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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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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.

Monsuru Akinleye · Sankore

Adeleke University

Monsuru Akinleye

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.

Publications

6

Citations

3

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.

Publications

6 works in the graph, newest first.

Multi-objective optimization of biomass filler-based asphalt mix manufacturing using response surface methodology
2026Discover Applied SciencesJournalOpen access0 citations10.1007/s42452-026-08425-3
Mechanical properties of concrete reinforced with Elaeis Guineensis midrib fibres
2026Scientific ReportsJournalOpen access0 citations10.1038/s41598-026-58395-0
Valorizing waste materials as biomass fillers in the production of asphalt mixtures
2025World Journal of EngineeringJournalOpen accessFirst author1 citations10.1108/wje-12-2024-0672
Exploring the Suitability of Bambusa Vulgaris Leaf Ash as a Biomass Filler in Asphalt Mixtures
2025International Journal of Pavement Research and TechnologyJournalFirst author2 citations10.1007/s42947-025-00540-5
Sound absorption capacity of hot and warm asphaltic mixes modified with waste plastic bottles
2025IOP Conference Series Earth and Environmental SciencePublicationOpen accessFirst author0 citations10.1088/1755-1315/1492/1/012028
Modelling absorbed gamma radiation dose rate from 226Ra, 232Th, and 40K of recycled waste materials: analytical and machine learning approaches
2025IOP Conference Series Earth and Environmental SciencePublicationOpen access0 citations10.1088/1755-1315/1492/1/012037