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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.

Fraud Prediction and Prevention in Mobile Money Payment Systems (MMPS): A Systematic Literature Review of Text‐Based Detection Methods

2025Security and Communication NetworksJournalOpen access

10.1155/sec/8913715 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

Umar SayibuFirst authorCorresponding
- Tamale Teaching Hospital (GH)
- Kwame Nkrumah University of Science and Technology (GH)
Michael Asante
- Kwame Nkrumah University of Science and Technology (GH)
Gaddafi Abdul-Salam
- Kwame Nkrumah University of Science and Technology (GH)
Frimpong TwumSenior author
- Kwame Nkrumah University of Science and Technology (GH)
as printed: Twum Frimpong

Fields

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

Spam and Phishing Detectionlevel 3 · 0.37
ICT in Developing Communitieslevel 3 · 0.18
Imbalanced Data Classification Techniqueslevel 3 · 0.12

Sources

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

openalexseen September 5, 2026
2025 · Security and Communication Networks · 0 citations
https://openalex.org/W4416794825

Fraud Prediction and Prevention in Mobile Money Payment Systems (MMPS): A Systematic Literature Review of Text‐Based Detection Methods · Sankore