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.

Carbon Capture Using Metal Organic Frameworks (MOFs): Novel Custom Ensemble Learning Models for Prediction of CO2 Adsorption

2025ProcessesJournalOpen access

10.3390/pr13072199 Full text8 citations

Authors

5 authors across 3 institutions in 2 countries.

Zainab IyiolaFirst authorCorresponding
Eric Thompson Brantson
- University of Mines and Technology (GH)
Nneoma Juanita Okeke
- University of Mines and Technology (GH)
Kayode Sanni
Promise LongeSenior authorCorresponding

Fields

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

Metal-Organic Frameworks: Synthesis and Applicationslevel 3 · 1.00
Machine Learning in Materials Sciencelevel 3 · 1.00
Carbon Dioxide Capture Technologieslevel 3 · 0.99

Sources

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

openalexseen September 5, 2026
2025 · Processes · 8 citations
https://openalex.org/W4412149816

Carbon Capture Using Metal Organic Frameworks (MOFs): Novel Custom Ensemble Learning Models for Prediction of CO2 Adsorption · Sankore