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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.

A novel spatiotemporal model with advanced feature extraction and unified brain network for depression detection using electroencephalogram signals

2025Royal Society Open ScienceJournalOpen access

10.1098/rsos.242039 Full text0 citations

Authors

4 authors across 3 institutions in 1 country.

O. A. OyinlolaFirst authorCorresponding
- Kwara State University (NG)
Kazeem Alagbe Gbolagade
- Kwara State University (NG)
as printed: K. A. Gbolagade
Ismail Olalekan Lasisi
- Crescent University (NG)
as printed: I. O. Lasisi
A. W. Asaju- GbolagadeSenior author
- University of Ilorin (NG)

Fields

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

EEG and Brain-Computer Interfaceslevel 3 · 1.00
Functional Brain Connectivity Studieslevel 3 · 1.00
ECG Monitoring and Analysislevel 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 · Royal Society Open Science · 0 citations
https://openalex.org/W4414311634

A novel spatiotemporal model with advanced feature extraction and unified brain network for depression detection using electroencephalogram signals · Sankore