13 citations as recorded by crossref.

1. Estimating dead fine fuel moisture content of forest surface, based on wireless sensor network and back-propagation neural network W. Lei et al. https://doi.org/10.1071/WF21066
2. Characterizing Alpine pyrogeography from fire statistics M. Conedera et al. https://doi.org/10.1016/j.apgeog.2018.07.011
3. Fire Danger Observed from Space M. Pettinari & E. Chuvieco https://doi.org/10.1007/s10712-020-09610-8
4. Characterizing the Holdover Phase of Lightning-Ignited Wildfires in Catalonia N. Pineda et al. https://doi.org/10.2139/ssrn.4022142
5. Unusual late-fall wildfire in a pre-Alpine Fagus sylvatica forest reduced fine roots in the shallower soil layer and shifted very fine-root growth to deeper soil depth A. Montagnoli et al. https://doi.org/10.1038/s41598-023-33580-7
6. Insights into post-fire establishment of three Alpine conifer species after an experimental fire in Tyrol, Austria Z. Chen et al. https://doi.org/10.3389/fpls.2026.1771923
7. Towards an integrated forest fire danger assessment system for the European Alps M. Müller et al. https://doi.org/10.1016/j.ecoinf.2020.101151
8. Quantifying the effects of topographic aspect on water content and temperature in fine surface fuel P. Nyman et al. https://doi.org/10.1071/WF14195
9. Eco-hydrological controls on microclimate and surface fuel evaporation in complex terrain P. Nyman et al. https://doi.org/10.1016/j.agrformet.2017.12.255
10. Estimation of surface dead fine fuel moisture using automated fuel moisture sticks across a range of forests worldwide J. Cawson et al. https://doi.org/10.1071/WF19061
11. Application of Facebook’s Prophet Model for Forecasting Meteorological Data J. Kim & T. Kim https://doi.org/10.9798/KOSHAM.2021.21.2.53
12. Potential influence of meteorological variables on forest fire risk in Serbia during the period 2000-2017 I. Tošić et al. https://doi.org/10.1515/geo-2019-0033
13. Hillslope-scale prediction of terrain and forest canopy effects on temperature and near-surface soil moisture deficit S. Walsh et al. https://doi.org/10.1071/WF16106