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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 and Remote Sensing for Gully Erosion Susceptibility Mapping in Southeast Nigeria: Progress, Challenges, and Research Priorities

2026Nigerian Journal of PhysicsJournalOpen access

10.62292/njp.v35i4.2026.655 Full text0 citations

Authors

4 authors across 4 institutions in 1 country.

Oludare Olukayode BabalolaFirst author
- Lead City University (NG)
Babatunde Adebo
- Lead City University (NG)
Odunayo Christiana Ogunleye
- Adekunle Ajasin University (NG)
- Obafemi Awolowo University (NG)
- Ekiti State University (NG)
Rukayat Damilola AdedokunSenior author
- Lead City University (NG)

Fields

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

Soil erosion and sediment transportlevel 3 · 0.89
Flood Risk Assessment and Managementlevel 3 · 0.04
Coastal and Marine Dynamicslevel 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
2026 · Nigerian Journal of Physics · 0 citations
https://openalex.org/W7202030821

Machine Learning and Remote Sensing for Gully Erosion Susceptibility Mapping in Southeast Nigeria: Progress, Challenges, and Research Priorities · Sankore