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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.

Utilization of Machine Learning Techniques in Predicting Burnout in Organizations

2026International Journal of Computer ApplicationsJournalOpen access

10.5120/ijcad176c5fa8dee Full text0 citations

Authors

4 authors across 3 institutions in 2 countries.

Ifeoluwa OduwaiyeFirst author
- Bells University of Technology (NG)
- University of Lagos (NG)
S. Oyefusi
as printed: Samuel Oyefusi
Ayoola Okunlola
- Bells University of Technology (NG)
- University of Lagos (NG)
Melody AlabiSenior author
- Bells University of Technology (NG)
- University of Lagos (NG)

Fields

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

AI and HR Technologieslevel 3 · 0.53
Advanced Technologies in Various Fieldslevel 3 · 0.04
Organizational and Employee Performancelevel 3 · 0.03

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 Computer Applications · 0 citations
https://openalex.org/W7165963362

Utilization of Machine Learning Techniques in Predicting Burnout in Organizations · Sankore