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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.

Machine learning-based shoreline change prediction and erosion analysis: a case study of Ogu/Bolo, Nigeria

2025Discover Civil EngineeringJournalOpen access

10.1007/s44290-025-00396-5 Full text6 citations

Authors

10 authors across 7 institutions in 2 countries.

Ifunanya OsonduFirst authorCorresponding
- University of Port Harcourt (NG)
Okes Imoni
- Niger Delta University (NG)
Prince Chukwuemeka
Meremu Dogiye Amos
- Rivers State University (NG)
David Inioluwa Ajibade
- Federal University of Agriculture, Abeokuta (NG)
Omabuwa O. Mene-Ejegi
- Rivers State University (NG)
Chinwe Felicia Mogo
- Lagos State Health Service Commission (NG)
Eteh Desmond Rowland
- Niger Delta University (NG)
as printed: Desmond R. Eteh
Endurance Onyenweuwa Nwadoziokwu
Charles U. AkajiakuSenior author
- University of Port Harcourt (NG)
- Rivers State University (NG)

Fields

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

Coastal and Marine Dynamicslevel 3 · 0.88
Coastal wetland ecosystem dynamicslevel 3 · 0.07
Flood Risk Assessment and Managementlevel 3 · 0.01

Sources

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

openalexseen September 9, 2026
2025 · Discover Civil Engineering · 6 citations
https://openalex.org/W7117450330

Machine learning-based shoreline change prediction and erosion analysis: a case study of Ogu/Bolo, Nigeria · Sankore