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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.

Explainable Artificial Intelligence Estimation of Maximum Dry Density in Soil Compaction Based on Basic Soil Properties and Compaction Energy

2025Transportation Infrastructure GeotechnologyJournal

10.1007/s40515-025-00552-5 Full text6 citations

Authors

5 authors across 4 institutions in 3 countries.

Rodney Ewusi-WilsonFirst authorCorresponding
- University of Mines and Technology (GH)
Jerome Anabannye Yendaw
- Botswana International University of Science and Technology (BW)
Sylvanus Sebbeh-Newton
- University of Mines and Technology (GH)
Emmanuel Ike
- Modibbo Adama University of Technology (NG)
Felix Jojo Fianko AyehSenior author
- Kwame Nkrumah University of Science and Technology (GH)

Fields

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

Soil and Unsaturated Flowlevel 3 · 0.98
Image Processing and 3D Reconstructionlevel 3 · 0.97
Landfill Environmental Impact Studieslevel 3 · 0.92

Sources

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

openalexseen September 9, 2026
2025 · Transportation Infrastructure Geotechnology · 6 citations
https://openalex.org/W4407281988

Explainable Artificial Intelligence Estimation of Maximum Dry Density in Soil Compaction Based on Basic Soil Properties and Compaction Energy · Sankore