14 citations as recorded by crossref.

1. An integrated object-based image analysis and CA-Markov model approach for modeling land use/land cover trends in the Sarab plain A. Naboureh et al. https://doi.org/10.1007/s12517-017-3012-2
2. Settlement Suitability Analysis of Local Ground Characteristics in Iskenderun: A Case Study M. Değerliyurt https://doi.org/10.1016/j.sbspro.2014.02.144
3. Growing City and Rapid Land Use Transition: Assessing Multiple Hazards and Risks in the Pokhara Valley, Nepal B. Rimal et al. https://doi.org/10.3390/land4040957
4. Earthquake risk–sensitive model for urban land use planning H. Motamed et al. https://doi.org/10.1007/s11069-020-03960-7
5. GIS – Based Land Suitability Analysis in Cigli District N. Partigöç https://doi.org/10.17671/gazibtd.304355
6. Predicting Land Use Changes in Philadelphia Following Green Infrastructure Policies C. Shade & P. Kremer https://doi.org/10.3390/land8020028
7. Spatio-temporal dynamics in seismic exposure of Asian megacities: past, present and future G. Mestav Sarica et al. https://doi.org/10.1088/1748-9326/ababc7
8. Performance of CA_Markov and DINAMICA EGO models to evaluate urban risk in Antofagasta and Mejillones, Chile C. Henríquez et al. https://doi.org/10.1007/s11069-024-06512-5
9. Future urban seismic risk scenarios using a cellular automata model D. Navarro et al. https://doi.org/10.1080/09654313.2019.1706724
10. Modelling Urban Sprawl Using Remotely Sensed Data: A Case Study of Chennai City, Tamilnadu R. Padmanaban et al. https://doi.org/10.3390/e19040163
11. The Archaeology of a Landslide: Unravelling the Azores Earthquake Disaster of 1522 and its Consequences C. Gerrard et al. https://doi.org/10.1017/eaa.2021.4
12. Assessing Mozambique's exposure to coastal climate hazards and erosion P. Cabral et al. https://doi.org/10.1016/j.ijdrr.2017.04.002
13. Rapid Urban Land Expansion in Earthquake-Prone Areas of China Q. Huang et al. https://doi.org/10.1007/s13753-018-0207-4
14. A Global Analysis of the Relationship Between Urbanization and Fatalities in Earthquake-Prone Areas C. He et al. https://doi.org/10.1007/s13753-021-00385-z