International Journal of Mining Reclamation and Environment

Papers
(The H4-Index of International Journal of Mining Reclamation and Environment is 14. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Net present value comparison of different mathematical programming models for multi-element open pit mines43
Comparing the accuracy of two approaches to account for internal dilution: A case study from a porphyry copper deposit42
Exploring the capabilities of portable device photogrammetry for 3D surface roughness evaluation35
Experimental study on mechanical aging properties of self‑swelling anchorage bolt under chemical corrosion23
Mechanical behaviour and instability mechanism of sandstones with impact tendency under different loading paths23
Experimental investigations on sustainable mortar containing mining tailing as partial replacement of fine aggregate23
Synthesis of layered cemented tailings backfill by utilising plant fibres and gold tailings: bending strength, microstructure, and crack extension form19
Investigation of optimal surface paste disposal design based on crack intensity18
Mechanical strength and hydration exothermic behavior of cemented paste backfill with early-strength agent under low temperature17
Geomorphic approaches to reclamation of abandoned coal mine slurry impoundment closure17
Machine learning approaches for overbreak and underbreak prediction in underground mining: a literature review17
Preliminary assessment of potential pollution risks in soils: case study of the Córrego do Feijão Mine dam failure (Brumadinho, Minas Gerais, Brazil)15
Optimising bench-level energy distribution based on drilling error measurements in the mining industry15
Thermal signatures of relict coal spoil, waste and tailing dumps14
Optimising the mine production scheduling accounting for stockpiling and investment decisions under geological uncertainty14
Machine learning algorithms for real-time coal recognition using monitor-while-drilling data14
Strategic adaptations of infrastructure/facilities in an operating mining complex under geological uncertainty14
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