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.

Predicting Childhood Anaemia in Nigeria: A Machine Learning Approach to Uncover Key Risk Factors

2025Public Health ChallengesJournalOpen access

10.1002/puh2.70135 Full text2 citations

Authors

2 authors across 2 institutions in 2 countries.

Ibrahim Khalil Ja'afarFirst authorCorresponding
- University of Maiduguri (NG)
Olalekan A UthmanSenior author
as printed: Olalekan A. Uthman

Fields

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

Iron Metabolism and Disorderslevel 3 · 0.89
Child Nutrition and Water Accesslevel 3 · 0.02
Health Education and Validationlevel 3 · 0.01

Sources

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

openalexseen September 9, 2026
2025 · Public Health Challenges · 2 citations
https://openalex.org/W4414629328

Predicting Childhood Anaemia in Nigeria: A Machine Learning Approach to Uncover Key Risk Factors · Sankore