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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.

Enhancing Credit Risk Assessment in Nigerian Banking Using Machine Learning Ensemble Models

2026International Journal of Scientific Research and Modern Technology.JournalOpen access

10.38124/ijsrmt.v5i2.1245 Full text0 citations

Authors

5 authors.

Aileru Habeeb AbolajiFirst author
- Kwara State Polytechnic (NG)
Abayomi Mariam Okikiola
- Kwara State Polytechnic (NG)
Sodiq Aminat Idowu
- Kwara State Polytechnic (NG)
Olawale Rasaq Olamilekan
- Kwara State Polytechnic (NG)
Abdulmalik BadamasiSenior author
- Kwara State Polytechnic (NG)

Fields

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

Financial Distress and Bankruptcy Predictionlevel 3 · 0.97
Banking stability, regulation, efficiencylevel 3 · 0.00
Credit Risk and Financial Regulationslevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2026 · International Journal of Scientific Research and Modern Technology. · 0 citations
https://openalex.org/W7136153552

Enhancing Credit Risk Assessment in Nigerian Banking Using Machine Learning Ensemble Models · Sankore