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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.

Combating Money Laundering using Artificial Intelligence

2025Advances in Artificial Intelligence ResearchJournalOpen access

10.54569/aair.1829876 Full text0 citations

Authors

7 authors across 5 institutions in 2 countries.

Ufuoma Cyril OgudeFirst author
- University of Lagos (NG)
as printed: Ufuoma Ogude
Blessing Oloko
- University of Lagos (NG)
Ayomitope O Isijola
- University of Lagos (NG)
as printed: Ayomitope Isijola
Michael Asefon
- National Open University of Nigeria (NG)
Chizoma Chikere
- Federal Polytechnic Nekede (NG)
Azizat Adekoya
Samuel OkorieSenior author
- Federal University of Technology Owerri (NG)

Fields

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

Crime, Illicit Activities, and Governancelevel 3 · 0.82
Cybercrime and Law Enforcement Studieslevel 3 · 0.03
Imbalanced Data Classification Techniqueslevel 3 · 0.02

Sources

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

openalexseen September 9, 2026
2025 · Advances in Artificial Intelligence Research · 0 citations
https://openalex.org/W7116890089

Combating Money Laundering using Artificial Intelligence · Sankore