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.

LEVERAGING ON CONTINUAL MACHINE LEARNING FOR REAL TIME TRADING IN FINANCIAL MARKETS

2024Computer ScienceJournalOpen access

10.53070/bbd.1575411 Full text0 citations

Authors

6 authors across 4 institutions in 2 countries.

Emmanuel N. OsegiFirst author
- National Open University of Nigeria (NG)
as printed: Emmanuel Ndidi Osegi
Vincent I.E. Anireh
- Rivers State University (NG)
as printed: Vincent Ike Anıreh
Ifeanyi. C Emeto
- Federal University of Technology Owerri (NG)
Noble. A Ibiobu
- Rivers State University (NG)
Osu Joshua Orove
Uchechukwu AgiSenior author
- Rivers State University (NG)

Fields

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

Stock Market Forecasting Methodslevel 3 · 1.00
Financial Markets and Investment Strategieslevel 3 · 0.99
Complex Systems and Time Series Analysislevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2024 · Computer Science · 0 citations
https://openalex.org/W4405720368

LEVERAGING ON CONTINUAL MACHINE LEARNING FOR REAL TIME TRADING IN FINANCIAL MARKETS · Sankore