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.

On the Relative Impact of Optimizers on Convolutional Neural Networks with Varying Depth and Width for Image Classification

2022Applied SciencesJournalOpen access

10.3390/app122311976 Full text31 citations

Authors

3 authors across 3 institutions in 2 countries.

Eustace M. DogoFirst authorCorresponding
- Federal University of Technology Minna (NG)
Oluwatobi J. Afolabi
- University of Johannesburg (ZA)
B TwalaSenior author
- Tshwane University of Technology (ZA)
as printed: Bhekisipho Twala

Fields

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

Advanced Neural Network Applicationslevel 3 · 1.00
Machine Learning and ELMlevel 3 · 1.00
Machine Learning and Data Classificationlevel 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
2022 · Applied Sciences · 31 citations
https://openalex.org/W4310295782

On the Relative Impact of Optimizers on Convolutional Neural Networks with Varying Depth and Width for Image Classification · Sankore