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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.

Combining Forecasted Seasonal Climatic Factors and Static Geospatial Features for Flood Susceptibility Assessment Using Deep Hybrid Networks

2026Mathematical GeosciencesJournal

10.1007/s11004-026-10326-5 Full text0 citations

Authors

6 authors across 6 institutions in 5 countries.

Vincent E. NwazelibeFirst author
Daniel A. Ayejoto
Johnson C. Agbasi
- Chukwuemeka Odumegwu Ojukwu University (NG)
Emmanuel C. Okpala
Krishna Prakash Arunachalam
Johnbosco C. EgbueriSenior authorCorresponding
- Chukwuemeka Odumegwu Ojukwu University (NG)

Fields

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

Flood Risk Assessment and Managementlevel 3 · 0.95
Hydrological Forecasting Using AIlevel 3 · 0.01
Urban Stormwater Management Solutionslevel 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 · Mathematical Geosciences · 0 citations
https://openalex.org/W7202126031

Combining Forecasted Seasonal Climatic Factors and Static Geospatial Features for Flood Susceptibility Assessment Using Deep Hybrid Networks · Sankore