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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.

Utilizing Machine Learning to Examine the Spatiotemporal Changes in Africa’s Partial Atmospheric Layer Thickness

2023SustainabilityJournalOpen access

10.3390/su16010256 Full text2 citations

Authors

5 authors across 3 institutions in 3 countries.

Chibuike Chiedozie IbebuchiFirst authorCorresponding
Itohan-Osa Abu
Clement Nyamekye
- Koforidua Technical University (GH)
Emmanuel Agyapong
- Koforidua Technical University (GH)
Linda Appiah BoamahSenior author
- Koforidua Technical University (GH)
as printed: Linda Boamah

Fields

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

Climate variability and modelslevel 3 · 1.00
Meteorological Phenomena and Simulationslevel 3 · 0.99
Hydrology and Drought Analysislevel 3 · 0.99

Sources

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

openalexseen September 5, 2026
2023 · Sustainability · 2 citations
https://openalex.org/W4390270322

Utilizing Machine Learning to Examine the Spatiotemporal Changes in Africa’s Partial Atmospheric Layer Thickness · Sankore