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SankoreAfrican research intelligence

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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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OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

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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.

Oga Ode · Sankore

Federal Ministry of Health

Oga Ode

ORCID, self-asserted

ORCID 0009-0001-3160-526X

This profile carries an ORCID the researcher published on their own record — the strongest evidence available short of a human confirming it. 1 other profile was folded into this one.

Publications

4

Citations

2

h-index

1

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

i10-index

0

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

Affiliations

Every institution this scholar has appeared with on a work, by how many.

Federal Ministry of Health2 works
Federal University Otuoke1 works

Publications

4 works in the graph, newest first.

Statistical Inference for a Novel Farlie-Gumbel-Morgenstern Copula-Based Bivariate Odd Rayleigh-Exponential Distribution
2026Journal of Modern Applied Statistical MethodsJournalOpen accessFirst author0 citations10.53941/jmasm.2026.100003
Seroprevalence of Lassa Virus Infection and Associated Risk Factors in North-Central Nigeria: A Community-Based Multi-State Study
2026TNHJPHJournalOpen access0 citations10.71637/tnhj.v26i1.1390
A novel odd Rayleigh-exponential distribution (OR-ED) and its application to lifetime datasets
2025Journal of Statistical Sciences and Computational IntelligenceJournalOpen accessFirst author2 citations10.64497/jssci.91
Binary Logistic Regression Modeling for Characterisation of Hypertension and Some Non-Hereditary Risk Factors
2025UMYU ScientificaJournalOpen access0 citations10.56919/usci.2541.038