Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

Performance measurement of experimentally validated machine learning algorithms to predict compressive strength of sustainable concrete using GGBFS and rice husk ash

2026Scientific ReportsJournalOpen access

10.1038/s41598-026-58554-3 Full text0 citations

Authors

6 authors across 5 institutions in 4 countries.

Abdullah AlzlfawiFirst author
Md. Habibur Rahman SobuzCorresponding
Md. Kawsarul Islam Kabbo
Mohammed Jameel
Ratan Lal
Sani Aliyu AbubakarSenior authorCorresponding
- Kampala International University (UG)

Fields

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

Innovative concrete reinforcement materialslevel 3 · 0.61
Concrete and Cement Materials Researchlevel 3 · 0.30
Fire effects on concrete materialslevel 3 · 0.01

Sources

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

openalexseen September 8, 2026
2026 · Scientific Reports · 0 citations
https://openalex.org/W7166581001

Performance measurement of experimentally validated machine learning algorithms to predict compressive strength of sustainable concrete using GGBFS and rice husk ash · Sankore