| First hyperspectral imaging survey of the deep seafloor: High-resolution mapping of manganese nodules I Dumke, SM Nornes, A Purser, Y Marcon, M Ludvigsen, SL Ellefmo, ... Remote Sensing of Environment 209, 19-30, 2018 | 103 | 2018 |
| Rock classification using multivariate analysis of measurement while drilling data: Towards a better sampling strategy VS Vezhapparambu, J Eidsvik, SL Ellefmo Minerals 8 (9), 384, 2018 | 43 | 2018 |
| Local and spatial joint frequency uncertainty and its application to rock mass characterisation SL Ellefmo, J Eidsvik Rock mechanics and rock engineering 42, 667-688, 2009 | 40 | 2009 |
| Underwater hyperspectral imaging using a stationary platform in the Trans-Atlantic Geotraverse hydrothermal field I Dumke, M Ludvigsen, SL Ellefmo, F Søreide, G Johnsen, BJ Murton IEEE Transactions on Geoscience and Remote Sensing 57 (5), 2947-2962, 2018 | 32 | 2018 |
| Numerical modelling of rock mass deformation in sublevel caving mining system J Blachowski, S Ellefmo Acta Geodynamica et Geomaterialia 9 (3), 167, 2012 | 30 | 2012 |
| Probabilistic estimates of permissive areas for undiscovered seafloor massive sulfide deposits on an Arctic Mid-Ocean Ridge C Juliani, SL Ellefmo Ore Geology Reviews 95, 917-930, 2018 | 28 | 2018 |
| Prospectivity mapping of mineral deposits in Northern Norway using radial basis function neural networks C Juliani, SL Ellefmo Minerals 9 (2), 131, 2019 | 25 | 2019 |
| Geometallurgy applied to industrial minerals operations K Aasly, S Ellefmo Mineralproduksjon 5, A21-A34, 2014 | 25 | 2014 |
| ROV based drilling for deep sea mining exploration M Ludvigsen, K Aasly, S Ellefmo, M Zylstra, M Pardey OCEANS 2017-Aberdeen, 1-6, 2017 | 22 | 2017 |
| Resource assessment of undiscovered seafloor massive sulfide deposits on an Arctic mid-ocean ridge: Application of grade and tonnage models C Juliani, SL Ellefmo Ore geology reviews 102, 818-828, 2018 | 21 | 2018 |
| The value of information in mineral exploration within a multi-gaussian framework J Eidsvik, SL Ellefmo Mathematical Geosciences 45, 777-798, 2013 | 19 | 2013 |
| Mineral characterization as a tool in the implementation of geometallurgy into industrial mineral mining AM Lang, K Aasly, SL Ellefmo Minerals Engineering 116, 114-122, 2018 | 17 | 2018 |
| MarMine cruise report-Arctic Mid-Ocean Ridge 15.08. 2016-05.09. 2016 M Ludvigsen, K Aasly, SL Ellefmo, A Hilário, E Ramirez-Llodra, ... NTNU, 2016 | 15 | 2016 |
| Geometallurgical flowsheet as a tool for designing and communicating geometallurgical programs AM Lang, SL Ellefmo, K Aasly Minerals 8 (9), 372, 2018 | 14 | 2018 |
| Economic block model development for mining seafloor massive sulfides M Lesage, C Juliani, SL Ellefmo Minerals 8 (10), 468, 2018 | 13 | 2018 |
| Multi-scale quantitative risk analysis of seabed minerals: Principles and application to seafloor massive sulfide prospects C Juliani, SL Ellefmo Natural Resources Research 28, 909-930, 2019 | 12 | 2019 |
| Geometallurgical approach to the element-to-mineral conversion for the Nabbaren nepheline syenite deposit C Mena Silva, BE Sørensen, K Aasly, SL Ellefmo Minerals 8 (8), 325, 2018 | 11 | 2018 |
| Application of soft data in nodule resource estimation SL Ellefmo, T Kuhn Natural Resources Research 30 (2), 1069-1091, 2021 | 10 | 2021 |
| A neural network approach for spatial variation assessment–A nepheline syenite case study CAM Silva, SL Ellefmo, R Sandøy, BE Sørensen, K Aasly Minerals Engineering 149, 106178, 2020 | 10 | 2020 |
| Mineralogy and texture of the Storforshei iron formation, and their effect on grindability MK Tøgersen, RA Kleiv, S Ellefmo, K Aasly Minerals Engineering 125, 176-189, 2018 | 10 | 2018 |