29 citations as recorded by crossref.

1. Climate change impact on future wildfire danger and activity in southern Europe: a review J. Dupuy et al. https://doi.org/10.1007/s13595-020-00933-5
2. Predicting forest fires burned area and rate of spread from pre-fire multispectral satellite measurements C. Maffei & M. Menenti https://doi.org/10.1016/j.isprsjprs.2019.10.013
3. Application of Remote Sensing and Explainable Artificial Intelligence (XAI) for Wildfire Occurrence Mapping in the Mountainous Region of Southwest China J. Liu et al. https://doi.org/10.3390/rs16193602
4. On the merits of sparse surrogates for global sensitivity analysis of multi-scale nonlinear problems: Application to turbulence and fire-spotting model in wildland fire simulators A. Trucchia et al. https://doi.org/10.1016/j.cnsns.2019.02.002
5. Spatial Assessment of Wildfires Susceptibility in Santa Cruz (Bolivia) Using Random Forest M. Bustillo Sánchez et al. https://doi.org/10.3390/geosciences11050224
6. Assessing the Impact of Forest Canopy Drag on Experimental Fire Behavior Using Coupled Atmosphere-Fire Large-Eddy Simulations W. Antolin et al. https://doi.org/10.1007/s10546-026-01001-7
7. Quantifying the Rarity of Extreme Wildfires: Translating Fire Size into Return Period Using Extreme Value Theory Methods N. Koutsias & F. Coutelieris https://doi.org/10.1007/s10666-025-10048-8
8. Has fire policy decreased the return period of the largest wildfire events in France? A Bayesian assessment based on extreme value theory G. Evin et al. https://doi.org/10.5194/nhess-18-2641-2018
9. Fire Regime Impacts on Postfire Diurnal Land Surface Temperature Change Over North American Boreal Forest J. Zhao et al. https://doi.org/10.1029/2021JD035589
10. Optimizing the location of aerial resources to combat wildfires: a case study of Portugal J. Zeferino https://doi.org/10.1007/s11069-020-03856-6
11. Simulating the effects of weather and climate on large wildfires in France R. Barbero et al. https://doi.org/10.5194/nhess-19-441-2019
12. Forest fire size amplifies postfire land surface warming J. Zhao et al. https://doi.org/10.1038/s41586-024-07918-8
13. Machine learning based wildfire susceptibility mapping using remotely sensed fire data and GIS: A case study of Adana and Mersin provinces, Turkey M. Iban & A. Sekertekin https://doi.org/10.1016/j.ecoinf.2022.101647
14. Putting fire on the map of Brazilian savanna ecoregions P. Silva et al. https://doi.org/10.1016/j.jenvman.2021.113098
15. Recent change of burned area associated with summer heat extremes over Iberia V. Bento et al. https://doi.org/10.1071/WF21155
16. Improved fire severity prediction using pre-fire remote sensing and meteorological time series: Application to the French Mediterranean area V. Penot et al. https://doi.org/10.1016/j.agrformet.2025.110588
17. Global relationship of fire occurrence and fire intensity: A test of intermediate fire occurrence‐intensity hypothesis R. Luo et al. https://doi.org/10.1002/2016JG003722
18. Relating Spatiotemporal Patterns of Forest Fires Burned Area and Duration to Diurnal Land Surface Temperature Anomalies C. Maffei et al. https://doi.org/10.3390/rs10111777
19. On the evidence of contextually large fires in Europe based on return period functions A. Duane et al. https://doi.org/10.1016/j.apgeog.2025.103539
20. Observed changes in fire patterns and possible drivers over Central Africa Y. Jiang et al. https://doi.org/10.1088/1748-9326/ab9db2
21. A machine-learning approach for identifying dense-fires and assessing atmospheric emissions on the Indochina Peninsula, 2010–2020 Y. Zhong et al. https://doi.org/10.1016/j.atmosres.2022.106325
22. Modeling fire size of wildfires in Castellon (Spain), using spatiotemporal marked point processes C. Díaz-Avalos et al. https://doi.org/10.1016/j.foreco.2016.09.013
23. Varying relationships between fire radiative power and fire size at a global scale P. Laurent et al. https://doi.org/10.5194/bg-16-275-2019
24. Spatiotemporal prediction of wildfire size extremes with Bayesian finite sample maxima M. Joseph et al. https://doi.org/10.1002/eap.1898
25. Statistical Models of Key Components of Wildfire Risk D. Xi et al. https://doi.org/10.1146/annurev-statistics-031017-100450
26. Understanding wildfires in mainland Spain. A comprehensive analysis of fire regime features in a climate-human context A. Jiménez-Ruano et al. https://doi.org/10.1016/j.apgeog.2017.10.007
27. Wildfire Prediction in the United States Using Time Series Forecasting Models M. Kabir et al. https://doi.org/10.33166/AETiC.2024.02.003
28. Cross‐country risk quantification of extreme wildfires in Mediterranean Europe S. Meier et al. https://doi.org/10.1111/risa.14075
29. Characterizing Turbulence at a Forest Edge: Comparing Sub-Filter Scale Turbulence Models in Simulations of Flow over a Canopy D. Perez et al. https://doi.org/10.1007/s10666-026-10123-8