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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.

Detecting insider threats in banking using AI-driven anomaly detection with a data science approach to cybersecurity

2024World Journal of Advanced Research and ReviewsJournalOpen access

10.30574/wjarr.2024.24.2.3182 Full text9 citations

Authors

6 authors across 5 institutions in 3 countries.

Akintayo Micheal AjayiFirst author
Abraham Okandeji Omokanye
Olawale Olowu
- Lagos State Health Service Commission (NG)
Ademilola Olowofela Adeleye
- Lagos State Health Service Commission (NG)
Olayinka Mary OmoleCorresponding
Ifeoluwa Uchechukwu WadaSenior author

Fields

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

Technology Adoption and User Behaviourlevel 3 · 0.30
Digitalization and Economic Development in Agriculturelevel 3 · 0.29
Impact of AI and Big Data on Business and Societylevel 3 · 0.29

Sources

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

openalexseen September 9, 2026
2024 · World Journal of Advanced Research and Reviews · 9 citations
https://openalex.org/W4404060594

Detecting insider threats in banking using AI-driven anomaly detection with a data science approach to cybersecurity · Sankore