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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.

Deep learning models for comprehensive landslide susceptibility study considering climate change and sustainable development implications in Western Province of Rwanda

2026Natural HazardsJournal

10.1007/s11069-026-08182-x Full text1 citations

Authors

7 authors across 7 institutions in 3 countries.

Vincent E. NwazelibeFirst author
Mubarak Abdulkarim
Johnson C. Agbasi
- Chukwuemeka Odumegwu Ojukwu University (NG)
Emmanuel C. Okpala
- University of Maiduguri (NG)
Chaitanya B. Pande
Sani I. Abba
Johnbosco C. EgbueriSenior authorCorresponding
- Chukwuemeka Odumegwu Ojukwu University (NG)

Fields

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

Landslides and related hazardslevel 3 · 0.73
Groundwater and Watershed Analysislevel 3 · 0.03
Disaster Management and Resiliencelevel 3 · 0.02

Sources

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

openalexseen September 9, 2026
2026 · Natural Hazards · 1 citations
https://openalex.org/W7160547583

Deep learning models for comprehensive landslide susceptibility study considering climate change and sustainable development implications in Western Province of Rwanda · Sankore