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.

Development of a Model for Prediction of IoT Processor Power Utilization Using Instruction Dissection-Based Technique

2024IEEE AccessJournalOpen access

10.1109/access.2024.3491632 Full text1 citations

Authors

5 authors across 3 institutions in 2 countries.

P.Y. DibalFirst author
- University of Maiduguri (NG)
as printed: Dibal P. Yusuf
Hashim Elshafie
as printed: Hashim E. Ahmed
Elizabeth Nonye Onwuka
- Federal University of Technology Minna (NG)
as printed: Elizabeth N. Onwuka
Zubair SuleimanSenior author
- Federal University of Technology Minna (NG)
Zubair SuleimanSenior author
- Federal University of Technology Minna (NG)

Fields

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

Engineering Applied Researchlevel 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
2024 · IEEE Access · 1 citations
https://openalex.org/W4404035456

Development of a Model for Prediction of IoT Processor Power Utilization Using Instruction Dissection-Based Technique · Sankore