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.

A deep learning approach to concrete water-cement ratio prediction

2022Results in MaterialsJournalOpen access

10.1016/j.rinma.2022.100300 Full text23 citations

Authors

10 authors across 4 institutions in 2 countries.

Sururah A. BelloFirst authorCorresponding
as printed: Sururah Apinke Bello
Lukumon O. Oyedele
as printed: Lukumon Oyedele
Olakunle Kazeem Olaitan
- Obafemi Awolowo University (NG)
Kolawole Olonade
- University of Lagos (NG)
as printed: Kolawole Adisa Olonade
Akinropo Musiliu Olajumoke
- Obafemi Awolowo University (NG)
Anuoluwapo O. Ajayi
as printed: Anuoluwapo Ajayi
Lukman Akanbi
Olugbenga Akinade
Mistura Laide Sanni
- Obafemi Awolowo University (NG)
Abdul-Lateef BelloSenior author

Fields

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

Infrastructure Maintenance and Monitoringlevel 3 · 1.00
Innovative concrete reinforcement materialslevel 3 · 0.99
Concrete and Cement Materials Researchlevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2022 · Results in Materials · 23 citations
https://openalex.org/W4284885672

A deep learning approach to concrete water-cement ratio prediction · Sankore