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.

Comparative Analysis of Random Forest and Multilayer Perceptron Algorithms for Predicting Gross Domestic Product

2024Publication

10.1109/etncc63262.2024.10767565 Full text1 citations

Authors

6 authors across 3 institutions in 2 countries.

Ambrose AzetaFirst author
- Namibia University of Science and Technology (NA)
as printed: Ambrose A. Azeta
Muyideen Dele Adewale
- National Open University of Nigeria (NG)
as printed: Muyideen D. Adewale
Patrick O. Omote
- Crawford University (NG)
Funmi O. Onaolapo
- Crawford University (NG)
Idowo A. Bakare
- Crawford University (NG)
Steven TjirasoSenior author
- Namibia University of Science and Technology (NA)

Fields

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

Currency Recognition and Detectionlevel 3 · 0.25

Sources

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

openalexseen September 9, 2026
2024 · 1 citations
https://openalex.org/W4405718921

Comparative Analysis of Random Forest and Multilayer Perceptron Algorithms for Predicting Gross Domestic Product · Sankore