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.

Natural Gas Spot Price Prediction Using a Machine Learning Datacentric Approach

2022SPE Nigeria Annual International Conference and ExhibitionPublication

10.2118/211979-ms Full text2 citations

Authors

5 authors across 2 institutions in 2 countries.

Jessica OgwuFirst author
Emmanuel Ikpesu
- University of Science and Technology of Benin (BJ)
Ogbonna, KingsleySenior author
- University of Lagos (NG)
as printed: Kingsley Ogbonna
Kingsley OgbonnaSenior author
- University of Lagos (NG)
Kingsley OgbonnaSenior author
- University of Lagos (NG)

Fields

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

Energy Load and Power Forecastinglevel 3 · 1.00
Market Dynamics and Volatilitylevel 3 · 1.00
Petroleum Processing and Analysislevel 3 · 0.98

Sources

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

openalexseen September 24, 2026
2022 · SPE Nigeria Annual International Conference and Exhibition · 2 citations
https://openalex.org/W4289100725

Natural Gas Spot Price Prediction Using a Machine Learning Datacentric Approach · Sankore