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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.

A Machine Learning Model for Assessing the Prevalence of Counterfeit Antimalarial in Geographical Zones of Nigeria

2024International Journal of Innovative Research in Medical ScienceJournalOpen access

10.23958/ijirms/vol09-i05/1877 Full text0 citations

Authors

4 authors across 3 institutions in 2 countries.

Oluwole Adegoke NugaFirst author
- Bells University of Technology (NG)
as printed: OLUWOLE NUGA
Anuoluwapo Adigun
Emmanuel Shobanke
- The Federal Polytechnic, Ado-Ekiti (NG)
Abba Zakirai AbdulhamidSenior author
- Bells University of Technology (NG)
as printed: Abba Abdulhamid

Fields

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

Diverse Scientific Research Studieslevel 3 · 0.93
Pharmaceutical Quality and Counterfeitinglevel 3 · 0.90

Sources

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

openalexseen September 9, 2026
2024 · International Journal of Innovative Research in Medical Science · 0 citations
https://openalex.org/W4398159123

A Machine Learning Model for Assessing the Prevalence of Counterfeit Antimalarial in Geographical Zones of Nigeria · Sankore