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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.

Quantifying coastal ecosystem trophic state at a macroscale using a Bayesian analytical framework

2022Ecological IndicatorsJournalOpen access

10.1016/j.ecolind.2022.109267 Full text14 citations

Authors

6 authors across 2 institutions in 2 countries.

James D. HagyFirst authorCorresponding
- Environmental Protection Agency (GH)
Betty J. Kreakie
- Environmental Protection Agency (GH)
Marguerite C. Pelletier
- Environmental Protection Agency (GH)
Farnaz Nojavan
- Environmental Protection Agency (GH)
John Kiddon
- Environmental Protection Agency (GH)
as printed: John A. Kiddon
Autumn OczkowskiSenior author
- Environmental Protection Agency (GH)
as printed: Autumn J. Oczkowski

Fields

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

Marine and fisheries researchlevel 3 · 1.00
Marine Biology and Ecology Researchlevel 3 · 0.99
Marine and coastal ecosystemslevel 3 · 0.99

Sources

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

openalexseen September 5, 2026
2022 · Ecological Indicators · 14 citations
https://openalex.org/W4292333625

Quantifying coastal ecosystem trophic state at a macroscale using a Bayesian analytical framework · Sankore