28 citations as recorded by crossref.

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4. SPLASH: semi-empirical prediction of landslide-generated displacement wave run-up heights T. Oppikofer et al. https://doi.org/10.1144/SP477.1
5. Statistical modelling of Europe-wide landslide susceptibility using limited landslide inventory data M. Van Den Eeckhaut et al. https://doi.org/10.1007/s10346-011-0299-z
6. Holocene aeolian sedimentation and episodic mass-wasting events recorded in lacustrine sediments on Langøya in Vesterålen, northern Norway P. Nielsen et al. https://doi.org/10.1016/j.quascirev.2016.07.011
7. Present and future changes in winter climate indices relevant for access disruptions in Troms, northern Norway A. Dyrrdal et al. https://doi.org/10.5194/nhess-20-1847-2020
8. Identification of landslide hazard and risk ‘hotspots’ in Europe C. Jaedicke et al. https://doi.org/10.1007/s10064-013-0541-0
9. Database and online map service on unstable rock slopes in Norway — From data perpetuation to public information T. Oppikofer et al. https://doi.org/10.1016/j.geomorph.2015.08.005
10. Adapting the EDuMaP method to test the performance of the Norwegian early warning system for weather-induced landslides L. Piciullo et al. https://doi.org/10.5194/nhess-17-817-2017
11. Hydrometeorological threshold conditions for debris flow initiation in Norway N. Meyer et al. https://doi.org/10.5194/nhess-12-3059-2012
12. Earthquake-induced landslides in Norway M. Sørensen et al. https://doi.org/10.5194/nhess-23-1577-2023
13. The landslide database for Germany: Closing the gap at national level B. Damm & M. Klose https://doi.org/10.1016/j.geomorph.2015.03.021
14. Responsible Artificial Intelligence for Earth Observation: Achievable and realistic paths to serve the collective good P. Ghamisi et al. https://doi.org/10.1109/MGRS.2025.3529726
15. Assessment of data availability for the development of landslide fatality curves T. Grahn & H. Jaldell https://doi.org/10.1007/s10346-016-0775-6
16. Anatomy of a Catastrophe: Reconstructing the 1936 Rock Fall and Tsunami Event in Lake Lovatnet, Western Norway N. Waldmann et al. https://doi.org/10.3389/feart.2021.671378
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18. Historical geospatial database for landslide analysis: the Catalogue of Landslide OCcurrences in the Emilia-Romagna Region (CLOCkER) D. Piacentini et al. https://doi.org/10.1007/s10346-018-0962-8
19. Why did the 1756 Tjellefonna rockslide occur? A back-analysis of the largest historic rockslide in Norway G. Sandøy et al. https://doi.org/10.1016/j.geomorph.2016.08.016
20. A regional early warning for slushflow hazard M. Sund et al. https://doi.org/10.5194/nhess-24-1185-2024
21. Deep neural network framework for predicting debris flow entrainment growth rate in diverse terrain conditions C. Song et al. https://doi.org/10.1007/s10346-026-02777-y
22. Integrating field measurements, a geomorphological map and stochastic modelling to estimate the spatially distributed rockfall sediment budget of the Upper Kaunertal, Austrian Central Alps T. Heckmann et al. https://doi.org/10.1016/j.geomorph.2015.07.003
23. Lifeline Issue in Social Vulnerability Indexing: A Review of Indicators and Discussion of Indicator Application I. Holand https://doi.org/10.1061/(ASCE)NH.1527-6996.0000148
24. Roads at risk: traffic detours from debris flows in southern Norway N. Meyer et al. https://doi.org/10.5194/nhess-15-985-2015
25. Major impacts of climate change on deep-sea benthic ecosystems A. Sweetman et al. https://doi.org/10.1525/elementa.203
26. Spatial distribution, temporal trends and impact of landslides on São Miguel Island from 1900 to 2020 based on an analysis of the Azores historical natural hazards database R. Silva et al. https://doi.org/10.1007/s11069-023-06296-0
27. State of the art of national landslide databases in Europe and their potential for assessing landslide susceptibility, hazard and risk M. Van Den Eeckhaut & J. Hervás https://doi.org/10.1016/j.geomorph.2011.12.006
28. Globally vs. Locally Trained Machine Learning Models for Landslide Detection: A Case Study of a Glacial Landscape A. Ganerød et al. https://doi.org/10.3390/rs15040895