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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.

An assimilated deep learning approach to identify the influence of global climate on hydrological fluxes

2022Journal of HydrologyJournalOpen access

10.1016/j.jhydrol.2022.128498 Full text24 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.

Hydrological Forecasting Using AIlevel 3 · 1.00
Hydrology and Watershed Management Studieslevel 3 · 1.00
Climate variability and modelslevel 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
2022 · Journal of Hydrology · 24 citations
https://openalex.org/W4298624132

An assimilated deep learning approach to identify the influence of global climate on hydrological fluxes · Sankore