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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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A unified geostatistical machine learning framework for predicting and attributing arsenic contamination in southwestern Ghana

2026Discover EnvironmentJournalOpen access

10.1007/s44274-026-00754-9 Full text0 citations

Authors

3 authors across 2 institutions in 2 countries.

Senyefia Bosson-AmedenuFirst authorCorresponding
- Takoradi Technical University (GH)
Emmanuel Ayitey
- Takoradi Technical University (GH)
Bridget Sena BorborSenior author

Fields

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

Soil Geostatistics and Mappinglevel 3 · 0.36
Arsenic contamination and mitigationlevel 3 · 0.21
Geochemistry and Geologic Mappinglevel 3 · 0.16

Sources

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

openalexseen September 5, 2026
2026 · Discover Environment · 0 citations
https://openalex.org/W7161965038

A unified geostatistical machine learning framework for predicting and attributing arsenic contamination in southwestern Ghana · Sankore