Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

Application of Machine Learning in Predicting Emergency Obstetric Cases in Sub-Saharan Africa: An Early Appraisal

2025International Journal of Industrial Engineering Technology & Operations ManagementJournalOpen access

10.62157/ijietom.v3i1.78 Full text0 citations

Authors

2 authors.

Nkemakonam Chidiebubea IgbokweFirst author
- Nnamdi Azikiwe University (NG)
as printed: Nkemakonam Chidiebube Igbokwe
Charles Onyeka NwamekweSenior author
- Nnamdi Azikiwe University (NG)

Fields

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

Artificial Intelligence in Healthcare and Educationlevel 3 · 0.10
Global Maternal and Child Healthlevel 3 · 0.09
Maternal and fetal healthcarelevel 3 · 0.07

Sources

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

openalexseen September 9, 2026
2025 · International Journal of Industrial Engineering Technology & Operations Management · 0 citations
https://openalex.org/W7134825230

Application of Machine Learning in Predicting Emergency Obstetric Cases in Sub-Saharan Africa: An Early Appraisal · Sankore