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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.

Predicting bird species detection in avian ecology using machine learning models, environmental factors, and tree characteristics

2025Environmental and Ecological StatisticsJournal

10.1007/s10651-025-00672-8 Full text3 citations

Authors

3 authors across 2 institutions in 1 country.

F. A. EgwumahFirst authorCorresponding
- Federal University of Technology Owerri (NG)
U. E. Ekwugha
- Federal University of Technology Owerri (NG)
Pius O. EgwumahSenior author
- Joseph Sarwuan Tarka University Makurdi (NG)
as printed: P. O. Egwumah

Fields

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

Species Distribution and Climate Changelevel 3 · 1.00
Wildlife Ecology and Conservationlevel 3 · 0.99
Fire effects on 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 9, 2026
2025 · Environmental and Ecological Statistics · 3 citations
https://openalex.org/W4413240672

Predicting bird species detection in avian ecology using machine learning models, environmental factors, and tree characteristics · Sankore