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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.

Predicting the impact of adding metakaolin on the flexural strength of concrete using ML classification techniques – a comparative study

2024Frontiers in Built EnvironmentJournalOpen access

10.3389/fbuil.2024.1434159 Full text4 citations

Authors

8 authors across 8 institutions in 6 countries.

Luis VelasteguiFirst author
Nancy Velasco
Hugo Rolando Sanchez Quispe
Fredy Barahona
Kennedy C. OnyeloweCorresponding
- Kampala International University (UG)
- Niger Delta University (NG)
- Michael Okpara University of Agriculture (NG)
Shadi Hanandeh
Ahmed M. EbidCorresponding
- Future University in Egypt (EG)
TrustGod A. JohnSenior author
- Niger Delta University (NG)

Fields

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

Innovative concrete reinforcement materialslevel 3 · 1.00
Concrete and Cement Materials Researchlevel 3 · 1.00
Recycled Aggregate Concrete Performancelevel 3 · 0.99

Sources

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

openalexseen September 10, 2026
2024 · Frontiers in Built Environment · 4 citations
https://openalex.org/W4404155396

Predicting the impact of adding metakaolin on the flexural strength of concrete using ML classification techniques – a comparative study · Sankore