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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.

T. E. Abioye(Ogunbiyi · Sankore

Bells University of Technology

T. E. Abioye(Ogunbiyi

ORCID, self-asserted

ORCID 0000-0002-3373-396X

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

1

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.

Bells University of Technology4 works
University of Lagos1 works

Publications

5 works in the graph, newest first.

Ontology-based medical diagnosis systems: state-of-the-art and future research directions
2026SN Computer ScienceJournal0 citations10.1007/s42979-026-05158-3
A Framework for Assessing the Security Risk of Requirements
2025Book Chapter0 citations10.4018/979-8-3693-9137-2.ch013
Mining Export Trade Datasets of a Developing Economy Using K-Means and Fuzzy C-Means Clustering
2025Zenodo (CERN European Organization for Nuclear Research)PublicationOpen access0 citations10.5281/zenodo.17780236
Mining Export Trade Datasets of a Developing Economy Using K-Means and Fuzzy C-Means Clustering
2025Zenodo (CERN European Organization for Nuclear Research)PublicationOpen access0 citations10.5281/zenodo.17780235
Opinion mining analytics of IoT ecosystem by Profile of Mood State with Logistic Regression

2022Publication1 citations10.1109/ited56637.2022.10051519