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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.

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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.

An Improved Model for Deep Dive Phishing Detection

2025Lecture notes in networks and systemsPublication

10.1007/978-981-96-9245-3_7 Full text0 citations

Authors

7 authors across 3 institutions in 2 countries.

John TighilFirst author
- Kaduna Polytechnic (NG)
Philip AchimuguCorresponding
- Kaduna Polytechnic (NG)
Fatimah Adamu-Fika
- Kaduna Polytechnic (NG)
Oluwatolani Achimugu
- Kaduna Polytechnic (NG)
Tolulope Olufemi
- Lead City University (NG)
as printed: Tolulope Olushola Olufemi
Theophilus Aniemeka Enem
- Kaduna Polytechnic (NG)
Suleiman Abu UsmanSenior author
- Kaduna Polytechnic (NG)

Fields

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

Spam and Phishing Detectionlevel 3 · 0.96
Misinformation and Its Impactslevel 3 · 0.02
Cybercrime and Law Enforcement Studieslevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2025 · Lecture notes in networks and systems · 0 citations
https://openalex.org/W4416306877

An Improved Model for Deep Dive Phishing Detection · Sankore