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.

On the Efficacy of ARFIMA, ARTFIMA, and MARFIMA Models in Forecasting Nigerian Crude Oil Prices

2025UMYU ScientificaJournalOpen access

10.56919/usci.2543.021 Full text0 citations

Authors

4 authors across 3 institutions in 1 country.

Musa Tasi’uFirst author
- Ahmadu Bello University (NG)
Abubakar Bello
- Gombe State University (NG)
Hussaini G. Dikko
- Ahmadu Bello University (NG)
as printed: Hussaini Dikko Garba
Baba Alhaji BukarSenior author
- Nigerian Defence Academy (NG)

Fields

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

Market Dynamics and Volatilitylevel 3 · 0.48
Stock Market Forecasting Methodslevel 3 · 0.18
Financial Risk and Volatility Modelinglevel 3 · 0.12

Sources

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

openalexseen September 9, 2026
2025 · UMYU Scientifica · 0 citations
https://openalex.org/W4416012610

On the Efficacy of ARFIMA, ARTFIMA, and MARFIMA Models in Forecasting Nigerian Crude Oil Prices · Sankore