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.

ARDL-VECM ANALYSIS OF ARTIFICIAL INTELLIGENCE ADOPTION AND TAX REVENUE COLLECTION EFFICIENCY IN NIGERIA (2015–2025)

2026International Journal of Social Sciences and Management ReviewJournalOpen access

10.37602/ijssmr.2026.9417 Full text0 citations

Authors

2 authors.

UNUSOTAME, OKIEMUTE OMENASAFirst author
- Delta State University (NG)
Okolie Augustine OkeSenior author
as printed: Prof. OKOLIE AUGUSTINE OKE

Fields

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

Taxation and Compliance Studieslevel 3 · 0.33
Economic Growth and Developmentlevel 3 · 0.14
COVID-19 Pandemic Impactslevel 3 · 0.05

Sources

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

openalexseen September 9, 2026
2026 · International Journal of Social Sciences and Management Review · 0 citations
https://openalex.org/W7204100895

ARDL-VECM ANALYSIS OF ARTIFICIAL INTELLIGENCE ADOPTION AND TAX REVENUE COLLECTION EFFICIENCY IN NIGERIA (2015–2025) · Sankore