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.

Optimized machine learning models for predictive performance assessment of fly ash-integrated clay bricks

2026Scientific ReportsJournalOpen access

10.1038/s41598-026-63535-7 Full text0 citations

Authors

3 authors across 4 institutions in 4 countries.

Paul O. AwoyeraFirst authorCorresponding
Olaolu George FadugbaCorresponding
- Kabale University (UG)
- Federal University of Technology (NG)
Milica V. VasićSenior author

Fields

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

Recycling and utilization of industrial and municipal waste in materials productionlevel 3 · 0.60
Concrete and Cement Materials Researchlevel 3 · 0.32
Hygrothermal properties of building materialslevel 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
2026 · Scientific Reports · 0 citations
https://openalex.org/W7172302150

Optimized machine learning models for predictive performance assessment of fly ash-integrated clay bricks · Sankore