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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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Subsurface Lithological Characterization Via Machine Learning-assisted Electrical Resistivity and SPT-N Modeling: A Case Study from Sabah, Malaysia

2024Earth Systems and EnvironmentJournal

10.1007/s41748-024-00516-8 Full text14 citations

Authors

9 authors across 6 institutions in 4 countries.

Mbuotidem David DickFirst authorCorresponding
- Akwa Ibom State University (NG)
- Akwa Ibom State Polytechnic (NG)
Andy Anderson BeryCorresponding
Adedibu Sunny Akingboye
- Adekunle Ajasin University (NG)
Kufre Richard Ekanem
- Akwa Ibom State University (NG)
- Akwa Ibom State Polytechnic (NG)
Erukaa Moses
Sanju PurohitSenior author
- Sustainability Institute (ZA)
Sanju PurohitSenior author
- Sustainability Institute (ZA)
Sanju PurohitSenior author
- Sustainability Institute (ZA)
Sanju PurohitSenior author
- Sustainability Institute (ZA)

Fields

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

Geophysical and Geoelectrical Methodslevel 3 · 1.00
Geophysical Methods and Applicationslevel 3 · 1.00
Seismic Imaging and Inversion Techniqueslevel 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
2024 · Earth Systems and Environment · 14 citations
https://openalex.org/W4404085550

Subsurface Lithological Characterization Via Machine Learning-assisted Electrical Resistivity and SPT-N Modeling: A Case Study from Sabah, Malaysia · Sankore