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.

A comparative study of classical, bagging, and hybrid methods for optimizing loan default prediction

2026Computer Science and Information TechnologiesJournalOpen access

10.11591/csit.v7i2.p179-195 Full text0 citations

Authors

5 authors across 5 institutions in 3 countries.

Akuji, Ismail IdowuFirst author
as printed: Ismail Idowu Akuji
Ahmed Babajide Olanrewaju
- University of Ibadan (NG)
Taofik Abiodun Ahmed
Ayodeji Jubril Alabi
- Kwara State University (NG)
Idris Babatunde AdeyemiSenior author
- University of Ilorin (NG)

Fields

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

Financial Distress and Bankruptcy Predictionlevel 3 · 0.97
Imbalanced Data Classification Techniqueslevel 3 · 0.01
Stock Market Forecasting Methodslevel 3 · 0.01

Sources

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

openalexseen September 9, 2026
2026 · Computer Science and Information Technologies · 0 citations
https://openalex.org/W7165357162

A comparative study of classical, bagging, and hybrid methods for optimizing loan default prediction · Sankore