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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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ORCID — researcher identity
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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.

Nazifi Aliyu · Sankore

National Postgraduate Medical College of Nigeria

Nazifi Aliyu

ORCID, self-asserted

ORCID 0009-0002-9166-1682

This profile carries an ORCID the researcher published on their own record — the strongest evidence available short of a human confirming it.

Publications

5

Citations

47

h-index

3

Computed over the works the graph holds, so it is a floor rather than a career figure.

i10-index

2

Works published 2022 onward have been swept for this country. Figures are complete within that window, to the extent the open indexes are.

Publications

5 works in the graph, newest first.

Hybrid modelling of ruble exchange rates amidst the Russo-Ukrainian conflict using swarm and fuzzy neural networks
2025Engineering Applications of Artificial IntelligenceJournal3 citations10.1016/j.engappai.2025.110854
Gaussian random fuzzy and nature-inspired neural networks: a novel approach to Brent oil price prediction
2025Neural Computing and ApplicationsJournalOpen accessCorresponding1 citations10.1007/s00521-025-11306-2
Ruble resilience or euro dominance? The impact of the Russo-Ukrainian war on the euro-ruble exchange rate
2025Journal of Policy ModelingJournalSenior author0 citations10.1016/j.jpolmod.2025.06.020
Predicting Consumer Price Index amidst uncertainty: Gaussian Random Fuzzy Number-based Evidential Neural Network for West African economies with COVID-19 and Russia–Ukraine war dynamics
2024Engineering Applications of Artificial IntelligenceJournal10 citations10.1016/j.engappai.2024.109004
Incorporating Russo-Ukrainian war in Brent crude oil price forecasting: A comparative analysis of ARIMA, TARMA and ENNReg models
2023HeliyonJournalOpen accessSenior authorCorresponding33 citations10.1016/j.heliyon.2023.e21439