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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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What we cover

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 impacts of global climate teleconnection patterns on land water storage using machine learning

2023Journal of Hydrology Regional StudiesJournalOpen access

10.1016/j.ejrh.2023.101346 Full text8 citations

Authors

5 authors across 3 institutions in 3 countries.

Ikechukwu KaluFirst author
- University of Uyo (NG)
Christopher NdehedeheCorresponding
as printed: Christopher E. Ndehedehe
Onuwa Okwuashi
- University of Uyo (NG)
Aniekan E. Eyoh
- University of Uyo (NG)
V.G. FerreiraSenior author
as printed: Vagner G. Ferreira

Fields

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

Geophysics and Gravity Measurementslevel 3 · 1.00
Climate variability and modelslevel 3 · 1.00
Hydrology and Watershed Management Studieslevel 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 · Journal of Hydrology Regional Studies · 8 citations
https://openalex.org/W4321523404

Identifying impacts of global climate teleconnection patterns on land water storage using machine learning · Sankore