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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.

An Intelligent Model for Predicting Fintech Operational Health and Sustainability in Africa Using Machine Learning and Big Data Mining

2024International Journal of Research Publication and ReviewsJournalOpen access

10.55248/gengpi.5.0824.2111 Full text1 citations

Authors

19 authors across 3 institutions in 3 countries.

Grace Olaronke ShobayoFirst author
- University of Jos (NG)
Patrick Njock Egbe
- Université de Yaoundé I (CM)
Chibuzo Chibuzo
Anthony Anthony
Fouodji Ngnoukaho Channelle
Egbe Toochi Paul
Jerome Christopher Atisu
- Kwame Nkrumah University of Science and Technology (GH)
Rudolf Seth Afeku
Onalaja Onalaja
Samiat A
Joshua Tangu Daniel Victor Andikan

Fields

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

FinTech, Crowdfunding, Digital Financelevel 3 · 0.92

Sources

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

openalexseen September 24, 2026
2024 · International Journal of Research Publication and Reviews · 1 citations
https://openalex.org/W4401957209

Kofi Nyame Jnr

Ojukwu Sylvia O

Edidiong Hassan Osazuwa Joy

Babatunde Oluwatunmise Michael

John ObasiSenior author

University of Benin (NG)

An Intelligent Model for Predicting Fintech Operational Health and Sustainability in Africa Using Machine Learning and Big Data Mining · Sankore