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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.

Flood risk prediction and modeling in Bauchi: Leveraging machine learning models and explainable AI for urban resilience

2025The Journal of Climate Change and HealthJournalOpen access

10.1016/j.joclim.2025.100490 Full text4 citations

Authors

4 authors across 2 institutions in 2 countries.

Kamil Muhammad KafiFirst authorCorresponding
- Bayero University Kano (NG)
Zakiah Ponrahono
Zulfa Hanan Ashaari
as printed: Zulfa Hanan Ash’aari
Aliyu BarauSenior author
- Bayero University Kano (NG)
as printed: Aliyu Salisu Barau

Fields

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

Flood Risk Assessment and Managementlevel 3 · 0.93
Hydrological Forecasting Using AIlevel 3 · 0.01
Disaster Management and Resiliencelevel 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
2025 · The Journal of Climate Change and Health · 4 citations
https://openalex.org/W4414995936

Flood risk prediction and modeling in Bauchi: Leveraging machine learning models and explainable AI for urban resilience · Sankore