Skip to content

SankoreAfrican research intelligence

Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

Anas Shehu · Sankore

Sokoto State University

Anas Shehu

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

3

Citations

1

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.

Affiliations

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

Sokoto State University1 works
Baze University1 works

Publications

3 works in the graph, newest first.

Assessment of Entrance Skin Dose for Adult Patients Undergoing Conventional X-Ray Examination in Sokoto Metropolis
2026Scholars Journal of Physics Mathematics and StatisticsJournalOpen accessFirst author1 citations10.36347/sjpms.2026.v13i01.001
Structural Evolution of Rare-Earth Terbium Oxide Thin Films as Influenced by Growth Parameters and Post-Deposition Annealing Treatment
2026Scholars Journal of Physics Mathematics and StatisticsJournalOpen accessSenior author0 citations10.36347/sjpms.2026.v13i01.002
DEVELOPMENT OF A FAULT DETECTION AND CLASSIFICATION SYSTEM IN MICROGRID USING ARTIFICIAL NEURAL NETWORKS
2026FUDMA Journal of SciencesJournalOpen accessFirst author0 citations10.33003/fjs-2026-1002-4100