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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.

Machine Learning Approaches for Predicting Geoid Undulations to Improve Orthometric Height Determination in Data-Scarce Regions

2026Earth Sciences Research JournalJournalOpen access

10.15446/esrj.v30n1.122297 Full text0 citations

Authors

3 authors.

Raufu OlatunjiFirst author
- Lead City University (NG)
as printed: Ibrahim Olatunji Raufu
Azeez, Abubakri
- Lead City University (NG)
as printed: Abubakri Azeez
Ojo, AderemiSenior author
- Lead City University (NG)
as printed: Aderemi Ojo

Fields

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

Geophysics and Gravity Measurementslevel 3 · 0.66
GNSS positioning and interferencelevel 3 · 0.22
Geodetic Measurements and Engineering Structureslevel 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 · Earth Sciences Research Journal · 0 citations
https://openalex.org/W7164194997

Machine Learning Approaches for Predicting Geoid Undulations to Improve Orthometric Height Determination in Data-Scarce Regions · Sankore