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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 geochemical classification of kerogen types in the Nkhata Basin, Malawi

2026Earth Science InformaticsJournal

10.1007/s12145-026-02079-w Full text0 citations

Authors

5 authors across 4 institutions in 2 countries.

Luzana KamtangwalaFirst authorCorresponding
- Pan-Atlantic University (NG)
- University of Ibadan (NG)
Nathan Bwengye
- Pan-Atlantic University (NG)
- University of Ibadan (NG)
Kouadio Dieudonné Baudelaire Attouman
- Pan-Atlantic University (NG)
- University of Ibadan (NG)
Jerome Edafe Asedegbega
- Pan-Atlantic University (NG)
- University of Ibadan (NG)
Solomon Adeniyi AdekolaSenior author
- Pan-Atlantic University (NG)
- Obafemi Awolowo University (NG)
- University of Ibadan (NG)

Fields

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

Hydrocarbon exploration and reservoir analysislevel 3 · 0.88
Geochemistry and Geologic Mappinglevel 3 · 0.10
Geological and Geochemical Analysislevel 3 · 0.00

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 Science Informatics · 0 citations
https://openalex.org/W7133823578

Machine learning-driven geochemical classification of kerogen types in the Nkhata Basin, Malawi · Sankore