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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Mahmud M. Jibril · Sankore

Kano State University of Technology

Mahmud M. Jibril

ORCID, self-asserted

ORCID 0000-0003-1693-9242

This profile carries an ORCID the researcher published on their own record — the strongest evidence available short of a human confirming it. 1 other profile was folded into this one.

Publications

19

Citations

300

h-index

10

Computed over the works the graph holds, so it is a floor rather than a career figure.

i10-index

10

Works published 2022 onward have been swept for this country. Figures are complete within that window, to the extent the open indexes are.

Affiliations

Every institution this scholar has appeared with on a work, by how many.

Kano State University of Technology22 works
Bayero University Kano2 works
The Federal Polytechnic, Ado-Ekiti1 works

Publications

19 works in the graph, newest first.

Holistic model validation and interpretation with SHAP for machine learning models: predicting compressive strength of fly ash geopolymer concrete using optimization algorithms and ensemble model
2026Innovative Infrastructure SolutionsJournalFirst authorCorresponding2 citations10.1007/s41062-026-02595-0
Exploring Variable Influences on the Compressive Strength of Alkali-Activated Concrete Using Ensemble Tree, Deep Learning Methods and SHAP-Based Interpretation
2026Eng—Advances in EngineeringJournalOpen accessCorresponding1 citations10.3390/eng7050192
Optimization of CO2 absorption rate for environmental applications and effective carbon capture
2025Journal of Cleaner ProductionJournal22 citations10.1016/j.jclepro.2025.144707
Design of real-time hybrid nanofiltration/reverse osmosis seawater desalination plant performance based on deep learning application
2025DesalinationJournal17 citations10.1016/j.desal.2025.118918

Multi-model environmental modelling of energy-exergy efficiency using GUI-based aided design tools integrated with dependency feature analysis

2025Hybrid AdvancesJournalOpen access2 citations10.1016/j.hybadv.2025.100493

Ensemble Machine Learning Technique Based on Gaussian Algorithm for Stream Flow Modelling

2025Techno-computing JournalJournalOpen access1 citations10.71170/tecoj.2025.1.2.pp1-17

Nitrate concentrations tracking from multi-aquifer groundwater vulnerability zones: Insight from machine learning and spatial mapping

2024Process Safety and Environmental ProtectionJournal34 citations10.1016/j.psep.2024.02.041

Evidential Neural Network Model for Groundwater Salinization Simulation: A First Application in Hydro-Environmental Engineering

2024WaterJournalOpen access14 citations10.3390/w16202873

An improved prediction of high-performance concrete compressive strength using ensemble models and neural networks

2024AI in Civil EngineeringJournalOpen accessCorresponding9 citations10.1007/s43503-024-00040-8

A new strategy using intelligent hybrid learning for prediction of water binder ratio of concrete with rice husk ash as a supplementary cementitious material

2024Journal of Building Pathology and RehabilitationJournalCorresponding7 citations10.1007/s41024-024-00541-0

Redefining structural soundness in concrete constructions: A groundbreaking technique for water–cement ratio assessment in sustainable building integrated with explainable artificial intelligence

2024AIP AdvancesJournalOpen accessFirst author4 citations10.1063/5.0203867

Enhancing Energy Demand Prediction Using Elman Neural Network and Support Vector Machine Model: A Case Study in Lagos State, Nigeria

2024Artificial Intelligence EvolutionJournalOpen accessSenior author1 citations10.37256/aie.5220244396

Soft-Computing Analysis and Prediction of the Mechanical Properties of High-Volume Fly-Ash Concrete Containing Plastic Waste and Graphene Nanoplatelets

2024InfrastructuresJournalOpen accessSenior author2 citations10.3390/infrastructures9120214

New-generation machine learning models as prediction tools for modeling interfacial tension of hydrogen-brine system

2023International Journal of Hydrogen EnergyJournalOpen access60 citations10.1016/j.ijhydene.2023.09.170

A Novel Hybrid Optimization Approach for Fault Detection in Photovoltaic Arrays and Inverters Using AI and Statistical Learning Techniques: A Focus on Sustainable Environment

2023ProcessesJournalOpen access34 citations10.3390/pr11092549

Implementation of nonlinear computing models and classical regression for predicting compressive strength of high-performance concrete

2023Applications in Engineering ScienceJournalOpen accessFirst authorCorresponding20 citations10.1016/j.apples.2023.100133

Hybrid predictive based control of precipitation in a water-scarce region: A focus on the application of intelligent learning for green irrigation in agriculture sector

2023Journal of the Saudi Society of Agricultural SciencesJournalOpen access19 citations10.1016/j.jssas.2023.06.001

New random intelligent chemometric techniques for sustainable geopolymer concrete: low-energy and carbon-footprint initiatives

2023Asian Journal of Civil EngineeringJournalFirst authorCorresponding16 citations10.1007/s42107-023-00908-7

An overview of streamflow prediction using random forest algorithm

2022GSC Advanced Research and ReviewsJournalOpen accessFirst authorCorresponding35 citations10.30574/gscarr.2022.13.1.0112