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.

Performance Of Deep Learning Model For Prediction Of Cryptocurrency Adoption In Nigeria

2025IJIREEICEJournalOpen access

10.17148/ijireeice.2025.131022 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

Sulaiman Umar S. nomaFirst author
- Kebbi State Polytechnic (NG)
- Abdullahi Fodio University of Science and Technology (NG)
as printed: Sulaiman Umar S. Noma
Sulemana Puzeim Alhassan
- Kebbi State Polytechnic (NG)
- Abdullahi Fodio University of Science and Technology (NG)
as printed: Salihu Alhassan
Muhammad Idris
- Kebbi State Polytechnic (NG)
- Abdullahi Fodio University of Science and Technology (NG)
as printed: Sadiq Abubakar Zagga
S. M. Saniul Islam SaniSenior author
- Kebbi State Polytechnic (NG)
- Abdullahi Fodio University of Science and Technology (NG)
as printed: Shamsu Sani

Fields

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

Impact of AI and Big Data on Business and Societylevel 3 · 0.78
Varied Academic Research Topicslevel 3 · 0.72
Blockchain Technology Applications and Securitylevel 3 · 0.70

Sources

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

openalexseen September 9, 2026
2025 · IJIREEICE · 0 citations
https://openalex.org/W4415433667

Performance Of Deep Learning Model For Prediction Of Cryptocurrency Adoption In Nigeria · Sankore