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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.

Predictive Modeling of Energy Poverty with Machine Learning Ensembles: Strategic Insights from Socioeconomic Determinants for Effective Policy Implementation

2024International Journal of Energy ResearchJournalOpen access

10.1155/2024/9411326 Full text33 citations

Authors

3 authors across 3 institutions in 3 countries.

Sidique GawusuFirst authorCorresponding
Seidu Abdulai Jamatutu
Abubakari AhmedSenior author
- University for Development Studies (GH)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Energy and Environment Impactslevel 3 · 1.00
Energy, Environment, Economic Growthlevel 3 · 1.00
Energy, Environment, and Transportation Policieslevel 3 · 1.00

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 5, 2026
2024 · International Journal of Energy Research · 33 citations
https://openalex.org/W4399547269

Predictive Modeling of Energy Poverty with Machine Learning Ensembles: Strategic Insights from Socioeconomic Determinants for Effective Policy Implementation · Sankore