25 citations as recorded by crossref.

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2. Predicting forest fires burned area and rate of spread from pre-fire multispectral satellite measurements C. Maffei & M. Menenti 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. 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. 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. 10.3390/geosciences11050224
6. 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. 10.5194/nhess-18-2641-2018
7. Fire Regime Impacts on Postfire Diurnal Land Surface Temperature Change Over North American Boreal Forest J. Zhao et al. 10.1029/2021JD035589
8. Optimizing the location of aerial resources to combat wildfires: a case study of Portugal J. Zeferino 10.1007/s11069-020-03856-6
9. Simulating the effects of weather and climate on large wildfires in France R. Barbero et al. 10.5194/nhess-19-441-2019
10. Forest fire size amplifies postfire land surface warming J. Zhao et al. 10.1038/s41586-024-07918-8
11. 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 10.1016/j.ecoinf.2022.101647
12. Putting fire on the map of Brazilian savanna ecoregions P. Silva et al. 10.1016/j.jenvman.2021.113098
13. Recent change of burned area associated with summer heat extremes over Iberia V. Bento et al. 10.1071/WF21155
14. Global relationship of fire occurrence and fire intensity: A test of intermediate fire occurrence‐intensity hypothesis R. Luo et al. 10.1002/2016JG003722
15. Relating Spatiotemporal Patterns of Forest Fires Burned Area and Duration to Diurnal Land Surface Temperature Anomalies C. Maffei et al. 10.3390/rs10111777
16. On the evidence of contextually large fires in Europe based on return period functions A. Duane et al. 10.1016/j.apgeog.2025.103539
17. Observed changes in fire patterns and possible drivers over Central Africa Y. Jiang et al. 10.1088/1748-9326/ab9db2
18. A machine-learning approach for identifying dense-fires and assessing atmospheric emissions on the Indochina Peninsula, 2010–2020 Y. Zhong et al. 10.1016/j.atmosres.2022.106325
19. Modeling fire size of wildfires in Castellon (Spain), using spatiotemporal marked point processes C. Díaz-Avalos et al. 10.1016/j.foreco.2016.09.013
20. Varying relationships between fire radiative power and fire size at a global scale P. Laurent et al. 10.5194/bg-16-275-2019
21. Spatiotemporal prediction of wildfire size extremes with Bayesian finite sample maxima M. Joseph et al. 10.1002/eap.1898
22. Statistical Models of Key Components of Wildfire Risk D. Xi et al. 10.1146/annurev-statistics-031017-100450
23. Understanding wildfires in mainland Spain. A comprehensive analysis of fire regime features in a climate-human context A. Jiménez-Ruano et al. 10.1016/j.apgeog.2017.10.007
24. Wildfire Prediction in the United States Using Time Series Forecasting Models M. Kabir et al. 10.33166/AETiC.2024.02.003
25. Cross‐country risk quantification of extreme wildfires in Mediterranean Europe S. Meier et al. 10.1111/risa.14075