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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.

Development of MLR and variedly optimized ANN models for forecasting the detachability and liquefaction potential index of erodible soils

2022Geosystems and GeoenvironmentJournalOpen access

10.1016/j.geogeo.2022.100104 Full text46 citations

Authors

4 authors across 3 institutions in 1 country.

Johnbosco C. EgbueriFirst authorCorresponding
- Chukwuemeka Odumegwu Ojukwu University (NG)
Ogbonnaya Igwe
- University of Nigeria (NG)
Michael E. Omeka
- University of Calabar (NG)
Johnson C. AgbasiSenior author
- Chukwuemeka Odumegwu Ojukwu University (NG)

Fields

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

Landslides and related hazardslevel 3 · 1.00
Soil and Unsaturated Flowlevel 3 · 1.00
Dam Engineering and Safetylevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2022 · Geosystems and Geoenvironment · 46 citations
https://openalex.org/W4283714832

Development of MLR and variedly optimized ANN models for forecasting the detachability and liquefaction potential index of erodible soils · Sankore