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.

Heterogeneous Distributed Ensemble Feature Selection: An Enhancement Approach to Machine Learning for Phishing Detection

2025Nigerian Journal of Basic and Applied SciencesJournalOpen access

10.4314/njbas.v32i1.4 Full text0 citations

Authors

5 authors across 4 institutions in 1 country.

Bamidele Musiliu OlukoyaFirst author
- Federal University Oye Ekiti (NG)
as printed: B.M. Olukoya
G.O. Ogunleye
- Afe Babalola University (NG)
Patrick Olabisi
- Olabisi Onabanjo University (NG)
as printed: P.O. Olabisi
Ayobami Taiwo Olusesi
- Bells University of Technology (NG)
as printed: A.T. Olusesi
Adekunle A. OsobukolaSenior author
- Afe Babalola University (NG)
as printed: A.A. Osobukola

Fields

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

Spam and Phishing Detectionlevel 3 · 1.00
Text and Document Classification Technologieslevel 3 · 0.98
Network Security and Intrusion Detectionlevel 3 · 0.92

Sources

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

openalexseen September 9, 2026
2025 · Nigerian Journal of Basic and Applied Sciences · 0 citations
https://openalex.org/W4409444660

Heterogeneous Distributed Ensemble Feature Selection: An Enhancement Approach to Machine Learning for Phishing Detection · Sankore