Javier Madrigal

2.1k total citations · 1 hit paper
83 papers, 1.5k citations indexed

About

Javier Madrigal is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Javier Madrigal has authored 83 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Global and Planetary Change, 22 papers in Nature and Landscape Conservation and 20 papers in Ecology. Recurrent topics in Javier Madrigal's work include Fire effects on ecosystems (63 papers), Forest ecology and management (16 papers) and Fire dynamics and safety research (11 papers). Javier Madrigal is often cited by papers focused on Fire effects on ecosystems (63 papers), Forest ecology and management (16 papers) and Fire dynamics and safety research (11 papers). Javier Madrigal collaborates with scholars based in Spain, Portugal and Indonesia. Javier Madrigal's co-authors include Mercedes Guijarro, Carmen Hernando, Eva Marino, Jean‐Luc Dupuy, Julien Ruffault, Hélène Fargeon, François Pimont, Paulo M. Fernandes, Nicolas Martin‐StPaul and José A. Vega and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Javier Madrigal

79 papers receiving 1.4k citations

Hit Papers

Climate change impact on future wildfire danger and activ... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Javier Madrigal Spain 21 1.2k 391 370 255 244 83 1.5k
Mercedes Guijarro Spain 21 1.3k 1.1× 387 1.0× 379 1.0× 274 1.1× 378 1.5× 75 1.6k
Filipe X. Catry Portugal 22 1.3k 1.1× 588 1.5× 613 1.7× 201 0.8× 133 0.5× 40 1.6k
Futao Guo China 19 984 0.8× 347 0.9× 156 0.4× 108 0.4× 156 0.6× 81 1.3k
Elizabeth D. Reinhardt United States 17 1.5k 1.2× 689 1.8× 661 1.8× 84 0.3× 157 0.6× 35 1.6k
Ernesto Alvarado United States 22 1.2k 1.0× 362 0.9× 213 0.6× 76 0.3× 200 0.8× 64 1.4k
Juan Ramón Molina Spain 19 999 0.8× 396 1.0× 204 0.6× 119 0.5× 183 0.8× 58 1.3k
Wade T. Tinkham United States 20 808 0.7× 476 1.2× 366 1.0× 87 0.3× 92 0.4× 52 1.2k
E. Louise Loudermilk United States 28 1.7k 1.4× 732 1.9× 845 2.3× 120 0.5× 217 0.9× 72 2.1k
C. Alina Cansler United States 22 1.6k 1.3× 983 2.5× 653 1.8× 95 0.4× 139 0.6× 39 1.7k
Víctor Fernández‐García Spain 21 954 0.8× 587 1.5× 249 0.7× 163 0.6× 111 0.5× 45 1.2k

Countries citing papers authored by Javier Madrigal

Since Specialization
Citations

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

Fields of papers citing papers by Javier Madrigal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Madrigal

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Madrigal. A scholar is included among the top collaborators of Javier Madrigal 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 Javier Madrigal. Javier Madrigal 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.
Madrigal, Javier, et al.. (2025). Prescribed underburning before resin tapping does not affect resin yield in Pinus pinaster Ait. stands. Forest Systems. 34(1). 20952–20952. 1 indexed citations
3.
Miralles, Ramón, et al.. (2025). Fiber-optic hydrophone sensor for passive acoustic monitoring applications. Measurement. 260. 119859–119859.
4.
Guerrero, Fabián, Melisa Blackhall, Carolina Quintero, et al.. (2024). Unraveling the chemistry of plant flammability: Exploring the role of volatile secondary metabolites beyond terpenes. Forest Ecology and Management. 572. 122269–122269. 4 indexed citations
5.
Nazemosadat, Elham, et al.. (2024). Theoretical and experimental analysis of inter-core crosstalk in strongly-coupled multicore fiber tapers. Optics & Laser Technology. 181. 111777–111777.
6.
Montes, Fernando, et al.. (2024). Real-time assessment of live forest fuel moisture content and flammability by using space-time universal kriging. Ecological Modelling. 498. 110867–110867. 1 indexed citations
7.
Hernando, Carmen, et al.. (2024). Severity, Logging and Microsite Influence Post-Fire Regeneration of Maritime Pine. Fire. 7(4). 125–125. 2 indexed citations
8.
Souza‐Alonso, Pablo, María del Mar Lorenzo Moledo, Otilia Reyes, et al.. (2024). Service-learning to improve training, knowledge transfer, and awareness in forest fire management. Fire Ecology. 20(1). 1 indexed citations
9.
Dejene, Tatek, Juan Rueda, Mercedes Guijarro, et al.. (2022). Prescribed burning in spring or autumn did not affect the soil fungal community in Mediterranean Pinus nigra natural forests. Forest Ecology and Management. 512. 120161–120161. 14 indexed citations
10.
Guijarro, Mercedes, et al.. (2022). Ecological niche models applied to post-megafire vegetation restoration in the context of climate change. The Science of The Total Environment. 855. 158858–158858. 15 indexed citations
12.
Díaz‐Sierra, Rubén, et al.. (2020). Needle Senescence Affects Fire Behavior in Aleppo Pine (Pinus halepensis Mill.) Stands: A Simulation Study. Forests. 11(10). 1054–1054. 12 indexed citations
13.
Rocca, Gianni Della, Roberto Danti, Carmen Hernando, et al.. (2020). Terpenoid Accumulation Links Plant Health and Flammability in the Cypress-Bark Canker Pathosystem. Forests. 11(6). 651–651. 14 indexed citations
14.
Madrigal, Javier, et al.. (2019). Resistance of Pinus pinea L. bark to fire. International Journal of Wildland Fire. 28(5). 342–353. 23 indexed citations
15.
Marino, Eva, Carmen Hernando, Javier Madrigal, & Mercedes Guijarro. (2014). Short-term effect of fuel treatments on fire behaviour in a mixed heathland: a comparative assessment in an outdoor wind tunnel. International Journal of Wildland Fire. 23(8). 1097–1107. 9 indexed citations
16.
Madrigal, Javier, et al.. (2004). Respuesta a Corto Plazo del Regenerado Post-Incendio de Pinus pinaster Ait. a Clareos Mecanizados Intensos. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 6 indexed citations
17.
Madrigal, Javier, et al.. (2004). MODELIZACIÓN DEL COMPORTAMIENTO DEL FUEGO EN LOS INCENDIOS FORESTALES: MODELOS EMPÍRICOS DE PREDICCIÓN DE LA VELOCIDAD DE PROPAGACIÓN DESARROLLADOS EN TÚNEL DE VIENTO. Cuadernos de la Sociedad Española de Ciencias Forestales. 269–274. 2 indexed citations
18.
Vega, José A., P. Pérez‐Gorostiaga, Carmen Hernando, et al.. (2002). Post-fire regeneration in Pinus pinaster Ait. forest: effects of very early heavy thinning of seedlings and brush clearing.. 5 indexed citations
19.
Meléndez, Juan, Susana Briz, F. López, et al.. (2002). Measurements of laboratory forest fires with bi-spectral infrared imaging.. 1 indexed citations
20.
Madrigal, Javier, Carmen Hernando, Mercedes Guijarro, et al.. (2002). Effect of fire intensity on seed dispersal and early regeneration in a Pinus pinaster forest.. 14 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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