31 citations as recorded by crossref.

1. Application of analytic hierarchy process, frequency ratio, and statistical index to landslide susceptibility: an approach to endangered cultural heritage I. Nicu https://doi.org/10.1007/s12665-018-7261-5
2. GIS-based evaluation of diagnostic areas in landslide susceptibility analysis of Bahluieț River Basin (Moldavian Plateau, NE Romania). Are Neolithic sites in danger? I. Nicu & A. Asăndulesei https://doi.org/10.1016/j.geomorph.2018.04.010
3. Mapping landslide susceptibility at national scale by spatial multi-criteria evaluation A. Grozavu & C. Patriche https://doi.org/10.1080/19475705.2021.1914752
4. Landscape functional zoning at a county level based on ecosystem services bundle: Methods comparison and management indication Y. Liu et al. https://doi.org/10.1016/j.jenvman.2019.109315
5. Regional land ecological security evaluation and ecological poverty alleviation practice: A case study of Yangxian County in Shaanxi Province, China X. Zhang et al. https://doi.org/10.1007/s11442-022-1967-8
6. Implications of future land-use/cover pattern change on landslide susceptibility at a national level: A scenario-based analysis in Romania M. Jurchescu et al. https://doi.org/10.1016/j.catena.2023.107330
7. Assessing soil fertility index based on remote sensing and gis techniques with field validation in a semiarid agricultural ecosystem T. Tunçay et al. https://doi.org/10.1016/j.jaridenv.2021.104525
8. A frequency ratio–based sampling strategy for landslide susceptibility assessment L. Liu et al. https://doi.org/10.1007/s10064-022-02836-3
9. Improving landslide susceptibility mapping using morphometric features in the Mawat area, Kurdistan Region, NE Iraq: Comparison of different statistical models A. Othman et al. https://doi.org/10.1016/j.geomorph.2018.07.018
10. Spatio-Statistical Analysis of Flood Susceptibility Assessment Using Bivariate Model in the Floodplain of River Swat, District Charsadda, Pakistan M. Moazzam et al. https://doi.org/10.4236/gep.2020.85010
11. Spatial assessment of flash‐flood vulnerability in the Moldova river catchment (N Romania) using theFFPI M. Popa et al. https://doi.org/10.1111/jfr3.12624
12. A Comparative Analysis of Binary Logistic Regression and Analytical Hierarchy Process for Landslide Susceptibility Assessment in the Dobrov River Basin, Romania C. PATRICHE et al. https://doi.org/10.1016/S1002-0160(15)60047-9
13. Multi-hazard modeling of erosion and landslide susceptibility at the national scale in the example of North Macedonia I. Milevski et al. https://doi.org/10.1515/geo-2022-0718
14. A benchmark dataset and workflow for landslide susceptibility zonation M. Alvioli et al. https://doi.org/10.1016/j.earscirev.2024.104927
15. Landslide susceptibility assessment under future seismic and precipitation scenarios: a case study of the 2014 Mw 6.2 Ludian earthquake zone, Yunnan, China Y. Xia et al. https://doi.org/10.1080/19475705.2025.2611029
16. Flash-flood potential assessment and mapping by integrating the weights-of-evidence and frequency ratio statistical methods in GIS environment – case study: Bâsca Chiojdului River catchment (Romania) R. Costache & L. Zaharia https://doi.org/10.1007/s12040-017-0828-9
17. Natural risk assessment and mitigation of cultural heritage sites in North‐eastern Romania (Valea Oii river basin) I. Nicu https://doi.org/10.1111/area.12433
18. A Combined Weight of Evidence and Logistic Regression Method for Susceptibility Mapping of Earthquake‐induced Landslides: A Case Study of the April 20, 2013 Lushan Earthquake, China Z. Suhua et al. https://doi.org/10.1111/1755-6724.12687
19. Landslide susceptibility mapping for the Black Sea Region with spatial fuzzy multi-criteria decision analysis under semi-humid and humid terrestrial ecosystems İ. Turan et al. https://doi.org/10.1007/s00704-020-03126-2
20. Susceptibility of reservoir-induced landslides and strategies for increasing the slope stability in the Three Gorges Reservoir Area: Zigui Basin as an example C. Li et al. https://doi.org/10.1016/j.enggeo.2019.105279
21. Evaluating failure regime of an active landslide using instability and rockfall simulation, NW Himalaya I. Jamir et al. https://doi.org/10.1007/s12665-024-11540-2
22. Mapping of landslide-prone areas in the Lisu river basin Barru Regency based on binary logistic regression I. Sudarman & A. Ahmad https://doi.org/10.1088/1755-1315/807/2/022081
23. Assessment of Land Ecological Security and Analysis of Influencing Factors in Chaohu Lake Basin, China from 1998–2018 M. Wen et al. https://doi.org/10.3390/su13010358
24. The next step in suburban rural revitalization: Integrated whole-process landscape management linking ecosystem services and landscape characteristics H. Yang et al. https://doi.org/10.1016/j.ecolind.2024.111999
25. High-Resolution Lidar-Derived DEM for Landslide Susceptibility Assessment Using AHP and Fuzzy Logic in Serdang, Malaysia J. Okoli et al. https://doi.org/10.3390/geosciences13020034
26. An integrated landslide susceptibility model to assess landslides along linear infrastructure for environmental management E. Sujatha https://doi.org/10.1007/s12665-021-09747-8
27. GIS-based landslide spatial modeling in Ganzhou City, China H. Hong et al. https://doi.org/10.1007/s12517-015-2094-y
28. Landslide susceptibility mapping of the Sera River Basin using logistic regression model N. Raja et al. https://doi.org/10.1007/s11069-016-2591-7
29. Statistical and expert-based landslide susceptibility modeling on a national scale applied to North Macedonia I. Milevski et al. https://doi.org/10.1515/geo-2019-0059
30. Influence of shrub root combinations and spacing on slope stability: study case at the Yongding River flooding regime, Langfang, China J. Han et al. https://doi.org/10.1007/s11356-022-20409-5
31. Predictive Modelling of Landslide Susceptibility in the Western Carpathian Flysch Zone M. Barančoková et al. https://doi.org/10.3390/land10121370