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

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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.

Imeh Umoren · Sankore

Federal University of Technology

Imeh Umoren

Name matching only

This profile was assembled from author names on publications. Open indexes routinely split one researcher across several such profiles, so these totals may be incomplete.

Publications

4

Citations

0

h-index

0

Computed over the works the graph holds, so it is a floor rather than a career figure.

i10-index

0

Works published 2022 onward have been swept for this country. Figures are complete within that window, to the extent the open indexes are.

Affiliations

Every institution this scholar has appeared with on a work, by how many.

Akwa Ibom State University2 works
Federal University of Technology1 works

Publications

4 works in the graph, newest first.

A Comparative Study of Machine Learning Models for Hypertension Risk Assessment With Explainable Artificial Intelligence Integration
2026Cureus Journal of Computer Science.JournalOpen access0 citations10.7759/s44389-026-00111-0
Real-Time Sign Language Recognition System for Enhancing Emergency Response Among Hearing-Impaired Patients
2026Cureus Journal of Computer Science.JournalOpen access0 citations10.7759/s44389-026-00229-1
Modeling and Evaluation of Soft Handoff in Wireless Communication Networks for Effective Performance Based on Traffic Indicators
2022Researchers Journal of Science and TechnologyJournalOpen accessFirst author0 citations10.83080/rejost.vol1no1.5
Intelligent Surveillance and Facial Recognition System for Efficient Border Monitoring and Threats Prediction Using Machine Learning Approach
2022Researchers Journal of Science and TechnologyJournalOpen accessFirst author0 citations10.83080/rejost.vol1no1.6