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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.

Prediction of global solar radiation potential for sustainable and cleaner energy generation using improved Angstrom-Prescott and Gumbel probabilistic models

2022Cleaner Engineering and TechnologyJournalOpen access

10.1016/j.clet.2022.100416 Full text62 citations

Authors

5 authors across 4 institutions in 1 country.

Samuel Chukwujindu NwokoloFirst authorCorresponding
- University of Calabar (NG)
Solomom Okechukwu Amadi
- Federal Medical Centre (NG)
Anthony Umunnakwe Obiwulu
- University of Lagos (NG)
Julie C. Ogbulezie
- University of Calabar (NG)
Effiong Ekpenyong EyibioSenior author
- University of Uyo (NG)

Fields

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

Solar Radiation and Photovoltaicslevel 3 · 1.00
Energy Load and Power Forecastinglevel 3 · 1.00
Energy and Environment Impactslevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2022 · Cleaner Engineering and Technology · 62 citations
https://openalex.org/W4206666897

Prediction of global solar radiation potential for sustainable and cleaner energy generation using improved Angstrom-Prescott and Gumbel probabilistic models · Sankore