Skip to content

SankoreAfrican research intelligence

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.

Anomaly detection in heterogeneous cybersecurity data

2025Franklin OpenJournalOpen access

10.1016/j.fraope.2025.100426 Full text4 citations

Authors

5 authors.

Stanley Adiele OkolieFirst author
- Federal University of Technology Owerri (NG)
as printed: S.A. Okolie
C.A. AmadiCorresponding
- Federal University of Technology Owerri (NG)
J.N. Odii
- Federal University of Technology Owerri (NG)
E.C. Nwokorie
- Federal University of Technology Owerri (NG)
U․C OnyemaucheSenior author
- Federal University of Technology Owerri (NG)

Fields

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

Anomaly Detection Techniques and Applicationslevel 3 · 0.45
Network Security and Intrusion Detectionlevel 3 · 0.38
Software System Performance and Reliabilitylevel 3 · 0.04

Sources

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

openalexseen September 9, 2026
2025 · Franklin Open · 4 citations
https://openalex.org/W4416420660

Anomaly detection in heterogeneous cybersecurity data · Sankore