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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
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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.

I.I. Obiadi · Sankore

Nnamdi Azikiwe University

I.I. Obiadi

ORCID, self-asserted

ORCID 0000-0002-7571-1101

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

Publications

7

Citations

12

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.

Publications

7 works in the graph, newest first.

Groundwater potential assessment in parts of Nnewi Industrial Zone: Implications for sustainable development and conservation
2024Cleaner WaterJournalOpen accessFirst authorCorresponding2 citations10.1016/j.clwat.2024.100014
Characterization of aquifer vulnerability in parts of the western Niger Delta
2024Arabian Journal of GeosciencesJournal3 citations10.1007/s12517-024-11867-x
Lithological and Structural Characterization of parts of the Lower Benue Trough, Southeast Nigeria, Using Radiometric and Aeromagnetic Data
2024Asian Journal of Earth SciencesJournalOpen access0 citations10.3923/ajes.2024.01.14
Vulnerability studies of aquifer potential within Auchi Polytechnic Campuses
2022Arabian Journal of GeosciencesJournal4 citations10.1007/s12517-022-10824-w
Aquifer potentials and vulnerability studies in Northern parts of Anambra State, SE Nigeria
2022Sustainable Water Resources ManagementJournalFirst authorCorresponding2 citations10.1007/s40899-022-00768-0
Using inverted 4-D seismic and well data to characterise reservoirs from central swamp oil field, Niger Delta
2022World Journal of Advanced Research and ReviewsJournalOpen access1 citations10.30574/wjarr.2022.13.2.0083
Using inverted 4-D seismic and well data to characterise reservoirs from central swamp oil field, Niger Delta
2022Zenodo (CERN European Organization for Nuclear Research)JournalOpen access0 citations10.5281/zenodo.6348940