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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.

Suleiman A. Haruna · Sankore

Suleiman A. Haruna

ORCID, self-asserted

ORCID 0000-0002-8695-5443

This profile carries an ORCID the researcher published on their own record — the strongest evidence available short of a human confirming it.

Publications

19

Citations

417

h-index

13

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

i10-index

14

Publications

6 works in the graph, newest first.

Multicomponent prediction of Sudan dye adulteration in crude palm oil using SERS – Based bimetallic nanoflower combined with genetic algorithm
2023Journal of Food Composition and AnalysisJournal23 citations10.1016/j.jfca.2023.105768
Rapid quantitative analysis of acetamiprid residue in crude palm oil using SERS coupled with random frog (RF) algorithm
2023Journal of Food Composition and AnalysisJournalOpen access23 citations10.1016/j.jfca.2023.105818
Quantitative SERS detection of aflatoxin B1 in edible crude palm oil using QuEChERS combined with chemometrics
2023Journal of Food Composition and AnalysisJournal23 citations10.1016/j.jfca.2023.105841
Quantitative assessment of phytochemicals in chickpea beverages using NIR spectroscopy
2023Spectrochimica Acta Part A Molecular and Biomolecular SpectroscopyJournal16 citations10.1016/j.saa.2023.123623
Fraud detection in crude palm oil using SERS combined with chemometrics
2022Food ChemistryJournal44 citations10.1016/j.foodchem.2022.132973
SERS-based sensor coupled with multivariate models for rapid detection of palm oil adulteration with Sudan II and IV dyes
2022Journal of Food Composition and AnalysisJournal30 citations10.1016/j.jfca.2022.104834