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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.

Artificial Intelligence and Machine Learning in Financial Technology: Opportunities, Risks, and Regulatory Challenges

2026British journal of interdisciplinary research.JournalOpen access

10.31039/bjir.v3i13.151 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

O. S. AladejubeloFirst author
- West Africa Vocational Education (NG)
ISHOLA, S. A
- West Africa Vocational Education (NG)
as printed: S. A. Ishola
R. O. Raji
- Crescent University (NG)
S.O. BamisayeSenior author
- West Africa Vocational Education (NG)
as printed: S. O. Bamisaye

Fields

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

FinTech, Crowdfunding, Digital Financelevel 3 · 0.25
Knowledge Management and Technologylevel 3 · 0.04
Internet of Things and AIlevel 3 · 0.04

Sources

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

openalexseen September 9, 2026
2026 · British journal of interdisciplinary research. · 0 citations
https://openalex.org/W7172503786

Artificial Intelligence and Machine Learning in Financial Technology: Opportunities, Risks, and Regulatory Challenges · Sankore