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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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OpenAlex — works, authorships, subject classification
ROR — institutional identity
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.

FAROUK LAWAN GAMBO · Sankore

Federal College of Education, Kano

FAROUK LAWAN GAMBO

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

5

Citations

6

h-index

2

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.

Federal University Dutse3 works
Federal College of Education, Kano1 works
Federal University Lafia1 works

Publications

5 works in the graph, newest first.

An Enhanced Lightweight IoT-Based Pipeline Leak Detection Model
2026PublicationOpen accessCorresponding0 citations10.3390/engproc2026124108
DEVELOPMENT AND EVALUATION OF MACHINE LEARNING MODEL FOR LOAN DEFAULT RISK ASSESSMENT
2025International Journal of Nature and Science Advance ResearchJournalOpen access3 citations10.70382/mejnsar.v9i9.056
Improving intrusion detection system accuracy using deep neural network
2024Dutse Journal of Pure and Applied SciencesJournalOpen access0 citations10.4314/dujopas.v10i2c.7
Learning Style Classification: An Efficient Modeling of DNN-PCA with Facial Expressions
2024PublicationFirst author0 citations10.1109/ic3tes62412.2024.10877665
Advances, Challenges and Opportunities in Deep Learning Approach for Object Detection: A Review

2023PublicationFirst author3 citations10.1109/icmeas58693.2023.10379299