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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.

Urban flash flood hazard mapping using machine learning, Bahir Dar, Ethiopia

2024Journal of HydroinformaticsJournalOpen access

10.2166/hydro.2024.277 Full text12 citations

Authors

5 authors across 2 institutions in 2 countries.

Elias S. LeggesseFirst authorCorresponding
- Bahir Dar University (ET)
as printed: Elias Sime Leggesse
Walelign Ayaliew Derseh
- Bahir Dar University (ET)
Fasikaw A. Zimale
- Bahir Dar University (ET)
as printed: Fasikaw Atanaw Zimale
Seifu A. Tilahun
- Bahir Dar University (ET)
- Water Resources Commission of Ghana (GH)
as printed: Seifu Admasu Tilahun
Mengiste Abate MesheshaSenior author
- Bahir Dar University (ET)

Fields

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

Flood Risk Assessment and Managementlevel 3 · 1.00
Tropical and Extratropical Cyclones Researchlevel 3 · 0.98
Landslides and related hazardslevel 3 · 0.96

Sources

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

openalexseen September 10, 2026
2024 · Journal of Hydroinformatics · 12 citations
https://openalex.org/W4401947210

Urban flash flood hazard mapping using machine learning, Bahir Dar, Ethiopia · Sankore