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.

Comparison of Conventional Modeling Techniques with the Neural Network Autoregressive Model (NNAR): Application to COVID-19 Data

2022Journal of Healthcare EngineeringJournalOpen access

10.1155/2022/4802743 Full text28 citations

Authors

4 authors across 5 institutions in 2 countries.

Muhammad DaniyalFirst author
Kassim TawiahCorresponding
- Kwame Nkrumah University of Science and Technology (GH)
- University of Energy and Natural Resources (GH)
Sara Muhammadullah
Kwaku Opoku-AmeyawSenior author
- University of Energy and Natural Resources (GH)

Fields

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

COVID-19 epidemiological studieslevel 3 · 1.00
COVID-19 Pandemic Impactslevel 3 · 0.99
COVID-19 diagnosis using AIlevel 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
2022 · Journal of Healthcare Engineering · 28 citations
https://openalex.org/W4282936632

Comparison of Conventional Modeling Techniques with the Neural Network Autoregressive Model (NNAR): Application to COVID-19 Data · Sankore