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.

Mn-doped covalent organic framework (COF), graphene, and their nanocomposite (Mn@GP/COF) as sensors for oil-dissolved gases in transformer: A computational study

2024Materials Today CommunicationsJournal

10.1016/j.mtcomm.2024.108363 Full text15 citations

Authors

7 authors across 3 institutions in 3 countries.

Ismail O. AmoduFirst authorCorresponding
- University of Calabar (NG)
Monsurat Raimi
- University of Calabar (NG)
Miracle N. Ogbogu
- University of Calabar (NG)
Innocent Benjamin
- University of Calabar (NG)
Alpha O. Gulack
- University of Calabar (NG)
Adedapo S. Adeyinka
- University of Johannesburg (ZA)
Hitler LouisSenior authorCorresponding
- University of Calabar (NG)

Fields

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

Gas Sensing Nanomaterials and Sensorslevel 3 · 1.00
Covalent Organic Framework Applicationslevel 3 · 1.00
Catalytic Processes in Materials Sciencelevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2024 · Materials Today Communications · 15 citations
https://openalex.org/W4391751567

Mn-doped covalent organic framework (COF), graphene, and their nanocomposite (Mn@GP/COF) as sensors for oil-dissolved gases in transformer: A computational study · Sankore