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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.

Integrating digital forensics and machine learning for fraud detection in Nigerian deposit money banks: a PLS-SEM and artificial neural network approach

2026FUDMA Journal of Accounting and Finance Research [FUJAFR]JournalOpen access

10.33003/fujafr-2026.v4i1.286.53-69 Full text1 citations

Authors

3 authors across 2 institutions in 1 country.

Ridwan Adebisi SanusiFirst author
- Nasarawa State University (NG)
Ibraheem Sanusi
- University of Ibadan (NG)
D. O. B. BriggsSenior author
- Nasarawa State University (NG)

Fields

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

Digital and Cyber Forensicslevel 3 · 0.11
Imbalanced Data Classification Techniqueslevel 3 · 0.08
Benford’s Law and Fraud Detectionlevel 3 · 0.08

Sources

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

openalexseen September 9, 2026
2026 · FUDMA Journal of Accounting and Finance Research [FUJAFR] · 1 citations
https://openalex.org/W7133520591

Integrating digital forensics and machine learning for fraud detection in Nigerian deposit money banks: a PLS-SEM and artificial neural network approach · Sankore