G. Montero

2.1k total citations
97 papers, 1.4k citations indexed

About

G. Montero is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, G. Montero has authored 97 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Nature and Landscape Conservation, 24 papers in Global and Planetary Change and 23 papers in Environmental Engineering. Recurrent topics in G. Montero's work include Forest ecology and management (27 papers), Forest Management and Policy (13 papers) and Wind and Air Flow Studies (13 papers). G. Montero is often cited by papers focused on Forest ecology and management (27 papers), Forest Management and Policy (13 papers) and Wind and Air Flow Studies (13 papers). G. Montero collaborates with scholars based in Spain, Indonesia and United Kingdom. G. Montero's co-authors include Isabel Cañellas, R. Montenegro, Ricardo Ruíz‐Peinado, J.M. Escobar, Miren del Rı́o, Eduardo Rodríguez, Guillermo Gea‐Izquierdo, Rafael Calama, Mariola Sánchez‐González and Margarida Tomé and has published in prestigious journals such as Journal of Chromatography A, Energy and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

G. Montero

87 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Montero Spain 23 666 536 338 199 173 97 1.4k
Carmen Hernando Spain 25 410 0.6× 1.3k 2.5× 160 0.5× 26 0.1× 78 0.5× 110 2.5k
Jean‐Luc Dupuy France 29 362 0.5× 2.3k 4.3× 515 1.5× 282 1.4× 11 0.1× 79 2.8k
William Mell United States 27 272 0.4× 2.3k 4.3× 520 1.5× 384 1.9× 11 0.1× 80 2.8k
Rodman Linn United States 31 344 0.5× 2.3k 4.2× 635 1.9× 227 1.1× 11 0.1× 94 2.6k
Eetu Puttonen Finland 27 517 0.8× 394 0.7× 1.4k 4.1× 42 0.2× 9 0.1× 80 2.0k
Pinliang Dong United States 20 239 0.4× 272 0.5× 701 2.1× 23 0.1× 16 0.1× 64 1.2k
Shichao Jin China 27 284 0.4× 311 0.6× 1.0k 3.0× 40 0.2× 12 0.1× 69 2.0k
Arne Nothdurft Austria 21 808 1.2× 388 0.7× 852 2.5× 16 0.1× 9 0.1× 62 1.4k
Marc Jaeger France 14 87 0.1× 182 0.3× 207 0.6× 39 0.2× 173 1.0× 55 974
Peng Wan China 11 344 0.5× 142 0.3× 1.2k 3.7× 41 0.2× 11 0.1× 18 1.4k

Countries citing papers authored by G. Montero

Since Specialization
Citations

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

Fields of papers citing papers by G. Montero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Montero

This figure shows the co-authorship network connecting the top 25 collaborators of G. Montero. A scholar is included among the top collaborators of G. Montero 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 G. Montero. G. Montero 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.
Cuevas, Emilio, et al.. (2024). Dust events characterization from visibility, trends and Dust Adversity Index in the Canary Islands for the period 1980–2022. Heliyon. 10(10). e31262–e31262. 1 indexed citations
2.
3.
Rodríguez, Eduardo, María Jesús Santos Sánchez, José Manuel Cascón Barbero, et al.. (2024). Validation of a 3D Local-Scale Adaptive Solar Radiation Model by Using Pyranometer Measurements and a High-Resolution Digital Elevation Model. Sensors. 24(6). 1823–1823. 1 indexed citations
4.
Mazorra-Aguiar, Luis, et al.. (2021). Comparison of Two Solar Probabilistic Forecasting Methodologies for Microgrids Energy Efficiency. Energies. 14(6). 1679–1679. 5 indexed citations
5.
Montero, G., et al.. (2020). A Phenomenological Epidemic Model Based On the Spatio-Temporal Evolution of a Gaussian Probability Density Function. Mathematics. 8(11). 2000–2000. 4 indexed citations
6.
Heymann, Daniel, et al.. (2020). Expectations, Coordination Failures and Macro Crises. 11(1).
7.
Díaz, F., et al.. (2017). Improving shadows detection for solar radiation numerical models. Applied Mathematics and Computation. 319. 71–85. 14 indexed citations
8.
Bravo‐Oviedo, Andrés, et al.. (2013). Desfronde y tasa de Descomposición foliar en rebollar-pinar de repoblación con distinto grado de clara. UPM Digital Archive (Technical University of Madrid). 1 indexed citations
9.
Rı́o, Miren del, et al.. (2011). Modelling silviculture alternatives for managing " Pinus Pinea L." forest in North-East Spain. Forest Systems. 20(1). 2–20. 4 indexed citations
10.
Barbero, José Manuel Cascón, et al.. (2007). A New MeccanoTechnique for Adaptive 3-D Triangulations.. IMR. 103–120. 3 indexed citations
11.
Montero, G., R. Montenegro, J.M. Escobar, & Eduardo Rodríguez. (2003). Generación automática de mallas de tetraedros adaptadas a orografías irregulares. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería. 19(2). 127–144. 2 indexed citations
12.
Palahí, Marc, Jari Miina, Margarida Tomé, & G. Montero. (2002). Stand-level yield model for Scots pine (Pinus sylvestris L.) in north-east Spain. Forest Systems. 11(2). 409–424. 16 indexed citations
13.
Montenegro, R., G. Montero, J.M. Escobar, & Eduardo Rodríguez. (2002). Efficient strategies for adaptive 3-D mesh generation over complex orography. Neural, Parallel & Scientific Computations archive. 10(1). 57–76. 11 indexed citations
14.
Martín, David, et al.. (2001). Extended cost-benefit analysis of holm oak dehesa multiple use and cereal-grass rotations. Forest Systems. 10(3). 109–124. 7 indexed citations
15.
Montero, G., et al.. (2000). ENSAYO DE CLARAS EN UNA MASA NATURAL DE Pinus sylvestris L. EN EL SISTEMA CENTRAL. Forest Systems. 9(1). 147–168. 2 indexed citations
16.
Montero, G., et al.. (2000). Typology of Pinus sylvestris L. forests in Spain. Forest Systems. 9. 41–65. 7 indexed citations
17.
Cañellas, Isabel, et al.. (1999). Behaviour of Pinus pinea plants in nursery and field: Trials of plant production, fertilisation and herbicides. Forest Systems. 8(2). 335–359. 13 indexed citations
18.
Montero, G., et al.. (1998). Influence of certain silvicultural variables in the Phellinus pini white-rot on Pinus pinea. Forest Systems. 203–218. 5 indexed citations
19.
Montero, G., Alfonso San Miguel, & Ricardo Alı́a. (1991). Structure and yield of cork oak (Quercus suber L.) stands in southern Spain. Forest Systems. 69–74. 2 indexed citations
20.
Montenegro, R., G. Montero, & G. Winter. (1990). Aplicación de esquemas EBE en procesos adaptativos. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería. 6(2). 311–332. 1 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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