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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.

Prediction and parametric modeling of compressive strength of waste marble dust concrete through machine learning and experimental analysis

2025Scientific ReportsJournalOpen access

10.1038/s41598-025-26978-y Full text4 citations

Authors

8 authors across 5 institutions in 4 countries.

Abdullah AlzlfawiFirst author
Md. Habibur Rahman SobuzCorresponding
Md. Kawsarul
Islam Kabbo
Mita Khatun
Sani Aliyu AbubakarCorresponding
- Kampala International University (UG)
Mohammed Jameel
as printed: M. Jameel
Md Jihad MiahSenior author

Fields

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

Concrete and Cement Materials Researchlevel 3 · 0.48
Innovative concrete reinforcement materialslevel 3 · 0.24
Recycled Aggregate Concrete Performancelevel 3 · 0.12

Sources

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

openalexseen September 8, 2026
2025 · Scientific Reports · 4 citations
https://openalex.org/W4416908014

Prediction and parametric modeling of compressive strength of waste marble dust concrete through machine learning and experimental analysis · Sankore