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 Comparison of Two Machine Learning Techniques for the Prediction of Initial Oil in Place in the Niger Delta Region

2023European Journal of Computer Science and Information TechnologyJournalOpen access

10.37745/ejcsit.2013/vol11n53049 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

Ekemini JohnsonFirst author
- Usmanu Danfodiyo University (NG)
- University of Uyo (NG)
Okure Obot
- University of Uyo (NG)
Udoinyang Inyang
- University of Uyo (NG)
Julius U. AkpabioSenior author
as printed: Julius Akpabio

Fields

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

Reservoir Engineering and Simulation Methodslevel 3 · 0.99
Oil and Gas Production Techniqueslevel 3 · 0.97
Petroleum Processing and Analysislevel 3 · 0.93

Sources

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

openalexseen September 9, 2026
2023 · European Journal of Computer Science and Information Technology · 0 citations
https://openalex.org/W4388811640

A Comparison of Two Machine Learning Techniques for the Prediction of Initial Oil in Place in the Niger Delta Region · Sankore