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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.

Enhancing CO 2 emissions prediction in Africa: A novel approach integrating enviroeconomic factors and nature-inspired neural network in the presence of unit root

2024Renewable EnergyJournal

10.1016/j.renene.2024.121561 Full text11 citations

Authors

6 authors across 7 institutions in 5 countries.

Sagiru MatiFirst authorCorresponding
- Maitama Sule University Kano (NG)
Abubakar Jamilu Baita
- Maitama Sule University Kano (NG)
Goran Yousif Ismael
Salisu Garba Abdullahi
- Sa'adatu Rimi College of Education (NG)
Ahmed Samour
Dilber Uzun OzsahinSenior author

Fields

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

Energy, Environment, Economic Growthlevel 3 · 1.00
Energy, Environment, and Transportation Policieslevel 3 · 1.00
Market Dynamics and Volatilitylevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2024 · Renewable Energy · 11 citations
https://openalex.org/W4403426063

Enhancing CO 2 emissions prediction in Africa: A novel approach integrating enviroeconomic factors and nature-inspired neural network in the presence of unit root · Sankore