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.

Comparing Artificial Neural Network and Random Forest Technique for Detecting Flood Magnitude

2025Journal of Artificial Intelligence and Autonomous IntelligenceJournalOpen access

10.54364/jaiai.2024.1112 Full text0 citations

Authors

5 authors.

Gift AdeneFirst author
as printed: Adene Gift
Adannaya Uneke Gift-Adene
Ngele Cletus Ezeoke
Pius Ekwo Kekong
Stanley ZiweritinSenior author
- The Federal Polytechnic, Ado-Ekiti (NG)

Fields

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

Hydrological Forecasting Using AIlevel 3 · 0.98
Flood Risk Assessment and Managementlevel 3 · 0.98

Sources

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

openalexseen September 9, 2026
2025 · Journal of Artificial Intelligence and Autonomous Intelligence · 0 citations
https://openalex.org/W4411044475

Comparing Artificial Neural Network and Random Forest Technique for Detecting Flood Magnitude · Sankore