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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.

Comparative Study of Low and High Sparsity of a Sparse Principal Component Analysis Model on Some Health Indices

2026Faculty of Natural and Applied Sciences Journal of Mathematical Modeling and Numerical SimulationJournalOpen access

10.63561/jmns.v3i1.1212 Full text0 citations

Authors

3 authors across 4 institutions in 1 country.

Nwankwo Okwareke KaluFirst author
- Abia State Polytechnic (NG)
- Abia State University (NG)
Inamete, Emem Ndah Happiness
- The Federal Polytechnic, Ado-Ekiti (NG)
as printed: Emem Ndah Happiness Inamete
Biu, Emmanuel OyinebifunSenior author
- University of Port Harcourt (NG)
as printed: Emmanuel Oyinebifun Biu

Fields

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

Statistical Methods and Applicationslevel 3 · 0.09
Global Health Care Issueslevel 3 · 0.08
Advanced Statistical Methods and Modelslevel 3 · 0.05

Sources

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

openalexseen September 9, 2026
2026 · Faculty of Natural and Applied Sciences Journal of Mathematical Modeling and Numerical Simulation · 0 citations
https://openalex.org/W7161863396

Comparative Study of Low and High Sparsity of a Sparse Principal Component Analysis Model on Some Health Indices · Sankore