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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.

Towards improved streamflow predictions in the Niger River basin: a climate-driven deep learning approach

2025Hydrological Sciences JournalJournal

10.1080/02626667.2025.2595278 Full text0 citations

Authors

3 authors across 3 institutions in 1 country.

J.J. IdolorFirst authorCorresponding
- Adekunle Ajasin University (NG)
- Obafemi Awolowo University (NG)
- Ekiti State University (NG)
as printed: Jefia J. Idolor
A. Adediji
- Adekunle Ajasin University (NG)
- Obafemi Awolowo University (NG)
- Ekiti State University (NG)
as printed: Aderemi Adediji
Peter Adebayo IdowuSenior author
- Adekunle Ajasin University (NG)
- Obafemi Awolowo University (NG)
- Ekiti State University (NG)

Fields

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

Hydrological Forecasting Using AIlevel 3 · 0.56
Hydrology and Watershed Management Studieslevel 3 · 0.08
Fish Ecology and Management Studieslevel 3 · 0.06

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 · 0 citations
https://openalex.org/W4416998340

Towards improved streamflow predictions in the Niger River basin: a climate-driven deep learning approach · Sankore