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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.

Examining site intervention efficacy and uncertainties with conceptual Bayesian networks: preventing offsite migration of DNAPL and contaminated groundwater

2024Environmental Science and Pollution ResearchJournal

10.1007/s11356-024-34340-4 Full text3 citations

Authors

5 authors across 3 institutions in 2 countries.

John F. CarrigerFirst authorCorresponding
- Environmental Protection Agency (GH)
Michael C. Brooks
- Environmental Protection Agency (GH)
Carolyn M. Acheson
- Environmental Protection Agency (GH)
as printed: Carolyn Acheson
Ronald Herrmann
- Environmental Protection Agency (GH)
Lee RheaSenior author
- Environmental Protection Agency (GH)

Fields

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

Bayesian Modeling and Causal Inferencelevel 3 · 0.99
Data Quality and Managementlevel 3 · 0.96
Machine Learning and Algorithmslevel 3 · 0.95

Sources

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

openalexseen September 5, 2026
2024 · Environmental Science and Pollution Research · 3 citations
https://openalex.org/W4400660699

Examining site intervention efficacy and uncertainties with conceptual Bayesian networks: preventing offsite migration of DNAPL and contaminated groundwater · Sankore