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.

Prediction of Sanding Potential in Unconsolidated Sandstones Using Selected Machine-Learning Techniques

2025SPE Nigeria Annual International Conference and ExhibitionPublication

10.2118/228688-ms Full text0 citations

Authors

2 authors.

Chiamaka R. NwaruezeFirst author
- University of Ibadan (NG)
S. O. IsehunwaSenior author
- University of Ibadan (NG)
as printed: Sunday O. Isehunwa

Fields

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

Drilling and Well Engineeringlevel 3 · 1.00
Hydraulic Fracturing and Reservoir Analysislevel 3 · 0.99
Mineral Processing and Grindinglevel 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
2025 · SPE Nigeria Annual International Conference and Exhibition · 0 citations
https://openalex.org/W4413134979

Prediction of Sanding Potential in Unconsolidated Sandstones Using Selected Machine-Learning Techniques · Sankore