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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.

Numerical Modeling for Optimizing and Validating Extrusion Process Conditions for the Proximate Composition of Blended Aerial Yam and Soybean Flours

2024African Journal of Advances in Science and Technology ResearchJournalOpen access

10.62154/ajastr.2024.017.010520 Full text1 citations

Authors

3 authors across 2 institutions in 1 country.

Enobong O. UmohFirst author
- Akwa Ibom State University (NG)
as printed: Enobong Okon Umoh
Madu O. Iwe
- Michael Okpara University of Agriculture (NG)
as printed: Madu Ofo Iwe
Philippa C. OjimelukweSenior author
- Michael Okpara University of Agriculture (NG)

Fields

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

Food composition and propertieslevel 3 · 0.99
Polysaccharides Composition and Applicationslevel 3 · 0.99
Botanical Research and Applicationslevel 3 · 0.96

Sources

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

openalexseen September 9, 2026
2024 · African Journal of Advances in Science and Technology Research · 1 citations
https://openalex.org/W4405402177

Numerical Modeling for Optimizing and Validating Extrusion Process Conditions for the Proximate Composition of Blended Aerial Yam and Soybean Flours · Sankore