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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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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.

Mitigating COVID-19 Spread in Closed Populations Using Networked Robots and Internet of Things

2024IEEE Internet of Things JournalJournalOpen access

10.1109/jiot.2024.3431874 Full text12 citations

Authors

5 authors across 4 institutions in 2 countries.

Kennedy Chinedu OkaforFirst author
Kelvin Anoh
Titus Ifeanyi Chinebu
- Federal University of Allied Health Sciences, Enugu (NG)
as printed: Titus I. Chinebu
Bamidele Adebisi
Gloria ChukwudebeSenior author
- Federal University of Technology Owerri (NG)
as printed: Gloria Azogini Chukwudebe

Fields

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

COVID-19 epidemiological studieslevel 3 · 1.00
COVID-19 Pandemic Impactslevel 3 · 0.97
COVID-19 and Mental Healthlevel 3 · 0.97

Sources

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

openalexseen September 9, 2026
2024 · IEEE Internet of Things Journal · 12 citations
https://openalex.org/W4400877515

Mitigating COVID-19 Spread in Closed Populations Using Networked Robots and Internet of Things · Sankore