Rubén Manso

616 total citations
36 papers, 459 citations indexed

About

Rubén Manso is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Rubén Manso has authored 36 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Nature and Landscape Conservation, 21 papers in Global and Planetary Change and 11 papers in Environmental Engineering. Recurrent topics in Rubén Manso's work include Forest ecology and management (26 papers), Ecology and Vegetation Dynamics Studies (13 papers) and Forest Management and Policy (13 papers). Rubén Manso is often cited by papers focused on Forest ecology and management (26 papers), Ecology and Vegetation Dynamics Studies (13 papers) and Forest Management and Policy (13 papers). Rubén Manso collaborates with scholars based in United Kingdom, France and Spain. Rubén Manso's co-authors include Mathieu Fortin, Rafael Calama, Marta Pardos, François Ningre, François Morneau, Felipe Bravo, Manuel Esteban Lucas‐Borja, Robert Schneider, Jari Miina and Timo Pukkala and has published in prestigious journals such as Forest Ecology and Management, Ecological Modelling and Computers and Electronics in Agriculture.

In The Last Decade

Rubén Manso

33 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rubén Manso United Kingdom 14 370 281 77 71 70 36 459
Ladislav Kulla Slovakia 11 323 0.9× 280 1.0× 171 2.2× 57 0.8× 79 1.1× 30 458
Josianne DeBlois Canada 13 351 0.9× 265 0.9× 46 0.6× 68 1.0× 47 0.7× 25 426
Duncan S. Wilson United States 13 341 0.9× 351 1.2× 52 0.7× 57 0.8× 124 1.8× 21 513
Marie-Claude Lambert Canada 12 290 0.8× 260 0.9× 80 1.0× 108 1.5× 67 1.0× 23 413
Daniel Moreno‐Fernández Spain 14 265 0.7× 222 0.8× 100 1.3× 85 1.2× 98 1.4× 37 422
John‐Pascal Berrill United States 13 349 0.9× 313 1.1× 31 0.4× 35 0.5× 60 0.9× 54 426
Vladimír Šebeň Slovakia 13 435 1.2× 378 1.3× 163 2.1× 57 0.8× 78 1.1× 59 577
Sonja Vospernik Austria 12 363 1.0× 294 1.0× 82 1.1× 71 1.0× 134 1.9× 30 489
Jean-Pierre Saucier Canada 11 209 0.6× 206 0.7× 51 0.7× 49 0.7× 90 1.3× 14 349
Jürgen Zell Switzerland 12 250 0.7× 230 0.8× 41 0.5× 113 1.6× 65 0.9× 19 397

Countries citing papers authored by Rubén Manso

Since Specialization
Citations

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

Fields of papers citing papers by Rubén Manso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rubén Manso

This figure shows the co-authorship network connecting the top 25 collaborators of Rubén Manso. A scholar is included among the top collaborators of Rubén Manso 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 Manso. Rubén Manso 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.
Manso, Rubén & Carlos Çabo. (2024). An algorithm for robust tree detection in ground-based point clouds based on classical mechanics. Computers and Electronics in Agriculture. 229. 109750–109750.
2.
Manso, Rubén, et al.. (2024). Volume prediction of young improved Sitka spruce trees in Great Britain through Bayesian model averaging. Forestry An International Journal of Forest Research. 2 indexed citations
3.
Manso, Rubén, et al.. (2024). Height increment patterns in Pinus pinaster seedlings emerging in naturally regenerated gaps. Forestry An International Journal of Forest Research. 97(4). 635–648.
4.
Netto, Sylvio Péllico, et al.. (2023). UNCERTAINTY ASSESSMENT IN VOLUME AND BIOMASS ESTIMATIONS IN FOREST STANDS. FLORESTA. 53(4). 548–548.
5.
Manso, Rubén, et al.. (2020). Dynamic top height models for several major forest tree species in Great Britain. Forestry An International Journal of Forest Research. 94(2). 181–192. 11 indexed citations
6.
Manso, Rubén, et al.. (2019). Estimation of individual knot volumes by mixed-effects modelling. Canadian Journal of Forest Research. 50(2). 81–88. 7 indexed citations
7.
Manso, Rubén, Gauthier Ligot, & Mathieu Fortin. (2019). A recruitment model for beech–oak pure and mixed stands in Belgium. Forestry An International Journal of Forest Research. 93(1). 124–132. 9 indexed citations
8.
Manso, Rubén, François Ningre, & Mathieu Fortin. (2018). Simultaneous Prediction of Plot-Level and Tree-Level Harvest Occurrences with Correlated Random Effects. Forest Science. 64(5). 461–470. 11 indexed citations
9.
Pichancourt, Jean‐Baptiste, Rubén Manso, François Ningre, & Mathieu Fortin. (2018). A carbon accounting tool for complex and uncertain greenhouse gas emission life cycles. Environmental Modelling & Software. 107. 158–174. 14 indexed citations
10.
Calama, Rafael, Rubén Manso, Javier Gordo, et al.. (2017). Which models are needed for Pinus pinea forests? A review on current state and potential use.. 27–42. 1 indexed citations
11.
12.
Calama, Rafael, Mathieu Fortin, Marta Pardos, & Rubén Manso. (2017). Modelling spatiotemporal dynamics of Pinus pinea cone infestation by Dioryctria mendacella. Forest Ecology and Management. 389. 136–148. 16 indexed citations
13.
Melo, L. C., Robert Schneider, Rubén Manso, Jean-Pierre Saucier, & Mathieu Fortin. (2017). Using survival analysis to predict the harvesting of forest stands in Quebec, Canada. Canadian Journal of Forest Research. 47(8). 1066–1074. 8 indexed citations
14.
Dumarçay, Stéphane, et al.. (2016). Les noeuds : un bois méconnu et une source importante de composés extractibles. Revue Forestière Française. 3 indexed citations
15.
Fortin, Mathieu, Nicolas Robert, & Rubén Manso. (2016). Uncertainty assessment of large-scale forest growth predictions based on a transition-matrix model in Catalonia. Annals of Forest Science. 73(4). 871–883. 6 indexed citations
16.
Calama, Rafael, Rubén Manso, Javier Gordo, et al.. (2015). DO INTER-SPECIFIC DIFFERENCES IN SEED SIZE DETERMINE NATURAL REGENERATION TRAITS IN PINUS PINEA AND PINUS SYLVESTRIS?. Applied Ecology and Environmental Research. 13(2). 5 indexed citations
17.
Manso, Rubén, François Morneau, François Ningre, & Mathieu Fortin. (2015). Effect of climate and intra- and inter-specific competition on diameter increment in beech and oak stands. Forestry An International Journal of Forest Research. 88(5). 540–551. 41 indexed citations
18.
Manso, Rubén, Marta Pardos, & Rafael Calama. (2014). ‘Climatic factors control rodent seed predation in Pinus pinea L. stands in Central Spain’. Annals of Forest Science. 71(8). 873–883. 17 indexed citations
19.
Manso, Rubén, Timo Pukkala, Marta Pardos, Jari Miina, & Rafael Calama. (2013). Modelling Pinus pinea forest management to attain natural regeneration under present and future climatic scenarios. Canadian Journal of Forest Research. 44(3). 250–262. 33 indexed citations
20.
Manso, Rubén, Mathieu Fortin, Rafael Calama, & Marta Pardos. (2012). Modelling seed germination in forest tree species through survival analysis. The Pinus pinea L. case study. Forest Ecology and Management. 289. 515–524. 32 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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