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.

Exploring machine learning algorithms for predicting fertility preferences among reproductive age women in Nigeria · Sankore

Exploring machine learning algorithms for predicting fertility preferences among reproductive age women in Nigeria

2025Frontiers in Digital HealthJournalOpen access

10.3389/fdgth.2024.1495382 Full text4 citations

Authors

6 authors across 4 institutions in 2 countries.

Zinabu Bekele TadeseFirst authorCorresponding
- Samara University (ET)
Teshome Demis Nimani
- Haramaya University (ET)
Kusse Urmale Mare
- Samara University (ET)
Fetlework Gubena
- University of Gondar (ET)
Ismail Garba Wali
- Federal University Birnin Kebbi (NG)
Jamilu SaniSenior author
- Federal University Birnin Kebbi (NG)

Fields

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

Global Maternal and Child Healthlevel 3 · 0.36
Reproductive Health and Technologieslevel 3 · 0.05
Cancer Research and Treatmentlevel 3 · 0.05

Sources

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

openalexseen September 10, 2026
2025 · Frontiers in Digital Health · 4 citations
https://openalex.org/W4406464896