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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.

Predicting Economic Resilience in Nigeria Using Machine Learning: A Framework for Policy Intervention

2025MIST INTERNATIONAL JOURNAL OF SCIENCE AND TECHNOLOGYJournalOpen access

10.47981/j.mijst.13(01)2025.519(29-36)Full text1 citations

Authors

3 authors across 2 institutions in 1 country.

Ayanfe OmololuFirst author
- Osun State University (NG)
as printed: Akinrotimi Akinyemi Omololu
Oyekunle Rafiat Ajibade
- University of Ilorin (NG)
Mabayoje Modinat AboloreSenior author
- University of Ilorin (NG)

Fields

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

COVID-19 Pandemic Impactslevel 3 · 0.83

Sources

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

openalexseen September 9, 2026
2025 · MIST INTERNATIONAL JOURNAL OF SCIENCE AND TECHNOLOGY · 1 citations
https://openalex.org/W4411831072

Predicting Economic Resilience in Nigeria Using Machine Learning: A Framework for Policy Intervention · Sankore