indexed citations
5.
Ramo, Rubén, Ekhi Roteta, Ioannis Bistinas, et al.. (2021). African burned area and fire carbon emissions are strongly impacted by small fires undetected by coarse resolution satellite data. Proceedings of the National Academy of Sciences. 118(9). 194 indexed citations breakdown →
6.
Anaya, Jesús A., et al.. (2020). About Validation-Comparison of Burned Area Products. Remote Sensing. 12(23). 3972–3972. 16 indexed citations
7.
Otón, Gonzalo, Rubén Ramo, Joshua Lizundia-Loiola, & Emilio Chuvieco. (2020). Correction: Otón, G., et al. Global Detection of Long-Term (1982–2017) Burned Area with AVHRR-LTDR Data. Remote Sensing 2019, 11, 2079. Remote Sensing. 12(14). 2324–2324. 1 indexed citations
8.
Otón, Gonzalo, Rubén Ramo, Joshua Lizundia-Loiola, & Emilio Chuvieco. (2019). Global Detection of Long-Term (1982–2017) Burned Area with AVHRR-LTDR Data. Remote Sensing. 11(18). 2079–2079. 38 indexed citations
9.
Lizundia-Loiola, Joshua, Gonzalo Otón, Rubén Ramo, & Emilio Chuvieco. (2019). A spatio-temporal active-fire clustering approach for global burned area mapping at 250 m from MODIS data. Remote Sensing of Environment. 236. 111493–111493. 263 indexed citations breakdown →
10.
Chuvieco, Emilio, Joshua Lizundia-Loiola, M. Lucrecia Pettinari, et al.. (2018). Generation and analysis of a new global burned area product based on MODIS 250 m reflectance bands and thermal anomalies. Earth system science data. 10(4). 2015–2031. 217 indexed citations
11.
Ramo, Rubén, Mariano Garcı́a, Daniel Rodríguez, & Emilio Chuvieco. (2018). A data mining approach for global burned area mapping. International Journal of Applied Earth Observation and Geoinformation. 73. 39–51. 42 indexed citations
12.
Ramo, Rubén & Emilio Chuvieco. (2017). Developing a Random Forest Algorithm for MODIS Global Burned Area Classification. Remote Sensing. 9(11). 1193–1193. 90 indexed citations
13.
Padilla, Marc, Stephen V. Stehman, Rubén Ramo, et al.. (2015). Comparing the accuracies of remote sensing global burned area products using stratified random sampling and estimation. Remote Sensing of Environment. 160. 114–121. 181 indexed citations
14.
Bastarrika, Aitor, et al.. (2014). BAMS: A Tool for Supervised Burned Area Mapping Using Landsat Data. Remote Sensing. 6(12). 12360–12380. 87 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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