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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.

Identifying major climate extreme indices driver of stream flow discharge variability using machine learning and SHaply Additive Explanation

2023Sustainable Water Resources ManagementJournal

10.1007/s40899-023-00897-0 Full text9 citations

Authors

6 authors across 3 institutions in 2 countries.

Zaharaddeen IsaFirst authorCorresponding
- Kaduna State University (NG)
A. F. Abdussalam
- Kaduna State University (NG)
as printed: Auwal F. Abdussalam
Bulus Ajiya Sawa
- Ahmadu Bello University (NG)
Muktar Ibrahim
- Ahmadu Bello University (NG)
Umar Abdulkadir Isa
Abu-Hanifa BabatiSenior author
- Kaduna State University (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 · 1.00

Sources

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

openalexseen September 9, 2026
2023 · Sustainable Water Resources Management · 9 citations
https://openalex.org/W4383550923

Identifying major climate extreme indices driver of stream flow discharge variability using machine learning and SHaply Additive Explanation · Sankore