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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.

Assessment of Climate Change Impact on Precipitation Using Machine Learning Based Statistical Downscaling Method

2024E3S Web of ConferencesPublicationOpen access

10.1051/e3sconf/202448904004 Full text3 citations

Authors

5 authors across 2 institutions in 2 countries.

Jazuli AbdullahiFirst author
- Baze University (NG)
Ala Tahsin
Mehmet İrfan Yeşilnacar
as printed: Mehmet Irfan Yesilnacar
Abdullah İzzeddin Karabulut
Oluwatoyin DaramolaSenior author
- Baze University (NG)

Fields

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

Hydrological Forecasting Using AIlevel 3 · 0.99
Climate variability and modelslevel 3 · 0.99
Precipitation Measurement and Analysislevel 3 · 0.98

Sources

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

openalexseen September 9, 2026
2024 · E3S Web of Conferences · 3 citations
https://openalex.org/W4391695737

Assessment of Climate Change Impact on Precipitation Using Machine Learning Based Statistical Downscaling Method · Sankore