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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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Machine learning-driven velocity–resistivity modeling: A novel explicit framework for near-surface characterization

2025Journal of Applied GeophysicsJournal

10.1016/j.jappgeo.2025.105955 Full text8 citations

Authors

9 authors across 6 institutions in 4 countries.

Adedibu Sunny AkingboyeFirst authorCorresponding
- Adekunle Ajasin University (NG)
Andy Anderson Bery
Hui Tang
Ayokunle Olalekan Ige
Joseph Gnapragasan
Joseph Gnapragasan
Joseph Gnapragasan
Joseph Gnapragasan
Mbuotidem David DickSenior author
- Akwa Ibom State University (NG)

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 Waves and Analysislevel 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
2025 · Journal of Applied Geophysics · 8 citations
https://openalex.org/W4414338273

Machine learning-driven velocity–resistivity modeling: A novel explicit framework for near-surface characterization · Sankore