20 citations as recorded by crossref.

1. Searching the right tie—Expert-based vs. statistical niche modeling for habitat management at the alpine treeline ecotone F. Sachser et al. https://doi.org/10.1016/j.ecoleng.2016.12.009
2. Comparison of the Spatial Wind Erosion Patterns of Erosion Risk Mapping and Quantitative Modeling in Eastern Austria S. Scheper et al. https://doi.org/10.3390/land10090974
3. Multi time-scale evaluation of high-resolution satellite-based precipitation products over northeast of Austria E. Sharifi et al. https://doi.org/10.1016/j.atmosres.2018.02.020
4. Patterns and drivers of deadwood volume and composition in different forest types of the Austrian natural forest reserves J. Oettel et al. https://doi.org/10.1016/j.foreco.2020.118016
5. Morphometric and genetic evidence for cattle imports from the Mediterranean into present-day Austria during the Iron Age K. Saliari et al. https://doi.org/10.1016/j.jasrep.2023.103842
6. Labile not stable SOC fractions constitute the manageable drivers of soil health advances in carbon farming S. Wieser et al. https://doi.org/10.1016/j.geoderma.2024.116991
7. Correction of broadband snow albedo measurements affected by unknown slope and sensor tilts U. Weiser et al. https://doi.org/10.5194/tc-10-775-2016
8. Land tenure, soil conservation, and farm performance: An eco-efficiency analysis of Austrian crop farms A. Eder et al. https://doi.org/10.1016/j.ecolecon.2020.106861
9. Climate influences on the maximum size-density relationship in Scots pine ( Pinus sylvestris L.) and European beech ( Fagus sylvatica L.) stands S. Condés et al. https://doi.org/10.1016/j.foreco.2016.10.059
10. Error Structure of Metastatistical and Generalized Extreme Value Distributions for Modeling Extreme Rainfall in Austria H. Schellander et al. https://doi.org/10.1029/2019EA000557
11. Extreme weather exposure identification for road networks – a comparative assessment of statistical methods M. Schlögl & G. Laaha https://doi.org/10.5194/nhess-17-515-2017
12. Modeling snow depth extremes in Austria H. Schellander & T. Hell https://doi.org/10.1007/s11069-018-3481-y
13. Predicting spring migration of two European amphibian species with plant phenology using citizen science data M. Peer et al. https://doi.org/10.1038/s41598-021-00912-4
14. High‐resolution temperature climatology for Italy: interpolation method intercomparison M. Brunetti et al. https://doi.org/10.1002/joc.3764
15. Copula-based stochastic uncertainty analysis of satellite precipitation products E. Sharifi et al. https://doi.org/10.1016/j.jhydrol.2019.01.035
16. Unheated soil-grown winter vegetables in Austria: Greenhouse gas emissions and socio-economic factors of diffusion potential M. Theurl et al. https://doi.org/10.1016/j.jclepro.2017.03.016
17. Radar-based severe storm climatology for Austrian complex orography related to vertical wind shear and atmospheric instability R. Kaltenboeck & M. Steinheimer https://doi.org/10.1016/j.atmosres.2014.08.006
18. Data on yield and soil parameters of three diverse tilled long-term experimental sites in Austria (2018–2022) A. Tiefenbacher et al. https://doi.org/10.1038/s41597-025-05086-6
19. Exploring the link between meteorological drought and streamflow: Effects of climate‐catchment interaction K. Haslinger et al. https://doi.org/10.1002/2013WR015051
20. The high alpine bee fauna (Hymenoptera: Apoidea) of the Zillertal Alps, Austria S. Bossert https://doi.org/10.3897/BDJ.2.e1115