20 citations as recorded by crossref.

1. Modeling windthrow through remote sensing and analysis of environmental factors: Case of Bolu, Türkiye T. Çınar & A. Aydın https://doi.org/10.1007/s10661-025-14529-x
2. Accurate Measurement and Assessment of Typhoon-Related Damage to Roadside Trees and Urban Forests Using the Unmanned Aerial Vehicle L. Qin et al. https://doi.org/10.3390/rs14092093
3. High resolution assessment of forest wind risk under historical and future climate conditions T. Baggio et al. https://doi.org/10.1007/s10584-026-04203-7
4. The benefits of emergency rescue and reanalysis data in decadal storm damage assessment studies P. Jokinen et al. https://doi.org/10.5194/asr-12-97-2015
5. Characteristics of Forest Windthrow Produced in Eastern Carpathians in February 2020 M. Ciocirlan & V. Câmpu https://doi.org/10.3390/f15010176
6. Development of a forest structural complexity index based on multispectral airborne remote sensing and topographic dataThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time. J. Pasher & D. King https://doi.org/10.1139/X10-175
7. Comparison and validation of three versions of a forest wind risk model S. Hale et al. https://doi.org/10.1016/j.envsoft.2015.01.016
8. Modelling the wind damage probability in forests in Southwestern Germany for the 1999 winter storm ‘Lothar’ D. Schindler et al. https://doi.org/10.1007/s00484-009-0242-3
9. Forest susceptibility to storm damage is affected by similar factors regardless of storm type: Comparison of thunder storms and autumn extra-tropical cyclones in Finland S. Suvanto et al. https://doi.org/10.1016/j.foreco.2016.09.005
10. Dynamics of sting‐jet storm Egon over continental Europe: Impact of surface properties and model resolution L. Eisenstein et al. https://doi.org/10.1002/qj.3666
11. A satellite-derived database for stand-replacing windthrow events in boreal forests of European Russia in 1986–2017 A. Shikhov et al. https://doi.org/10.5194/essd-12-3489-2020
12. Assessing and forecasting the influence of environmental controls on windstorm disturbances in the Central Low Tatras, through regression models V. Šagát et al. https://doi.org/10.2478/mgr-2023-0020
13. Increasing storm damage to forests in Switzerland from 1858 to 2007 T. Usbeck et al. https://doi.org/10.1016/j.agrformet.2009.08.010
14. Integrated methodology to assess windthrow impacts on forest stands under climate change M. Klaus et al. https://doi.org/10.1016/j.foreco.2011.02.002
15. Relating remotely sensed forest damage data to wind data: storms Lothar (1999) and Vivian (1990) in Switzerland T. Usbeck et al. https://doi.org/10.1007/s00704-011-0526-5
16. Unravelling wind-driven impact of storm clusters, a case study for the insurer Generali France L. Hasbini et al. https://doi.org/10.5194/nhess-26-2817-2026
17. Forest Regeneration Patterns Differ Considerably between Sites with and without Windthrow Wood Logging in the High Tatra Mountains B. Konôpka et al. https://doi.org/10.3390/f12101349
18. Multi-proxy documentation of past storm events in a mid-latitude coastal environment P. Pouzet et al. https://doi.org/10.1016/j.catena.2025.109118
19. Mapping the risk of winter storm damage using GIS-based fuzzy logic A. Akay & İ. Taş https://doi.org/10.1007/s11676-019-00904-1
20. Investigation of the Effect of Topography and Stand Structure on Windthrow Damages: A Case Study from Düzce, Türkiye Y. TÜRK et al. https://doi.org/10.17475/kastorman.1394951