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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.

Neuro-Symbolic Artificial Intelligence for Explainable Real-Time Anomaly Detection in Agricultural Commodity Markets: A Systematic Review and Architectural Framework for Developing Economies

2026International Journal of Research and Innovation in Social ScienceJournalOpen access

10.47772/ijriss.2026.1026edu0293 Full text0 citations

Authors

3 authors across 2 institutions in 2 countries.

Badamasi Imam Ya’uFirst author
- Islamic University in Uganda (UG)
as printed: Badamasi Imam Ya’u.
Ali Usman Abdullahi
- Federal College of Education, Kano (NG)
Grace Ojochennemi Emmanuel AnorueSenior author
- Federal College of Education, Kano (NG)

Fields

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

Stock Market Forecasting Methodslevel 3 · 0.24
Anomaly Detection Techniques and Applicationslevel 3 · 0.24
Explainable Artificial Intelligence (XAI)level 3 · 0.13

Sources

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

openalexseen September 9, 2026
2026 · International Journal of Research and Innovation in Social Science · 0 citations
https://openalex.org/W7164416104

Neuro-Symbolic Artificial Intelligence for Explainable Real-Time Anomaly Detection in Agricultural Commodity Markets: A Systematic Review and Architectural Framework for Developing Economies · Sankore