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.

Using machine learning models to predict the effects of seasonal fluxes on Plesiomonas shigelloides population density

2022Environmental PollutionJournal

10.1016/j.envpol.2022.120734 Full text10 citations

Authors

4 authors across 6 institutions in 3 countries.

Temitope Cyrus EkundayoFirst authorCorresponding
as printed: Temitope C. Ekundayo
Oluwatosin Ademola Ijabadeniyi
- Durban University of Technology (ZA)
as printed: Oluwatosin A. Ijabadeniyi
Etinosa O. Igbinosa
- University of Fort Hare (ZA)
- University of Benin (NG)
Anthony Ifeanyi OkohSenior author
- University of Fort Hare (ZA)
as printed: Anthony I. Okoh

Fields

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

Water Quality Monitoring Technologieslevel 3 · 1.00
Water Quality Monitoring and Analysislevel 3 · 0.99
Hydrological Forecasting Using AIlevel 3 · 0.98

Sources

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

openalexseen September 9, 2026
2022 · Environmental Pollution · 10 citations
https://openalex.org/W4310170704

Using machine learning models to predict the effects of seasonal fluxes on Plesiomonas shigelloides population density · Sankore