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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.

Artificial neural network-based prediction of compressive strength in sustainable one-part GGBS/POFA-based geopolymer mortar with synthesized sodium silicates

2025Journal of Sustainable Cement-Based MaterialsJournal

10.1080/21650373.2025.2597879 Full text4 citations

Authors

6 authors across 5 institutions in 4 countries.

A.M SalmanFirst author
- Kwara State University (NG)
as printed: A.M. Salman
U. Johnson AlengaramCorresponding
Wan Zurina Wan Jaafar
Meldi Suhatril
S.I. Marafa
Walid DebouchaSenior author

Fields

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

Concrete and Cement Materials Researchlevel 3 · 0.93
Innovative concrete reinforcement materialslevel 3 · 0.02
Magnesium Oxide Properties and Applicationslevel 3 · 0.02

Sources

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

openalexseen September 9, 2026
2025 · Journal of Sustainable Cement-Based Materials · 4 citations
https://openalex.org/W4417166035

Artificial neural network-based prediction of compressive strength in sustainable one-part GGBS/POFA-based geopolymer mortar with synthesized sodium silicates · Sankore