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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.

AI-Driven Identity Theft and Fraud Detection in FinTech Systems: A Systematic Literature Review (2016–2025)

2026Journal

10.1109/icaiii69475.2026.11521763 Full text0 citations

Authors

6 authors across 6 institutions in 1 country.

Sambo, Muhammad QFirst author
- African Field Epidemiology Network (NG)
as printed: Muhammad Qaim Aliyu Sambo
Shafi’I M Abdulhamid
- Federal University of Technology Minna (NG)
as printed: Shafii AbdulHamid
Ahmed Aliyu
- Sa'adu Zungur University (NG)
Augustine Yusuf
- National Open University of Nigeria (NG)
Ifeanyi Nwokoro
- Rhema University (NG)
Abdulrahman Umar SadiqSenior author
- Abubakar Tafawa Balewa University (NG)

Fields

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

FinTech, Crowdfunding, Digital Financelevel 3 · 0.41
Spam and Phishing Detectionlevel 3 · 0.06
Cybercrime and Law Enforcement Studieslevel 3 · 0.05

Sources

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

openalexseen September 9, 2026
2026 · 0 citations
https://openalex.org/W7162130355

AI-Driven Identity Theft and Fraud Detection in FinTech Systems: A Systematic Literature Review (2016–2025) · Sankore