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Solio Marino Arango-Retamozo

Observed names: Arango, Solio, Solio Marino Arango-Retamozo, Solio Arango, Solio Arango-Retamozo, Solio M Arango Retamozo, Solio M. Arango-Retamozo, Solio Marino Arango Retamozo
Observed institution: National University of Trujillo
ORCID: 0000-0003-3594-0329
Observed ORCID: 0000-0003-3594-0329
OpenAlex ID: A5057402322
Bibliometric and systematic analysis of the literature on the Hartwick rule in non-renewable resources
2025 · Marco A. Cotrina-Teatino, Jairo J. Marquina-Araujo, et al. · Resources Policy · 14
Predictive Model Using Machine Learning to Determine Fuel Consumption in CAT-777F Mining Equipment
2024 · Eduardo Manuel Noriega Vidal, Joe Alexis Gonzalez Vasquez, et al. · International Journal of Mining and Mineral Engineering · 12
Geochemical and mineralogical characterization of critical elements in gold tailings from the La Cienega, Peru, and assessment of their reuse potential
2025 · Marco A. Cotrina-Teatino, Jairo J. Marquina-Araujo, et al. · Journal of environmental chemical engineering · 11
Estimating the Economic Impact of Mining Accidents: A Case Study from Peru
2023 · Solio Marino Arango-Retamozo, Marco Antonio Cotrina-Teatino, et al. · International Journal of Safety and Security Engineering · 8
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Effective Critical Risk Management in Welding Operations for Mining: A Case Study on Incident Reduction
2024 · Meylin Carely Gamboa-Sánchez, Marco Antonio Cotrina-Teatino, et al. · International Journal of Safety and Security Engineering · 6
Bibliometric and Systematic Literature Analysis on Hydrometallurgy for the Recovery of Gold, Silver, and Platinum Group Metals
2025 · Marco Cotrina-Teatino, Jairo Marquina-Araujo, et al. · JOM · 5
Recovery of strategic elements from mining tailings at La Cienega, Peru, through geochemical and mineralogical assessment: a focus on circular economy policy
2025 · Marco A. Cotrina-Teatino, Jairo J. Marquina-Araujo, et al. · Resources Policy · 5
Strategic potential assessment of lanthanum and scandium through geochemical-lithological analysis with unsupervised machine learning in southern Ecuador
2025 · Marco A. Cotrina-Teatino, Jairo J. Marquina-Araujo, et al. · Resources Policy · 5
Multi-criteria analysis of competitiveness and attractiveness factors in leading copper mining companies in Peru
2025 · Marco A. Cotrina-Teatino, Jairo J. Marquina-Araujo, et al. · The Extractive Industries and Society · 4
An Intelligent Approach to Predicting Dilution, Overbreak and Costs in Underground Mining Using Kolmogorov-Arnold Networks
2025 · Jhon Kener Vera-Encarnación, Marco Antonio Cotrina-Teatino, et al. · Mathematical Modelling and Engineering Problems · 4
KMeans-Riemannian model for classification mineral resources in a copper deposit in Peru
2025 · Marco Antonio Cotrina-Teatino, Alvaro I. Riquelme, et al. · International Journal of Mining Reclamation and Environment · 3
Hybrid Machine Learning Techniques to Predict Fuel Consumption of Dump Trucks in an Open-Pit Mine in Peru
2024 · Eduardo Manuel Noriega Vidal, Eusebio Antonio Araujo, et al. · International Journal of Mining and Mineral Engineering · 3
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Mineral resource estimation using spatial copulas and machine learning optimized with metaheuristics in a copper deposit
2025 · Marco A. Cotrina-Teatino, Jairo J. Marquina Araujo, et al. · Earth Science Informatics · 2
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Optimise a ventilation system in underground mines using artificial neural networks
2025 · Marco Cotrina, José Mamani, et al. · International Journal of Mining and Mineral Engineering · 2
Machine Learning Techniques for Predicting the Quantity of ANFO Used in Blasting a Bench in an Open Pit Mine
2024 · Marco Antonio Cotrina-Teatino, Jairo Jhonatan Marquina-Araujo, et al. · Mathematical Modelling and Engineering Problems · 2
Copper Monthly Price Forecast with Time Series Models
2022 · Marco Antonio Cotrina-Teatino, Jairo Jhonatan Marquina Araujo, et al. · LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development (LEIRD) · 2
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Lithium extraction worldwide: A bibliometric analysis and systematic literature review
2026 · Marco A Cotrina-Teatino, Jairo J Marquina Araujo, et al. · Mineral Processing and Extractive Metallurgy Transactions of the Institutions of Mining and Metallurgy · 1
Application of machine learning methods in the metallurgical industry: A bibliometric analysis and systematic literature review
2025 · Marco A Cotrina-Teatino, Jairo J Marquina Araujo, et al. · Mineral Processing and Extractive Metallurgy Transactions of the Institutions of Mining and Metallurgy · 1
Reduction of incidents through the implementation of daily safety talk program based on RSAC in an underground gold mine in Peru
2025 · Marco Antonio Cotrina-Teatino, Key Flores-Castro, et al. · Research Square · 1
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Metal Streaming as an economic financing mechanism in Peruvian mining
2022 · Marco Antonio Cotrina-Teatino, Abel Nehemias Santos Gonzales, et al. · LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development (LEIRD) · 1
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Impact of the occupational safety and health management system (OSHMS) on the reduction of occupational risks in high-risk construction activities
2026 · Julisa N. Chavez-Julca, Solio M. Arango-Retamozo, et al. · Research Square
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Machine learning techniques for optimizing the efficiency and costs of drill steel in sandstone and granodiorite: a case study in Peru
2025 · Marco Cotrina, Jairo Marquina, et al. · Journal of Sustainable Mining
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Combined influence of percussion and rotation pressures on the performance of drilling steels in granodiorite and sandstone rocks in an underground mine, Peru
2025 · Marco Antonio Cotrina Teatino, Jairo Jhonatan Marquina Araujo, et al. · World Journal of Engineering
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Metal Streaming as a Financial Model for the Mining Industry in Peru
2025 · Marco Antonio Cotrina Teatino, Jairo Jhonatan Marquina Araujo, et al. · SSRN Electronic Journal
Data-Driven Machine Learning Techniques for Metal Resource Estimation in a Tailings Deposit in Peru
2025 · Marco Antonio Cotrina Teatino, Jairo Jhonatan Marquina Araujo, et al. · SSRN Electronic Journal
Works count: 33
Citation count: 92
H-index: 5
I10-index: 3
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