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.

Smart waterborne disease control for a scalable population using biodynamic model in IoT network

2024Computers in Biology and MedicineJournalOpen access

10.1016/j.compbiomed.2024.109034 Full text6 citations

Authors

8 authors across 7 institutions in 3 countries.

Titus Ifeanyi ChinebuFirst author
- Federal Medical Centre (NG)
as printed: Titus I. Chinebu
Kennedy Chinedu OkaforCorresponding
- University of Johannesburg (ZA)
- Federal University of Technology Owerri (NG)
Kelvin Anoh
Henrietta Onyinye Uzoeto
- University of Nigeria (NG)
as printed: Henrietta O. Uzoeto
Victor Onukwube Apeh
- University of Nigeria (NG)
as printed: Victor O. Apeh
Ijeoma P. Okafor
Bamidele Adebisi
Okoronkwo Chukwunenye AnthonySenior author
- Federal University of Technology Owerri (NG)
as printed: Chukwunenye A. Okoronkwo

Fields

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

Water Quality Monitoring Technologieslevel 3 · 0.95
IoT-based Smart Home Systemslevel 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
2024 · Computers in Biology and Medicine · 6 citations
https://openalex.org/W4402081909

Smart waterborne disease control for a scalable population using biodynamic model in IoT network · Sankore