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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.

M. Sunday Olayemi · Sankore

Kogi State University

M. Sunday Olayemi

ORCID, self-asserted

ORCID 0000-0002-1502-7906

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

4

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.

Kogi State Polytechnic3 works
Salem University2 works
Kogi State University1 works

Publications

5 works in the graph, newest first.

The relationship between energy and development in developing countries: A statistical perspective on volatility dynamics
2025Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü DergisiJournalOpen accessFirst author0 citations10.17714/gumusfenbil.1753096
APPLICATION OF GENERALIZED EXTREME VALUE DISTRIBUTION TO ANNUAL MAXIMUM RAINFALL
2024FUDMA Journal of SciencesJournalOpen accessSenior author4 citations10.33003/fjs-2024-0802-2268
Modification of a new probability distribution with Applications to Real life datasets
2024Publication0 citations10.1109/seb4sdg60871.2024.10629851
Theoretical Properties of the Lindley Exponentiated Gumbel Distribution
2024African Journal of Mathematics and Statistics StudiesJournalOpen accessSenior author0 citations10.52589/ajmss-ox1nynrh

The Use of Standardized Exponentiated Gumbel Error Innovation Distribution to Forecast Volatility: A Comparative Study

2023Journal of Statistical Modelling and AnalyticsJournalOpen accessFirst authorCorresponding0 citations10.22452/josma.vol5no2.3