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.

Modeling and predicting industrial carbon emissions in Nigeria using machine learning

2026Academia Environmental Sciences and SustainabilityJournalOpen access

10.20935/acadenvsci8134 Full text1 citations

Authors

4 authors across 5 institutions in 2 countries.

Benneth OyinnaFirst authorCorresponding
- University of Port Harcourt (NG)
- University of Nigeria (NG)
Zubairu Usman
- Ahmadu Bello University (NG)
Aisha Abisoye
- Federal University of Technology (NG)
Kenneth E. OkeduSenior author
- University of Port Harcourt (NG)
as printed: Kenneth Okedu

Fields

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

Air Quality Monitoring and Forecastinglevel 3 · 0.30
Environmental Impact and Sustainabilitylevel 3 · 0.08
COVID-19 impact on air qualitylevel 3 · 0.06

Sources

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

openalexseen September 9, 2026
2026 · Academia Environmental Sciences and Sustainability · 1 citations
https://openalex.org/W7128851789

Modeling and predicting industrial carbon emissions in Nigeria using machine learning · Sankore