107 citations as recorded by crossref.

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8. Forty-Year Fire History Reconstruction from Landsat Data in Mediterranean Ecosystems of Algeria following International Standards M. Kouachi et al. https://doi.org/10.3390/rs16132500
9. Spatio-temporal variability of wildfires in Mozambique (2001–2019): seasonal patterns, land cover influence, and ENSO effects E. Sadique & F. Justino https://doi.org/10.1007/s00703-026-01129-8
10. Forest Fire Driving Factors and Fire Risk Zoning Based on an Optimal Parameter Logistic Regression Model: A Case Study of the Liangshan Yi Autonomous Prefecture, China F. Zhang et al. https://doi.org/10.3390/fire6090336
11. Trends in adverse weather patterns and large wildland fires in Aragón (NE Spain) from 1978 to 2010 A. Cardil et al. https://doi.org/10.5194/nhess-13-1393-2013
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13. Evaluating the efficacy of bivariate extreme modelling approaches for multi-hazard scenarios A. Tilloy et al. https://doi.org/10.5194/nhess-20-2091-2020
14. Exploratory Spatial Analysis of Social Vulnerability and Forest Fire Risk in the Pinhal Interior Sul (Central Portugal) J. Farinha et al. https://doi.org/10.3390/su14053010
15. A comprehensive spatial-temporal analysis of driving factors of human-caused wildfires in Spain using Geographically Weighted Logistic Regression M. Rodrigues et al. https://doi.org/10.1016/j.jenvman.2018.07.098
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18. Analysis of Factors Related to Forest Fires in Different Forest Ecosystems in China Z. Wu et al. https://doi.org/10.3390/f13071021
19. Influence of Satellite Sensor Pixel Size and Overpass Time on Undercounting of Cerrado/Savannah Landscape-Scale Fire Radiative Power (FRP): An Assessment Using the MODIS Airborne Simulator S. Sperling et al. https://doi.org/10.3390/fire3020011
20. FATALITIES IN WILDLAND FIRES FROM 1945 TO 2015 IN SARDINIA (ITALY) A. Cardil et al. https://doi.org/10.1590/01047760201723022266
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23. Decreasing Fires in Mediterranean Europe M. Turco et al. https://doi.org/10.1371/journal.pone.0150663
24. The climatology of extreme wildfires in Portugal, 1980–2018: Contributions to forecasting and preparedness M. Carmo et al. https://doi.org/10.1002/joc.7411
25. NO2, PM10 and O3 urban concentrations and its association with circulation weather types in Portugal A. Russo et al. https://doi.org/10.1016/j.atmosenv.2014.02.010
26. Unraveling the Effect of Fire Seasonality on Fire-Preferred Fuel Types and Dynamics in Alto Minho, Portugal (2000–2018) E. Oliveira et al. https://doi.org/10.3390/fire6070267
27. Fire effects in Pinus uncinata Ram plantations A. Cardil Forradellas et al. https://doi.org/10.5424/fs/2016251-08919
28. Recent evolution of spatial and temporal patterns of burnt areas and fire weather risk in the Iberian Peninsula T. Calheiros et al. https://doi.org/10.1016/j.agrformet.2020.107923
29. Identifying Forest Fire Driving Factors and Related Impacts in China Using Random Forest Algorithm W. Ma et al. https://doi.org/10.3390/f11050507
30. Heat waves in Portugal: Current regime, changes in future climate and impacts on extreme wildfires J. Parente et al. https://doi.org/10.1016/j.scitotenv.2018.03.044
31. 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
32. Brief communication Decreasing fires in a Mediterranean region (1970–2010, NE Spain) M. Turco et al. https://doi.org/10.5194/nhess-13-649-2013
33. Factors Causing Victims of Wildland Fires in Spain (1980–2010) A. Cardil & D. Molina https://doi.org/10.1080/10807039.2013.871995
34. Space-time clustering analysis performance of an aggregated dataset: The case of wildfires in Portugal M. Pereira et al. https://doi.org/10.1016/j.envsoft.2015.05.016
35. The Portuguese Large Wildfire Spread database (PT-FireSprd) A. Benali et al. https://doi.org/10.5194/essd-15-3791-2023
36. RST-FIRES, an exportable algorithm for early-fire detection and monitoring: Description, implementation, and field validation in the case of the MSG-SEVIRI sensor C. Filizzola et al. https://doi.org/10.1016/j.rse.2017.01.019
37. Spatio‐Temporal Domains of Wildfire‐Prone Teleconnection Patterns in the Western Mediterranean Basin M. Rodrigues et al. https://doi.org/10.1029/2021GL094238
38. On the reactive nature of forest fire-related legislation in Portugal: A comment on Mourão and Martinho (2016) P. Fernandes et al. https://doi.org/10.1016/j.landusepol.2016.10.008
39. Effects of regional climate change on rural fires in Portugal M. Pereira et al. https://doi.org/10.3354/cr01176
40. Fire regime dynamics in mainland Spain. Part 1: Drivers of change M. Rodrigues et al. https://doi.org/10.1016/j.scitotenv.2019.135841
41. Is Portugal’s forest transition going up in smoke? T. Oliveira et al. https://doi.org/10.1016/j.landusepol.2017.04.046
42. Assessing the accuracy of remotely sensed fire datasets across the southwestern Mediterranean Basin L. Galizia et al. https://doi.org/10.5194/nhess-21-73-2021
43. Predicting burnt areas during the summer season in Portugal by combining wildfire susceptibility and spring meteorological conditions R. Bergonse et al. https://doi.org/10.1080/19475705.2021.1909664
44. Atmospheric conditions associated with extreme fire activity in the Western Mediterranean region M. Amraoui et al. https://doi.org/10.1016/j.scitotenv.2015.04.032
45. The Performance of ECMWF Ensemble Prediction System for European Extreme Fires: Portugal/Monchique in 2018 R. Durão et al. https://doi.org/10.3390/atmos13081239
46. Using Multilayer Perceptron to Predict Forest Fires in Jiangxi Province, Southeast China K. Gao et al. https://doi.org/10.1155/2022/6930812
47. Socioeconomic Aspects of the Forests in Portugal: Recent Evolution and Perspectives of Sustainability of the Resource L. Nunes et al. https://doi.org/10.3390/f10050361
48. Water resources planning for a river basin with recurrent wildfires R. Santos et al. https://doi.org/10.1016/j.scitotenv.2015.04.058
49. What drives forest fire in Fujian, China? Evidence from logistic regression and Random Forests F. Guo et al. https://doi.org/10.1071/WF15121
50. Forest Fire Spread Monitoring and Vegetation Dynamics Detection Based on Multi-Source Remote Sensing Images Y. Tian et al. https://doi.org/10.3390/rs14184431
51. Extreme temperature conditions and wildland fires in Spain A. Cardil et al. https://doi.org/10.1007/s00704-014-1295-8
52. Projecting Future Impacts of Global Change Including Fires on Soil Erosion to Anticipate Better Land Management in the Forests of NW Portugal A. Pastor et al. https://doi.org/10.3390/w11122617
53. Remains of traditional fire use in Portugal: A historical analysis E. de Oliveira et al. https://doi.org/10.1016/j.tfp.2023.100458
54. Calibration of the Fire Weather Index over Mediterranean Europe based on fire activity retrieved from MSG satellite imagery C. DaCamara et al. https://doi.org/10.1071/WF13157
55. Changes in the Seasonality of Fire Activity and Fire Weather in Portugal: Is the Wildfire Season Really Longer? P. Silva et al. https://doi.org/10.3390/meteorology2010006
56. Structural fire risk: The case of Portugal J. Parente & M. Pereira https://doi.org/10.1016/j.scitotenv.2016.08.164
57. RST-FIRES, an exportable algorithm for early-fire detection and monitoring: description, implementation, and field validation in the case of the MSG-SEVIRI sensor C. Filizzola et al. https://doi.org/10.1016/j.rse.2016.08.008
58. Recent changes and relations among drought, vegetation and wildfires in the Eastern Mediterranean: The case of Israel M. Turco et al. https://doi.org/10.1016/j.gloplacha.2016.09.002
59. Forest Fire Risk Prediction Based on Stacking Ensemble Learning for Yunnan Province of China Y. Li et al. https://doi.org/10.3390/fire7010013
60. Comparative analysis of spatial variation in forest fire drivers between boreal and subtropical ecosystems in China Z. Su et al. https://doi.org/10.1016/j.foreco.2019.117669
61. Fire activity over Mediterranean Europe based on information from Meteosat-8 M. Amraoui et al. https://doi.org/10.1016/j.foreco.2012.08.032
62. Coupling wildfire spread simulations and connectivity analysis for hazard assessment: a case study in Serra da Cabreira, Portugal A. Sá et al. https://doi.org/10.5194/nhess-22-3917-2022
63. Exploring fire incidence in Portugal using generalized additive models for location, scale and shape (GAMLSS) A. Sá et al. https://doi.org/10.1007/s40808-017-0409-6
64. Assigning dates and identifying areas affected by fires in Portugal based on MODIS data J. PANISSET et al. https://doi.org/10.1590/0001-3765201720160707
65. Wildfire Risk Levels at the Local Scale: Assessing the Relative Influence of Hazard, Exposure, and Social Vulnerability R. Bergonse et al. https://doi.org/10.3390/fire5050166
66. Land cover fire proneness in Europe M. Pereira et al. https://doi.org/10.5424/fs/2014233-06115
67. Have Historical Land Use/Land Cover Changes Triggered a Fire Regime Shift in Central Spain? C. Montiel-Molina et al. https://doi.org/10.3390/fire2030044
68. A Revised Historical Fire Regime Analysis in Tunisia (1985–2010) from a Critical Analysis of the National Fire Database and Remote Sensing C. Belhadj-Khedher et al. https://doi.org/10.3390/f9020059
69. Remote Sensing Applications for Mapping Large Wildfires Based on Machine Learning and Time Series in Northwestern Portugal S. dos Santos et al. https://doi.org/10.3390/fire6020043
70. Wildland fire typologies and extreme temperatures in NE Spain A. Cardil et al. https://doi.org/10.3832/ifor1939-009
71. Understanding fire drivers and relative impacts in different Chinese forest ecosystems F. Guo et al. https://doi.org/10.1016/j.scitotenv.2017.06.219
72. Identifying large fire weather typologies in the Iberian Peninsula M. Rodrigues et al. https://doi.org/10.1016/j.agrformet.2019.107789
73. Fire danger rating over Mediterranean Europe based on fire radiative power derived from Meteosat M. Pinto et al. https://doi.org/10.5194/nhess-18-515-2018
74. Enhancing the fire weather index with atmospheric instability information M. Pinto et al. https://doi.org/10.1088/1748-9326/ab9e22
75. Mapping Forest Fire Risk Zones Using Machine Learning Algorithms in Hunan Province, China C. Tan & Z. Feng https://doi.org/10.3390/su15076292
76. Drivers of extreme burnt area in Portugal: fire weather and vegetation T. Calheiros et al. https://doi.org/10.5194/nhess-22-4019-2022
77. Do climate teleconnections modulate wildfire-prone conditions over the Iberian Peninsula? M. Rodrigues et al. https://doi.org/10.1088/1748-9326/abe25d
78. Fire‐Pollutant‐Atmosphere Components and Its Impact on Mortality in Portugal During Wildfire Seasons E. de Souza Fernandes Duarte et al. https://doi.org/10.1029/2023GH000802
79. Wildfire Policy in Mediterranean France: How Far is it Efficient and Sustainable? T. Curt & T. Frejaville https://doi.org/10.1111/risa.12855
80. Negligent and intentional fires in Portugal: Spatial distribution characterization J. Parente et al. https://doi.org/10.1016/j.scitotenv.2017.12.013
81. Temporal variations and change in forest fire danger in Europe for 1960–2012 A. Venäläinen et al. https://doi.org/10.5194/nhess-14-1477-2014
82. Impact of wildfire-induced land cover modification on local meteorology: A sensitivity study of the 2003 wildfires in Portugal C. Hernandez et al. https://doi.org/10.1016/j.atmosres.2015.04.016
83. Identifying Local-Scale Weather Forcing Conditions Favorable to Generating Iberia’s Largest Fires I. Vieira et al. https://doi.org/10.3390/f11050547
84. The effects of large-scale forest disturbances on hydrology – An overview with special emphasis on karst aquifer systems U. Vilhar et al. https://doi.org/10.1016/j.earscirev.2022.104243
85. Analysis of the Evolution of Rural Fire Occurrences in Guimarães (Portugal) in the Period 1980–2020: Relationship with Climatic Parameters L. Nunes https://doi.org/10.3390/fire8090354
86. Assessing the role of drought events on wildfires in the Iberian Peninsula A. Russo et al. https://doi.org/10.1016/j.agrformet.2017.01.021
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88. The Influence of Wildfire Climate on Wildfire Incidence: The Case of Portugal M. Pereira et al. https://doi.org/10.3390/fire7070234
89. A combined structural and seasonal approach to assess wildfire susceptibility and hazard in summertime R. Bergonse et al. https://doi.org/10.1007/s11069-021-04554-7
90. Characterizing Bushfire Occurrences over Jamaica Using the MODIS C6 Fire Archive 2001–2019 C. Charlton et al. https://doi.org/10.3390/atmos12030390
91. Seasonal and Scale Effects of Anthropogenic Pressures on Water Quality and Ecological Integrity: A Study in the Sabor River Basin (NE Portugal) Using Partial Least Squares-Path Modeling A. Fernandes et al. https://doi.org/10.3390/w11091941
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95. Determining Fire Dates and Locating Ignition Points With Satellite Data A. Benali et al. https://doi.org/10.3390/rs8040326
96. Impacts of climate change and land-use scenarios on Margaritifera margaritifera, an environmental indicator and endangered species R. Santos et al. https://doi.org/10.1016/j.scitotenv.2014.12.090
97. Socioeconomic Development, Demographic Dynamics and Forest Fires in Italy, 1961–2017: A Time-Series Analysis M. Carlucci et al. https://doi.org/10.3390/su11051305
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100. Understanding the Impact of Different Landscape-Level Fuel Management Strategies on Wildfire Hazard in Central Portugal A. Benali et al. https://doi.org/10.3390/f12050522
101. A Planning Model for Fire-Resilient Landscapes in Portugal Is Riddled with Fallacies: A Critical Review of “FIRELAN” by Magalhães et al., 2021 N. Guiomar et al. https://doi.org/10.3390/fire6100398
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107. Wildland fire potential outlooks for Portugal using meteorological indices of fire danger S. Nunes et al. https://doi.org/10.5194/nhess-19-1459-2019