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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.

Mapping socio-economic status using mixed data: a hierarchical Bayesian approach

2024Journal of the Royal Statistical Society Series A (Statistics in Society)JournalOpen access

10.1093/jrsssa/qnae080 Full text0 citations

Authors

8 authors across 4 institutions in 3 countries.

Gabrielle Virgili-GervaisFirst author
Alexandra M. SchmidtCorresponding
as printed: Alexandra M Schmidt
Honor Bixby
Alicia Cavanaugh
George Owusu
- University of Ghana (GH)
Samuel Agyei‐Mensah
- University of Ghana (GH)
as printed: Samuel Agyei-Mensah
Brian Robinson
Jill BaumgartnerSenior author

Fields

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

Economic and Environmental Valuationlevel 3 · 0.99
Agricultural Innovations and Practiceslevel 3 · 0.96
Food Security and Health in Diverse Populationslevel 3 · 0.96

Sources

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

openalexseen September 5, 2026
2024 · Journal of the Royal Statistical Society Series A (Statistics in Society) · 0 citations
https://openalex.org/W4402100011

Mapping socio-economic status using mixed data: a hierarchical Bayesian approach · Sankore