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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.

Charles U. Akajiaku · Sankore

University of Port Harcourt

Charles U. Akajiaku

Name matching only

This profile was assembled from author names on publications. Open indexes routinely split one researcher across several such profiles, so these totals may be incomplete. 1 other profile was folded into this one.

Publications

5

Citations

51

h-index

5

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.

Affiliations

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

University of Port Harcourt5 works
Rivers State University1 works

Publications

5 works in the graph, newest first.

A hybrid AI model integrating LSTM, XGBoost, and K-means for interpretable prediction and clustering of water quality in data-scarce regions
2026Discover Civil EngineeringJournalOpen access8 citations10.1007/s44290-026-00417-x
Assessing the impact of climate change on flood patterns in downstream Nigeria using machine learning and geospatial techniques (2018–2024)
2025Discover GeoscienceJournalOpen accessCorresponding18 citations10.1007/s44288-025-00178-7
Using Machine Learning and GIS to Monitor Sandbars Along the River Niger in the Niger Delta, Nigeria
2025International Journal of Environment and Climate ChangeJournalOpen access13 citations10.9734/ijecc/2025/v15i24721
Predictive Modeling of Iron Concentration in Groundwater Using Machine Learning Techniques: A Case Study in Part of Yenagoa, Bayelsa State
2025Journal of Computational Systems and ApplicationsJournalOpen accessFirst author6 citations10.63623/ngc6ah56

Machine learning-based shoreline change prediction and erosion analysis: a case study of Ogu/Bolo, Nigeria

2025Discover Civil EngineeringJournalOpen accessSenior author6 citations10.1007/s44290-025-00396-5