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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.

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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.

Optimizing Smart Contract Development: A Practical Model for Gasless Transactions via Facial Recognition in Blockchain

2022International Journal of Multidisciplinary Research and Growth EvaluationJournalOpen access

10.54660/.ijmrge.2022.3.1.978-989 Full text6 citations

Authors

6 authors across 4 institutions in 3 countries.

Bright Chibunna UbamaduFirst author
Damodar Bihani
Andrew Ifesinachi Daraojimba
Grace Omotunde Osho
- United Nations Children's Fund Niger (NE)
Julius Olatunde Omisola
- Federal University of Petroleum Resource Effurun (NG)
Emmanuel Augustine EtukudohSenior author

Fields

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

Blockchain Technology Applications and Securitylevel 3 · 0.96
Impact of AI and Big Data on Business and Societylevel 3 · 0.95
FinTech, Crowdfunding, Digital Financelevel 3 · 0.94

Sources

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

openalexseen September 9, 2026
2022 · International Journal of Multidisciplinary Research and Growth Evaluation · 6 citations
https://openalex.org/W4409767124

Optimizing Smart Contract Development: A Practical Model for Gasless Transactions via Facial Recognition in Blockchain · Sankore