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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.

Fatima Abdullahi Muhammad · Sankore

Bayero University Kano

Fatima Abdullahi Muhammad

ORCID, self-asserted

ORCID 0000-0002-0963-6043

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

Publications

4

Citations

25

h-index

2

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

i10-index

1

Works published 2022 onward have been swept for this country. Figures are complete within that window, to the extent the open indexes are.

Publications

4 works in the graph, newest first.

Morphology classification of malaria infected red blood cells using deep learning techniques
2024Biomedical Signal Processing and ControlJournalFirst authorCorresponding20 citations10.1016/j.bspc.2024.106869
Classification of Red Blood Cell Abnormality in Thin Blood Smear Images using Convolutional Neural Networks
2023Journal of Physics Conference SeriesPublicationOpen accessFirst authorCorresponding5 citations10.1088/1742-6596/2622/1/012011
COMPARISON OF DEEP LEARNING ALEXNET AND SUPPORT VECTOR MACHINE TO CLASSIFY SEVERITY OF SICKLE CELL ANEMIA
2022BIMA JOURNAL OF SCIENCE AND TECHNOLOGY (2536-6041)JournalOpen accessSenior author0 citations10.56892/bimajst.v6i02.370
COMPARISON OF DEEP LEARNING ALEXNET AND SUPPORT VECTOR MACHINE TO CLASSIFY SEVERITY OF SICKLE CELL ANEMIA
2022BIMA JOURNAL OF SCIENCE AND TECHNOLOGY GOMBEJournalOpen accessSenior author0 citations10.64290/bima.v6i02.375