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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.

Predictive Modeling of Modified Asphalt Mixture Rutting Potentials: Machine Learning Approach

2023Iranian Journal of Science and Technology Transactions of Civil EngineeringJournal

10.1007/s40996-023-01192-w Full text25 citations

Authors

4 authors across 2 institutions in 1 country.

Idorenyin Ndarake UsangaFirst authorCorresponding
- Akwa Ibom State University (NG)
Chijioke Christopher IkeagwuaniCorresponding
- University of Nigeria (NG)
Roland Kufre EtimCorresponding
- Akwa Ibom State University (NG)
Imoh Christopher AttahSenior authorCorresponding
- Akwa Ibom State University (NG)

Fields

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

Asphalt Pavement Performance Evaluationlevel 3 · 1.00
Infrastructure Maintenance and Monitoringlevel 3 · 1.00
Transport Systems and Technologylevel 3 · 0.91

Sources

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

openalexseen September 9, 2026
2023 · Iranian Journal of Science and Technology Transactions of Civil Engineering · 25 citations
https://openalex.org/W4384927655

Predictive Modeling of Modified Asphalt Mixture Rutting Potentials: Machine Learning Approach · Sankore