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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.

Landslide Risk Analysis Using Machine Learning Principles: A Case Study of Bukit Antrabangsa Landslide Incidence

2022Journal of Hunan University Natural SciencesJournalOpen access

10.55463/issn.1674-2974.49.5.13 Full text5 citations

Authors

4 authors across 4 institutions in 3 countries.

M.B IbrahimFirst author
- Hussaini Adamu Federal Polytechnic (NG)
- The Federal Polytechnic, Ado-Ekiti (NG)
as printed: Muhammad Bello Ibrahim
Z. Mustaffa
as printed: Zahiraniza Mustaffa
Abdul‐Lateef Balogun
as printed: Abdul-Lateef Balogun
H. H. Indra SatiSenior author

Fields

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

Landslides and related hazardslevel 3 · 0.99
Flood Risk Assessment and Managementlevel 3 · 0.90

Sources

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

openalexseen September 9, 2026
2022 · Journal of Hunan University Natural Sciences · 5 citations
https://openalex.org/W4289533558

Landslide Risk Analysis Using Machine Learning Principles: A Case Study of Bukit Antrabangsa Landslide Incidence · Sankore