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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.

Bias reduction of CFSR data with random forest for applications in water resources modelling in Ogun River

2025Hydrological Sciences JournalJournalOpen access

10.1080/02626667.2025.2467337 Full text1 citations

Authors

5 authors across 5 institutions in 3 countries.

O. O. AiyelokunFirst author
- University of Ibadan (NG)
as printed: Oluwatobi Aiyelokun
Gbenga Oyewole Ogunsanwo
- Tai Solarin University of Education (NG)
as printed: Gbenga Ogunsanwo
Quoc Bao PhamCorresponding
Oluwadamilola Salau
Precious Eguagie-SuyiSenior author
- Federal University of Technology (NG)

Fields

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

Hydrology and Watershed Management Studieslevel 3 · 1.00
Hydrological Forecasting Using AIlevel 3 · 1.00
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.

openalexseen September 9, 2026
2025 · Hydrological Sciences Journal · 1 citations
https://openalex.org/W4407525320

Bias reduction of CFSR data with random forest for applications in water resources modelling in Ogun River · Sankore