17 citations as recorded by crossref.

1. Uncertainty in geological interpretations: Effectiveness of expert elicitations C. Randle et al. 10.1130/GES01586.1
2. Uncertainty in mapped geological boundaries held by a national geological survey:eliciting the geologists' tacit error model R. Lark et al. 10.5194/se-6-727-2015
3. Quantifying spatial uncertainty in rock through geostatistical integration of borehole data and a geologist's cross-section D. Boyd et al. 10.1016/j.enggeo.2019.105246
4. Drillhole uncertainty propagation for three-dimensional geological modeling using Monte Carlo E. Pakyuz-Charrier et al. 10.1016/j.tecto.2018.09.005
5. Hydrogeological Model Selection Among Complex Spatial Priors C. Brunetti et al. 10.1029/2019WR024840
6. Decisions, uncertainty and spatial information R. Lark et al. 10.1016/j.spasta.2022.100619
7. Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and parameterization E. Pakyuz-Charrier et al. 10.5194/se-9-385-2018
8. Landscapes and landforms connected with anthropogenic processes over three millennia: The Servian Walls at the Esquiline Hill (Rome, Italy) G. Luberti & M. Del Monte 10.1177/0959683620950460
9. 3D Parametric Modeling of Complex Geological Structures for Geotechnical Engineering of Dam Foundation Based on T‐Splines Y. Zhang et al. 10.1111/mice.12343
10. Geotechnical uncertainty, modeling, and decision making K. Phoon et al. 10.1016/j.sandf.2022.101189
11. Prior geological knowledge enhanced Markov random field for development of geological cross-sections from sparse data Z. Qian & C. Shi 10.1016/j.compgeo.2024.106587
12. <i>dh2loop</i> 1.0: an open-source Python library for automated processing and classification of geological logs R. Joshi et al. 10.5194/gmd-14-6711-2021
13. Quantification of the uncertainty of geoscientific maps relying on human sensory engagement J. Asadi et al. 10.1007/s12665-024-11870-1
14. An automated method for topology consistent processing of parallel geological cross-sections based on topology reasoning Y. Chen et al. 10.1016/j.cageo.2023.105442
15. Can uncertainty in geological cross-section interpretations be quantified and predicted? C. Randle et al. 10.1130/GES01510.1
16. Comparing geomorphological maps made manually and by deep learning W. van der Meij et al. 10.1002/esp.5305
17. Fracking bad language – hydraulic fracturing and earthquake risks J. Roberts et al. 10.5194/gc-4-303-2021