154 citations as recorded by crossref.

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3. Developing 30 m resolution monthly burned area products in Africa (2017–2025) S. Huang et al. https://doi.org/10.1016/j.rse.2026.115533
4. Biased Perception of Macroecological Findings Triggered by the IPCC—The Example of Wildfires C. Hobohm & V. Müller-Benedict https://doi.org/10.3390/su17010134
5. Regional-Scale Assessment of Burn Scar Mapping in Southwestern Amazonia Using Burned Area Products and CBERS/WFI Data Cubes P. Ferro et al. https://doi.org/10.3390/fire7030067
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7. Why methane surged in the atmosphere during the early 2020s P. Ciais et al. https://doi.org/10.1126/science.adx8262
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9. Assessment of the effectiveness of coarse resolution fire products in monitoring long-term changes in fire regime within protected areas in South Africa M. Zubkova et al. https://doi.org/10.1016/j.jag.2024.104064
10. Response of Wildfires to Concurrent and Consecutive Drought and Hot Extremes across the Globe Q. Ma et al. https://doi.org/10.1061/JHYEFF.HEENG-6864
11. Fire Impacts, vegetation Recovery, and environmental drivers in West African savannas (2014–2023): A High-Resolution remote sensing assessment B. Ouattara et al. https://doi.org/10.1016/j.jag.2025.104783
12. A new lightning scheme in the Canadian Atmospheric Model (CanAM5.1): implementation, evaluation, and projections of lightning and fire in future climates C. Whaley et al. https://doi.org/10.5194/gmd-17-7141-2024
13. Biomass burning emission estimation in the MODIS era: State-of-the-art and future directions M. Parrington et al. https://doi.org/10.1525/elementa.2024.00089
14. Estimating future wildfire burnt area over Greece using the JULES-INFERNO model A. Rovithakis et al. https://doi.org/10.5194/nhess-25-3185-2025
15. Life–cycle impacts of South Korean air pollution on tropospheric ozone and methane: sensitivity to dispersion time C. Wilson & M. Prather https://doi.org/10.5194/acp-26-3995-2026
16. Upper-tropospheric pollutants observed by MIPAS: geographic and seasonal variations N. Glatthor et al. https://doi.org/10.5194/acp-25-1175-2025
17. Ecosystem diversity in southern African savannas is fueled by pyrodiversity V. Fernández-García et al. https://doi.org/10.1038/s43247-026-03260-1
18. Increasing carbon emissions despite declining burned area in the Northern Hemisphere wildfires R. Shi et al. https://doi.org/10.1016/j.atmosres.2026.108980
19. Assessment of land use and land cover (LULC) and vegetation degradation state from wildfire within the scope of forest landscape restoration (FLR) in Cameroon K. Dahan et al. https://doi.org/10.1080/22797254.2025.2498955
20. Applicability Assessment of GFED4 and GFED5 on Forest Fires in Chinese Mainland and Its Fire-Scale Patterns Change X. Wang et al. https://doi.org/10.3390/rs17203461
21. Reburning from overwintering fires in boreal North America: insights from a Landsat time series analysis T. Hessilt et al. https://doi.org/10.1071/WF25286
22. GloCAB: global cropland burned area from mid-2002 to 2020 J. Hall et al. https://doi.org/10.5194/essd-16-867-2024
23. Strong intensification of extreme fire weather in Europe under 3 °C compared to 2 °C global warming A. Bayar et al. https://doi.org/10.5194/esd-17-929-2026
24. Global Methane Budget 2000–2020 M. Saunois et al. https://doi.org/10.5194/essd-17-1873-2025
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27. Advancing Carbonaceous Aerosol Remote Sensing across Asia-Oceania: Insights from Geostationary Satellite Retrievals F. Bao et al. https://doi.org/10.1021/acs.est.5c01120
28. Quantifying the annual atmospheric CO2 burden from biomass burning and its transport time to monitoring sites P. Musaid et al. https://doi.org/10.1016/j.scitotenv.2025.181202
29. The rising threat of wildfire: an examination of global forest fire occurrence over the past two decades M. Luo et al. https://doi.org/10.1505/146554824838819860
30. State of Wildfires 2023–2024 M. Jones et al. https://doi.org/10.5194/essd-16-3601-2024
31. Model fires, not ignitions: Capturing the human dimension of global fire regimes M. Kasoar et al. https://doi.org/10.1016/j.crsus.2024.100128
32. Radiative forcing due to shifting southern African fire regimes T. Eames et al. https://doi.org/10.5194/acp-25-17429-2025
33. Fall prescribed burns deplete surface soil C pools more than spring burns in a young mixed-conifer forest A. Krichels et al. https://doi.org/10.1016/j.foreco.2025.123298
34. The Global Forest Fire Emissions Prediction System version 1.0 K. Anderson et al. https://doi.org/10.5194/gmd-17-7713-2024
35. Landscape fire emissions from the 5th version of the Global Fire Emissions Database (GFED5) G. van der Werf et al. https://doi.org/10.1038/s41597-025-06127-w
36. Impact of wildfire smoke on air pollution-related premature mortality in rapidly growing Kathmandu Valley S. Kuikel et al. https://doi.org/10.1016/j.aeaoa.2025.100334
37. Analysis of Forest Fire Emissions and Meteorological Impacts in Southwestern China Based on Multi-Source Satellite Observations L. Fang et al. https://doi.org/10.3390/atmos16101187
38. The Fire Modeling Intercomparison Project (FireMIP) for CMIP7 F. Li et al. https://doi.org/10.5194/gmd-19-3989-2026
39. Pyrogenic carbon production in eucalypt forests under low to moderate fire severities M. García-Carmona et al. https://doi.org/10.1016/j.foreco.2025.122590
40. Global burned area increasingly explained by climate change C. Burton et al. https://doi.org/10.1038/s41558-024-02140-w
41. Revisiting the global budget of atmospheric glyoxal: updates on terrestrial and marine precursor emissions, chemistry, and impacts on atmospheric oxidation capacity A. Zhang et al. https://doi.org/10.5194/acp-26-5123-2026
42. Peat fires contribute disproportionately to Siberian fire carbon emissions A. Khairoun et al. https://doi.org/10.1126/sciadv.adl2368
43. Revisiting the high tropospheric ozone over southern Africa: role of biomass burning and anthropogenic emissions Y. Wang et al. https://doi.org/10.5194/acp-25-4455-2025
44. Including Small Fires in Global Historical Burned Area Products: Promising Results from a Landsat-Based Product D. Fornacca et al. https://doi.org/10.3390/fire8110422
45. Simulation of Thermal Infrared Images from Simulated Fire Scenes R. Paugam et al. https://doi.org/10.1088/1742-6596/2885/1/012074
46. Divergent trajectories of global fires: Overall decline, regional intensification X. Chen et al. https://doi.org/10.1016/j.accre.2026.02.011
47. Warming and Aridification Amplify Extreme Fire Weather Elevating Population Exposure in China M. Bai et al. https://doi.org/10.1002/joc.70440
48. Impacts of El Niño–Southern Oscillation on global fire PM2.5 during 2000–2023 Y. Hu et al. https://doi.org/10.1016/j.aosl.2025.100597
49. Local and remote drivers of increased variability in extreme wildfire conditions in Southeastern Australia K. Kim et al. https://doi.org/10.1016/j.agrformet.2026.111156
50. Near-real time monitoring of burned area at global scale based on deep learning M. Padilla et al. https://doi.org/10.1080/01431161.2025.2528256
51. Review article: Fire emissions in the Brazilian Cerrado – dynamics, estimates, management, and their role in the global carbon budget R. da Veiga et al. https://doi.org/10.5194/nhess-25-3581-2025
52. Leveraging additional VIIRS information to improve wildfire tracking in the western US S. Coffield et al. https://doi.org/10.1016/j.rse.2025.115156
53. Global Carbon Budget 2025 P. Friedlingstein et al. https://doi.org/10.5194/essd-18-3211-2026
54. Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories M. Petrenko et al. https://doi.org/10.5194/acp-25-1545-2025
55. Responses of extreme fire weather to CO 2 emission reductions and underlying mechanisms Y. Kim et al. https://doi.org/10.1126/sciadv.adw4705
56. Small-scale livelihood and cultural fire: Global spatiotemporal characteristics, and gaps in data C. Smith et al. https://doi.org/10.1371/journal.pone.0339561
57. Global Mercury Emissions from Open Biomass Burning Estimated Using a Mass-Balance Approach Y. Shen et al. https://doi.org/10.1021/acs.est.5c13535
58. Remote sensing for wildfire monitoring: Insights into burned area, emissions, and fire dynamics Y. Chen et al. https://doi.org/10.1016/j.oneear.2024.05.014
59. Changes in vegetation ecosystem carbon sinks and their response to drought in the karst concentration distribution area of Asia S. Yang et al. https://doi.org/10.1016/j.ecoinf.2024.102907
60. Global mercury emissions from wildfires are three times lower than existing estimates P. Zhang et al. https://doi.org/10.1016/j.oneear.2025.101566
61. Weather and Vegetation Predict Fire Regimes in a Biodiversity Hotspot H. Sousa et al. https://doi.org/10.2139/ssrn.4226704
62. Annual and Seasonal Patterns of Burned Area Products in Arctic-Boreal North America and Russia for 2001–2020 A. Clelland et al. https://doi.org/10.3390/rs16173306
63. Measurement report: Insights into the high temporal variability of atmospheric carbon dioxide (CO2) at a suburban station in the Indo-Gangetic Plain V. Vazhathara et al. https://doi.org/10.5194/acp-26-6929-2026
64. Quantifying CO 2 forcing effects on lightning, wildfires, and climate interactions V. Verjans et al. https://doi.org/10.1126/sciadv.adt5088
65. Recent Advances in Wildland Fire Smoke Dynamics Research in the United States Y. Liu et al. https://doi.org/10.3390/atmos16111221
66. Spatiotemporal changes in global cropland fire activity from 2003 to 2020 J. Wang et al. https://doi.org/10.1016/j.gloplacha.2025.105074
67. The MicrobeAtlas database: Global trends and insights into Earth’s microbial ecosystems J. Matias Rodrigues et al. https://doi.org/10.1016/j.cell.2026.01.021
68. Remote sensing proxies underestimate fire-induced gross primary productivity loss and overestimate recovery in forests X. Fan et al. https://doi.org/10.1016/j.agrformet.2025.110963
69. Earth system responses under a global 2 °C-target scenario aligned with China’s carbon neutrality pledge Y. Lu et al. https://doi.org/10.1088/1748-9326/adfbfb
70. INFERNO-peat v1.0.0: a representation of northern high-latitude peat fires in the JULES-INFERNO global fire model K. Blackford et al. https://doi.org/10.5194/gmd-17-3063-2024
71. The extent of drought determines daily area burned in Canadian forests W. Wang et al. https://doi.org/10.1088/1748-9326/ae2a53
72. An interdisciplinary review of the interplay of conflict, socio‐economic factors, and land cover and vegetation dynamics in Colombia E. Muñoz et al. https://doi.org/10.1002/ppp3.70157
73. A global 500 m dataset of tree crown morphology to advance vegetation modeling and management J. Xiang et al. https://doi.org/10.1016/j.jag.2026.105401
74. The GFDL Variable‐Resolution Global Chemistry‐Climate Model for Research at the Nexus of US Climate and Air Quality Extremes M. Lin et al. https://doi.org/10.1029/2023MS003984
75. Effect of wildfire ash on hydrological properties of coarse-textured soils E. Acuña et al. https://doi.org/10.1016/j.jhydrol.2025.134260
76. Relevance of earth observations of essential climate variables in wildfire adaptation S. Seitzinger et al. https://doi.org/10.1016/j.rse.2025.115082
77. Fire regime impacts on soil microbes, soil organic carbon and ground cover in an Australian tropical savanna M. Blunden et al. https://doi.org/10.1071/WF24035
78. BuRNN (v1.0): a data-driven fire model S. Lampe et al. https://doi.org/10.5194/gmd-19-955-2026
79. H2CM (v1.0): hybrid modeling of global water–carbon cycles constrained by atmospheric and land observations Z. Baghirov et al. https://doi.org/10.5194/gmd-19-4467-2026
80. Priority research directions for wildfire science: views from a historically fire-prone and an emerging fire-prone country K. Little et al. https://doi.org/10.1098/rstb.2024.0001
81. Centennial-scale decline in global fire emissions driven by land use and population growth H. Zhang et al. https://doi.org/10.1016/j.gloplacha.2025.105081
82. California wildfire smoke contributes to a positive atmospheric temperature anomaly over the western United States J. Gomez et al. https://doi.org/10.5194/acp-24-6937-2024
83. First estimation and evaluation of hourly biomass burning emissions in north American high latitudes F. Li et al. https://doi.org/10.1016/j.rse.2025.114814
84. Pyrogenic carbon contribution to tropical savanna soil carbon storage Y. Zhou et al. https://doi.org/10.1038/s41467-025-64699-y
85. Equations to Predict Carbon Monoxide Emissions from Amazon Rainforest Fires S. Gallup et al. https://doi.org/10.3390/fire7120477
86. The Influence of Emission Sources and Meteorological Factors to Long-Term Changes in PM2.5 over China (1980–2022) X. Lu et al. https://doi.org/10.3390/atmos17040359
87. The global spectrum of tree crown architecture T. Jucker et al. https://doi.org/10.1038/s41467-025-60262-x
88. Institutional dimensions of remote sensing capacity for tropical forest monitoring M. von Essen et al. https://doi.org/10.1088/1748-9326/ae7b5e
89. A global behavioural model of human fire use and management: WHAM! v1.0 O. Perkins et al. https://doi.org/10.5194/gmd-17-3993-2024
90. Increase in carbon monoxide (CO) and aerosol optical depth (AOD) observed by satellites in the Northern Hemisphere over the summers of 2008–2023, linked to an increase in wildfires A. Ehret et al. https://doi.org/10.5194/acp-25-6365-2025
91. Pre‐Fire Vegetation Conditions and Topography Shape Burn Mosaics of Siberian Tundra Fire Scars N. Rietze et al. https://doi.org/10.1029/2024JG008608
92. Evaluation of global fire simulations in CMIP6 Earth system models F. Li et al. https://doi.org/10.5194/gmd-17-8751-2024
93. Enhancing seasonal fire predictions with hybrid dynamical and random forest models M. Torres-Vázquez et al. https://doi.org/10.1038/s44304-025-00069-4
94. Regional Prediction of Fire Characteristics Using Machine Learning in Australia Z. Abohaia et al. https://doi.org/10.3390/fire8080330
95. Road fragment edges enhance wildfire incidence and intensity, while suppressing global burned area S. Bowring et al. https://doi.org/10.1038/s41467-024-53460-6
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97. Global wildfire patterns and drivers under climate change H. Bhattarai et al. https://doi.org/10.5194/bg-22-7591-2025
98. Understanding and simulating cropland and non-cropland burning in Europe using the BASE (Burnt Area Simulator for Europe) model M. Forrest et al. https://doi.org/10.5194/bg-21-5539-2024
99. Opinion: Understanding the impacts of agriculture and food systems on atmospheric chemistry is instrumental to achieving multiple Sustainable Development Goals A. Tai et al. https://doi.org/10.5194/acp-25-923-2025
100. Soil moisture determines the maximum drought loss to vegetation in Central Asia Z. Li et al. https://doi.org/10.1016/j.ejrh.2026.103389
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105. Reviews and syntheses: Current perspectives on biosphere research 2024–2025 – eight findings from ecology, sociology, and economics F. Bohn et al. https://doi.org/10.5194/bg-22-2425-2025
106. Fused Satellite Fire Products Reveal Fire Diurnal Cycles and Improve Fire Emission Estimates over North America and East Asia L. Gui et al. https://doi.org/10.3390/rs18010052
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109. Water and fire: Wildfires threaten fish habitats across Brazilian biomes, and protected areas offer insufficient safeguards G. Guedes & F. Araújo https://doi.org/10.1016/j.biocon.2025.111692
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111. Using hydrological modelling to improve the Fire Weather Index system over tropical peatlands of peninsular Malaysia, Sumatra and Borneo J. Mortelmans et al. https://doi.org/10.1071/WF24057
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114. Unravelling spatiotemporal heterogeneity of wildfire carbon dioxide emissions in Southeast Asia: based on a high-resolution inventory L. Xia et al. https://doi.org/10.1016/j.jenvman.2025.125634
115. Global warming amplifies wildfire health burden and reshapes inequality J. Zhao et al. https://doi.org/10.1038/s41586-025-09612-9
116. Heterogeneous impacts of fire-sourced ozone (O3) pollution on global crop yields in the future climate scenarios R. Li et al. https://doi.org/10.5194/acp-25-14501-2025
117. High Resolution (30 m) Burned Area Product Improves the Ability for Carbon Emission Estimation in Africa B. Qi et al. https://doi.org/10.1029/2024EF005051
118. Soil and Water Bioengineering in Fire-Prone Lands: Detecting Erosive Areas Using RUSLE and Remote Sensing Methods M. Maxwald et al. https://doi.org/10.3390/fire7090319
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122. Global atmospheric inversion of the anthropogenic NH3 emissions over 2019–2022 using the LMDZ-INCA chemistry transport model and the IASI NH3 observations P. Kumar et al. https://doi.org/10.5194/acp-25-12379-2025
123. Attribution of summer 2022 extreme wildfire season in Southwest France to anthropogenic climate change M. Lanet et al. https://doi.org/10.1038/s41612-024-00821-z
124. Rhamnolipids in lignocellulosic biorefineries: dual roles in waste valorization and process intensification Y. Raheja et al. https://doi.org/10.1007/s13205-026-04816-w
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126. The global hydrogen budget Z. Ouyang et al. https://doi.org/10.1038/s41586-025-09806-1
127. Mapping Soil Burn Severity and Crown Scorch Percentage with Sentinel-2 in Seasonally Dry Deciduous Oak and Pine Forests in Western Mexico O. Balcázar Medina et al. https://doi.org/10.3390/rs17132307
128. Reconstructed global monthly burned area maps from 1901 to 2020 Z. Guo et al. https://doi.org/10.5194/essd-17-3599-2025
129. Early Fire Detection with Higher Sensitivity and Timeliness: Porting the RST-FIRES Algorithm to Rapid Scan Geostationary Data A. Falconieri et al. https://doi.org/10.3390/rs18111861
130. Understanding drivers and biases of simulated CO emissions from the INFERNO fire model over South America M. Velásquez-García et al. https://doi.org/10.5194/bg-23-1341-2026
131. Climate, vegetation, people: disentangling the controls of fire at different timescales S. Harrison et al. https://doi.org/10.1098/rstb.2023.0464
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135. Combined CO2 measurement record indicates Amazon forest carbon uptake is offset by savanna carbon release S. Botía et al. https://doi.org/10.5194/acp-25-6219-2025
136. Substantial discrepancies across global fire emissions inventories: a systematic intercomparison J. Yang et al. https://doi.org/10.1016/j.jes.2026.105563
137. Development of a statistical model for global burned area simulation within a DGVM-compatible framework B. Kavhu et al. https://doi.org/10.5194/bg-22-7001-2025
138. Wildfire risk for species under climate change X. Yang et al. https://doi.org/10.1038/s41558-026-02600-5
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145. Influence of country development levels and agricultural burning policies on global cropland biomass burning observed from satellites S. An et al. https://doi.org/10.1088/1748-9326/ae1b1d
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150. Declining Δ17O of nitrate in the northeastern Tibetan Plateau reveals changing atmospheric oxidative capacity X. Yan et al. https://doi.org/10.1038/s43247-026-03266-9
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