40 citations as recorded by crossref.

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2. Towards a workflow to evaluate geological layering uncertainty onCO2injection simulation C. Legentil et al. 10.1016/j.acags.2023.100118
3. A knowledge-driven modeling formalism for automatic structural interpretation I. Laouici et al. 10.1007/s12145-024-01613-y
4. Structural Modeling Based on Human–Computer Knowledge Interaction X. Zhan et al. 10.1007/s11770-023-1017-z
5. Bayesian fusion of MT and AEM probabilistic models with geological data: examples from the eastern Gawler Craton, South Australia H. Seillé et al. 10.1080/08123985.2023.2222766
6. Incorporating geological structure into sensitivity analysis of subsurface contaminant transport L. Bigler et al. 10.1016/j.advwatres.2024.104885
7. Integration of automatic implicit geological modelling in deterministic geophysical inversion J. Giraud et al. 10.5194/se-15-63-2024
8. Assessing the impact of conceptual mineral systems uncertainty on prospectivity predictions M. Lindsay et al. 10.1016/j.gsf.2022.101435
9. Knowledge-driven stochastic modeling of geological geometry features conditioned on drillholes and outcrop contacts X. Wei et al. 10.1016/j.cageo.2024.105779
10. Integrated framework for geological modeling: integration of data, knowledge, and methods H. Li et al. 10.1007/s10064-024-03794-8
11. Three-dimensional geological modelling of igneous intrusions in LoopStructural v1.5.10 F. Alvarado-Neves et al. 10.5194/gmd-17-1975-2024
12. Geologically constrained geometry inversion and null-space navigation to explore alternative geological scenarios: a case study in the Western Pyrenees J. Giraud et al. 10.1093/gji/ggae192
13. The influence of variable anisotropic search parameters on implicitly-modelled volumes and estimated contained metal in a structurally-complex gold deposit B. Stoch et al. 10.1016/j.oregeorev.2022.104719
14. Progressive Geological Modeling and Uncertainty Analysis Using Machine Learning H. Li et al. 10.3390/ijgi12030097
15. 3D structural implicit modelling of folded metamorphic units at Lago di Cignana with uncertainty assessment G. Arienti et al. 10.1016/j.jsg.2024.105329
16. A domain-decomposition-based parallel approach for 3D geological modeling using radial basis functions interpolation on GPUs H. Li et al. 10.1007/s12145-024-01588-w
17. 3D geometry of the Dugald River Shear Zone, Mount Isa Inlier, Australia P. Creus et al. 10.1080/08120099.2024.2410831
18. Regional-scale 3D modelling in metamorphic belts: An implicit model-driven workflow applied in the Pennine Alps G. Arienti et al. 10.1016/j.jsg.2023.105045
19. Spatial agents for geological surface modelling E. de Kemp 10.5194/gmd-14-6661-2021
20. Modelling of faults in LoopStructural 1.0 L. Grose et al. 10.5194/gmd-14-6197-2021
21. Three-Dimensional Geologic Modeling of the Kiruna Mining District, Sweden: Insights into the Crustal Architecture and Structural Controls on Iron Oxide-Apatite Mineralization E. Veress et al. 10.5382/econgeo.5080
22. Impact of permeability anisotropy misalignment on flow rates predicted by hydrogeological models T. Poulet et al. 10.1007/s10040-023-02708-4
23. Maximising the value of hyperspectral drill core scanning through real-time processing and analysis S. Thiele et al. 10.3389/feart.2024.1433662
24. Fault representation in structural modelling with implicit neural representations K. Gao & F. Wellmann 10.1016/j.cageo.2025.105911
25. AdaHRBF v1.0: gradient-adaptive Hermite–Birkhoff radial basis function interpolants for three-dimensional stratigraphic implicit modeling B. Zhang et al. 10.5194/gmd-16-3651-2023
26. Using 3D models to test geological hypotheses for sill complex geometries: Application to Jurassic dolerite intrusions, Tasmania F. Alvarado-Neves et al. 10.1016/j.jsg.2025.105420
27. The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials P. Ghamisi et al. 10.1109/JSTARS.2021.3108049
28. 3D structural modeling for seismic exploration based on knowledge graphs X. Zhan et al. 10.1190/geo2020-0924.1
29. A new methodology using borehole data to measure angular distances between geological interfaces M. Michalak et al. 10.1007/s12145-023-01015-6
30. Automated geological map deconstruction for 3D model construction using map2loop 1.0 and map2model 1.0 M. Jessell et al. 10.5194/gmd-14-5063-2021
31. Utilisation of probabilistic magnetotelluric modelling to constrain magnetic data inversion: proof-of-concept and field application J. Giraud et al. 10.5194/se-14-43-2023
32. Blockworlds 0.1.0: a demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models R. Scalzo et al. 10.5194/gmd-15-3641-2022
33. Variational Gaussian processes for implicit geological modeling Í. Gonçalves et al. 10.1016/j.cageo.2023.105323
34. Stratigraphy and Basin Analysis of the West Rand Group, Witwatersrand Supergroup N. Beukes et al. 10.25131/sajg.127.0015
35. GeoINR 1.0: an implicit neural network approach to three-dimensional geological modelling M. Hillier et al. 10.5194/gmd-16-6987-2023
36. Cooperative geophysical inversion integrated with 3-D geological modelling in the Boulia region, QLD M. Rashidifard et al. 10.1093/gji/ggae179
37. Structural Uncertainty Due to Fault Timing: A Multimodel Case Study from the Perth Basin K. Bardot et al. 10.1111/gwat.13429
38. An algorithm for identifying stratigraphic piles from interpreted boreholes L. Schorpp et al. 10.3389/feart.2024.1461658
39. loopUI-0.1: indicators to support needs and practices in 3D geological modelling uncertainty quantification G. Pirot et al. 10.5194/gmd-15-4689-2022
40. LoopStructural 1.0: time-aware geological modelling L. Grose et al. 10.5194/gmd-14-3915-2021