iForest-Biogeosciences and Forestry

Papers
(The H4-Index of iForest-Biogeosciences and Forestry is 11. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Perspectives of plantation forests in the sustainable forest development of China41
Are we ready for a National Forest Information System? State of the art of forest maps and airborne laser scanning data availability in Italy25
Assessing the performance of MODIS and VIIRS active fire products in the monitoring of wildfires: a case study in Turkey19
Harmonized dataset of surface fuels under Alpine, temperate and Mediterranean conditions in Italy. A synthesis supporting fire management19
Short-term effects in canopy gap area on the recovery of compacted soil caused by forest harvesting in old-growth Oriental beech (Fagus orientalis Lipsky) stands15
Improving sustainability in wood coating: testing lignin and cellulose nanocrystals as additives to commercial acrylic wood coatings for bio-building15
Universal reaction norms for the sustainable cultivation of hybrid poplar clones under climate change in Italy15
Soil fungal communities across land use types14
The natural recovery of disturbed soil, plant cover and trees after clear-cutting in the boreal forests, Russia13
Long-term effects of thinning and mixing on stand spatial structure: a case study of Chinese fir plantations13
A geographically weighted deep neural network model for research on the spatial distribution of the down dead wood volume in Liangshui National Nature Reserve (China)12
Climate change impacts on spatial distribution, tree-ring growth, and water use of stone pine (Pinus pinea L.) forests in the Mediterranean region and silvicultural practices to limit those impacts11
Determination of differences in temperature regimes on healthy and bark-beetle colonised spruce trees using a handheld thermal camera11
Predictive capacity of nine algorithms and an ensemble model to determine the geographic distribution of tree species11
0.037254095077515