Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

Leveraging Artificial Intelligence And Statistical Methods For Evaluating Geotechnical Properties Of Lateritic Soil In Road Construction: A Case Study On The Umuahia-Ikot Ekpene Road

2025Journal of Science and TechnologyJournalOpen access

10.20428/jst.v30i12.3253 Full text0 citations

Authors

3 authors.

Hyginus Obinna OziokoFirst author
- Michael Okpara University of Agriculture (NG)
Emmanuel Ebube Eze
- Michael Okpara University of Agriculture (NG)
J. E IgweSenior author
- Michael Okpara University of Agriculture (NG)
as printed: Johnson Igwe Igwe

Fields

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

Geotechnical and construction materials studieslevel 3 · 0.43
Soil and Unsaturated Flowlevel 3 · 0.06
Engineering and Material Science Researchlevel 3 · 0.04

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 Science and Technology · 0 citations
https://openalex.org/W7125401388

Leveraging Artificial Intelligence And Statistical Methods For Evaluating Geotechnical Properties Of Lateritic Soil In Road Construction: A Case Study On The Umuahia-Ikot Ekpene Road · Sankore