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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.

Simulation of the Impacts of Sea-Level Rise on Coastal Ecosystems in Benin Using a Combined Approach of Machine Learning and the Sea Level Affecting Marshes Model

2023SustainabilityJournalOpen access

10.3390/su152216001 Full text9 citations

Authors

7 authors across 2 institutions in 2 countries.

Sèna Donalde Dolorès Marguerite DéguénonFirst authorCorresponding
- University of Cape Coast (GH)
as printed: Sèna Donalde Dolorès Marguerite Deguenon
Castro Gbêmêmali Hounmenou
Richard Adade
- University of Cape Coast (GH)
Oscar Teka
Ismaila Imorou Toko
Denis Worlanyo Aheto
- University of Cape Coast (GH)
Brice SinsinSenior author

Fields

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

Coastal and Marine Dynamicslevel 3 · 1.00
Coastal wetland ecosystem dynamicslevel 3 · 0.99
Flood Risk Assessment and Managementlevel 3 · 0.99

Sources

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

crossrefseen September 6, 2026
2023 · Sustainability · 9 citations
10.3390/su152216001
openalexseen September 5, 2026
2023 · Sustainability · 9 citations
https://openalex.org/W4388730719

Simulation of the Impacts of Sea-Level Rise on Coastal Ecosystems in Benin Using a Combined Approach of Machine Learning and the Sea Level Affecting Marshes Model · Sankore