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.

Eric Teye Mensah · Sankore

Kwame Nkrumah University of Science and Technology

Eric Teye Mensah

ORCID, self-asserted

ORCID 0000-0002-2526-637X

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

32

h-index

3

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

i10-index

2

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.

Parameter Estimation of Ornstein-Uhlenbeck Process Using Resampling Estimation Techniques: A Simulation Study
2024Lecture notes in networks and systemsPublication0 citations10.1007/978-3-031-73324-6_55
Impact of Risk Management on the Performance of Commercial Banks in Ghana: A Panel Regression Approach
2023Journal of risk and financial managementJournalOpen access16 citations10.3390/jrfm16070322
Simulating stock prices using geometric Brownian motion model under normal and convoluted distributional assumptions
2023Scientific AfricanJournalOpen accessFirst authorCorresponding10 citations10.1016/j.sciaf.2023.e01556
A comparative study of error distributions in the GARCH model through a Monte Carlo simulation approach
2023Scientific AfricanJournalOpen access6 citations10.1016/j.sciaf.2023.e01988