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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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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.

EMERGING TECHNOLOGIES IN MINERAL EXPLORATION: A REVIEW OF ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, AND REMOTE SENSING APPLICATIONS IN AFRICA'S MINING SECTOR

2026Zenodo (CERN European Organization for Nuclear Research)JournalOpen access

10.5281/zenodo.18470574 Full text0 citations

Authors

3 authors across 3 institutions in 2 countries.

Adeyinka OlasehindeFirst author
- Gombe State University (NG)
as printed: Olasehinde, Adeyinka
Ashano, Edafetano C.
- University of Jos (NG)
Tabwassah, Caleb A.Senior author

Fields

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

Mining and Resource Managementlevel 3 · 0.52
Geochemistry and Geologic Mappinglevel 3 · 0.22
Mining Techniques and Economicslevel 3 · 0.05

Sources

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

openalexseen September 9, 2026
2026 · Zenodo (CERN European Organization for Nuclear Research) · 0 citations
https://openalex.org/W7127271240

EMERGING TECHNOLOGIES IN MINERAL EXPLORATION: A REVIEW OF ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, AND REMOTE SENSING APPLICATIONS IN AFRICA'S MINING SECTOR · Sankore