Rubén G. Mateo

3.5k total citations · 1 hit paper
55 papers, 2.5k citations indexed

About

Rubén G. Mateo is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Rubén G. Mateo has authored 55 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Ecological Modeling, 27 papers in Nature and Landscape Conservation and 24 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Rubén G. Mateo's work include Species Distribution and Climate Change (34 papers), Ecology and Vegetation Dynamics Studies (26 papers) and Wildlife Ecology and Conservation (15 papers). Rubén G. Mateo is often cited by papers focused on Species Distribution and Climate Change (34 papers), Ecology and Vegetation Dynamics Studies (26 papers) and Wildlife Ecology and Conservation (15 papers). Rubén G. Mateo collaborates with scholars based in Spain, Switzerland and Belgium. Rubén G. Mateo's co-authors include Jesús Muñoz, Antoine Guisan, Ángel M. Felicísimo, Olivier Broennimann, Julien Pottier, Nicolas Salamin, Blaise Petitpierre, Manuela D‘Amen, Loïc Pellissier and Anne Dubuis and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Rubén G. Mateo

52 papers receiving 2.4k citations

Hit Papers

ecospat: an R package to support spatial analyses and mod... 2016 2026 2019 2022 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rubén G. Mateo Spain 24 1.5k 1.0k 916 910 449 55 2.5k
Jan O. Engler Germany 23 1.5k 1.0× 1.2k 1.2× 527 0.6× 818 0.9× 528 1.2× 57 2.4k
Julien Pottier Switzerland 20 1.9k 1.2× 1.2k 1.2× 1.3k 1.4× 1.8k 2.0× 390 0.9× 25 3.1k
Petr Keil Czechia 26 1.1k 0.7× 1.1k 1.1× 838 0.9× 1.1k 1.2× 326 0.7× 54 2.5k
Bruno Vilela Brazil 15 1.5k 1.0× 1.0k 1.0× 696 0.8× 744 0.8× 450 1.0× 53 2.4k
Manuela D‘Amen Italy 21 1.5k 1.0× 1.2k 1.2× 639 0.7× 935 1.0× 438 1.0× 49 2.4k
Anne Dubuis Switzerland 19 1.9k 1.2× 1.2k 1.2× 1.4k 1.6× 1.9k 2.1× 413 0.9× 27 3.3k
Caroline M. Tucker Canada 18 821 0.5× 1.0k 1.0× 1.1k 1.2× 1.6k 1.7× 278 0.6× 27 2.6k
Ignacio Morales‐Castilla Spain 24 929 0.6× 1.2k 1.2× 777 0.8× 724 0.8× 358 0.8× 53 2.4k
Joanne Clavel France 13 774 0.5× 1.4k 1.4× 897 1.0× 1.2k 1.3× 307 0.7× 30 2.8k
Brian L. Anacker United States 24 1.1k 0.7× 1.0k 1.0× 1.3k 1.4× 1.6k 1.7× 481 1.1× 30 3.2k

Countries citing papers authored by Rubén G. Mateo

Since Specialization
Citations

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

Fields of papers citing papers by Rubén G. Mateo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rubén G. Mateo

This figure shows the co-authorship network connecting the top 25 collaborators of Rubén G. Mateo. A scholar is included among the top collaborators of Rubén G. Mateo 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 G. Mateo. Rubén G. Mateo 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.
Guisan, Antoine, Mathieu Chevalier, Antoine Adde, et al.. (2025). Spatially nested species distribution models (N‐ SDM ): An effective tool to overcome niche truncation for more robust inference and projections. Journal of Ecology. 113(7). 1588–1605. 6 indexed citations
2.
Adde, Antoine, Olivier Broennimann, Juan Ignacio García‐Viñás, et al.. (2024). Spatially‐nested hierarchical species distribution models to overcome niche truncation in national‐scale studies. Ecography. 2025(3). 8 indexed citations
3.
Mateo, Rubén G., et al.. (2024). sabinaNSDM : An R package for spatially nested hierarchical species distribution modelling. Methods in Ecology and Evolution. 15(10). 1796–1803. 4 indexed citations
4.
5.
Romo, Helena, Enrique García‐Barros, Robert J. Wilson, Rubén G. Mateo, & Miguel L. Munguira. (2023). Modelling the scope to conserve an endemic‐rich mountain butterfly taxon in a changing climate. Insect Conservation and Diversity. 16(4). 451–467. 7 indexed citations
6.
7.
Mateo, Rubén G., Gabriel Arellano, Virgilio Gómez‐Rubio, et al.. (2022). Insights on biodiversity drivers to predict species richness in tropical forests at the local scale. Ecological Modelling. 473. 110133–110133. 3 indexed citations
8.
Picó, F. Xavier, et al.. (2022). Unravelling plant diversification: Intraspecific genetic differentiation in hybridizing Anacyclus species in the western Mediterranean Basin. American Journal of Botany. 110(2). e16121–e16121. 7 indexed citations
9.
Zhang, Shangzhe, Xin Du, Rubén G. Mateo, et al.. (2021). Genomic analysis of Medicago ruthenica provides insights into its tolerance to abiotic stress and demographic history. Molecular Ecology Resources. 21(5). 1641–1657. 24 indexed citations
10.
Mestanza-Ramón, Carlos, et al.. (2021). Estimation of Current and Future Suitable Areas for Tapirus pinchaque in Ecuador. Sustainability. 13(20). 11486–11486. 5 indexed citations
11.
Collart, Flavien, Olivier Broennimann, Rubén G. Mateo, et al.. (2020). Bryophytes are predicted to lag behind future climate change despite their high dispersal capacities. Nature Communications. 11(1). 5601–5601. 63 indexed citations
12.
Fajardo, Javier Antonio Tamayo, Rubén G. Mateo, Pablo Vargas, et al.. (2019). The role of abiotic mechanisms of long‐distance dispersal in the American origin of the Galápagos flora. Global Ecology and Biogeography. 28(11). 1610–1620. 15 indexed citations
13.
Mateo, Rubén G., et al.. (2019). Looking for an optimal hierarchical approach for ecologically meaningful niche modelling. Ecological Modelling. 409. 108735–108735. 25 indexed citations
14.
Mateo, Rubén G., Aitor Gastón, Olivier Broennimann, et al.. (2019). Hierarchical species distribution models in support of vegetation conservation at the landscape scale. Journal of Vegetation Science. 30(2). 386–396. 47 indexed citations
15.
Mateo, Rubén G., et al.. (2018). Optimization of forest sampling strategies for woody plant species distribution modelling at the landscape scale. Forest Ecology and Management. 410. 104–113. 16 indexed citations
16.
Mateo, Rubén G., Karel Mokany, & Antoine Guisan. (2017). Biodiversity Models: What If Unsaturation Is the Rule?. Trends in Ecology & Evolution. 32(8). 556–566. 62 indexed citations
17.
Varela, Sara, Rubén G. Mateo, Raúl García‐Valdés, & Federico Fernández‐González. (2014). Macroecología y ecoinformática: sesgos, errores y predicciones en el modelado de distribuciones. SHILAP Revista de lepidopterología. 3 indexed citations
18.
Mateo, Rubén G., Olivier Broennimann, Blaise Petitpierre, et al.. (2014). From climatic niche conservatism to spatial predictions: what can invasive mosses tell us?. Open Repository and Bibliography (University of Liège). 2 indexed citations
19.
Mateo, Rubén G., et al.. (2010). Simethis mattiazzi (Vandelli) Saccardo [(= S. planifolia (G.) Gren.], redescubierta para la flora de Castilla-La Mancha (España). Acta Botanica Malacitana. 148–150. 1 indexed citations
20.
Mateo, Rubén G., et al.. (2005). Algunas plantas de interés corológico para la comarca de la Sierra de San Vicente (Toledo, España). Botanica Complutensis. 28(28). 79–83. 2 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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