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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
Crossref — publisher confirmation

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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.

Hamza Sabo Maccido · Sankore

Baze University

Hamza Sabo Maccido

ORCID, self-asserted

ORCID 0000-0003-2220-1260

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

39

h-index

1

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

i10-index

1

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.

An Empirical Comparison of Machine Learning Algorithms for Breast Cancer Detection
2025International Journal of Emerging Multidisciplinaries Computer Science & Artificial IntelligenceJournalOpen accessFirst authorCorresponding0 citations10.54938/ijemdcsai.2025.04.1.475
Comparative Analysis of Linear and Non-Linear Feature Selection for Breast Cancer Detection with SHAP Analysis
2025AUIQ technical engineering science.JournalOpen accessFirst authorCorresponding0 citations10.70645/3078-3437.1036
Beyond the Grid: How Incentive Policies Can Bridge the Electricity Access Gap in Rural Nigeria
2025Techno-computing JournalJournalOpen accessFirst author0 citations10.71170/tecoj.2025.1.2.pp18-25
Non-linear feature selection and stacked ensemble learning for breast cancer diagnosis: A fusion of statistical and neural classifiers
2025Journal of Statistical Sciences and Computational IntelligenceJournalOpen accessFirst authorCorresponding0 citations10.64497/jssci.21
Multi-Regional Modeling of Cumulative COVID-19 Cases Integrated with Environmental Forest Knowledge Estimation: A Deep Learning Ensemble Approach
2022International Journal of Environmental Research and Public HealthJournalOpen access39 citations10.3390/ijerph19020738