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.

Soft computing techniques for predicting the properties of raw rice husk concrete bricks using regression-based machine learning approaches

2023Scientific ReportsJournalOpen access

10.1038/s41598-023-41848-1 Full text31 citations

Authors

5 authors across 5 institutions in 3 countries.

Nakkeeran GanasenFirst author
L. Krishnaraj
Kennedy C. Onyelowe
- Michael Okpara University of Agriculture (NG)
George Uwadiegwu AlanemeCorresponding
- Kampala International University (UG)
- Michael Okpara University of Agriculture (NG)
Obeten Nicholas OtuSenior author
- University of Uyo (NG)
- University of Cross River State (NG)

Fields

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

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

Sources

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

openalexseen September 9, 2026
2023 · Scientific Reports · 31 citations
https://openalex.org/W4386422024

Soft computing techniques for predicting the properties of raw rice husk concrete bricks using regression-based machine learning approaches · Sankore