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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.

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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.

Investigating the Frontiers of Deep Learning and Machine Learning: A Comprehensive Overview of Key Challenges in Missing Well Log Estimation

2024International Research Journal of Innovations in Engineering and TechnologyJournalOpen access

10.47001/irjiet/2024.807001 Full text1 citations

Authors

5 authors across 2 institutions in 1 country.

Nwankwo, C.GFirst author
- Chukwuemeka Odumegwu Ojukwu University (NG)
Samuel M. Alade
as printed: Alade, S.M
Agbakwuru, O.A
- Imo State University (NG)
Amanze, B.C
Godspower AkawukuSenior author
as printed: Akawuku, G.I

Fields

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

Reservoir Engineering and Simulation Methodslevel 3 · 0.97
Drilling and Well Engineeringlevel 3 · 0.97
Hydraulic Fracturing and Reservoir Analysislevel 3 · 0.96

Sources

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

openalexseen September 9, 2026
2024 · International Research Journal of Innovations in Engineering and Technology · 1 citations
https://openalex.org/W4401522292

Investigating the Frontiers of Deep Learning and Machine Learning: A Comprehensive Overview of Key Challenges in Missing Well Log Estimation · Sankore