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.

Categorisation of African Countries: Cluster Analysis of Maternal Mortality based on Health Expenditure Trends (2000-2023)- A Machine Learning Approach to SDG 3.1 Prioritisation

2025E-Journal of Humanities Arts and Social SciencesJournalOpen access

10.38159/ehass.202561439 Full text0 citations

Authors

2 authors across 2 institutions in 2 countries.

Pinky Lalthapersad-PillayFirst author
- University of South Africa (ZA)
Peter Oseghale OhueSenior author
- University of Ibadan (NG)
as printed: Peter Ohue

Fields

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

Global Health Care Issueslevel 3 · 0.52
Global Maternal and Child Healthlevel 3 · 0.38
Healthcare Systems and Reformslevel 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 · E-Journal of Humanities Arts and Social Sciences · 0 citations
https://openalex.org/W7122374789

Categorisation of African Countries: Cluster Analysis of Maternal Mortality based on Health Expenditure Trends (2000-2023)- A Machine Learning Approach to SDG 3.1 Prioritisation · Sankore