Skip to content

PeerfordResearch intelligence

Countries
Institutions
Researchers
Fields
Rankings
Compare
Commons

Search institutions, scholars, countries and publications

Countries
Institutions
Researchers
Fields
Rankings
Compare

CommonsWhere researchers talk about their work

Search institutions, scholars, countries and publications

Every figure here is counted by Peerford from the works themselves, the same way for every institution.

Browse

Countries
Institutions
Researchers
Fields
Rankings
Commons, for researchers

About

How Peerford counts
Compare institutions
Privacy
Terms of use

Contact

hello@peerford.com
https://wa.me/peerford · WhatsApp

Language

English
FrançaisFrench
PortuguêsPortuguese
العربيةArabic

Theme

SystemLightDark

Aderemi S. Bankole · Peerford

University of Ibadan / Scholars

AB

Aderemi S. Bankole

University of Ibadan

Publishing since 2026

Mechanical Engineering
Mechanics of Materials
Nuclear and High Energy Physics

Their record on OpenAlex
Download CV:PDF Word
Who they write with Where their co-authors are Every publication
Is this you? Sign in to edit your profile

Publications: 12026
Citations: 0to those papers
h-index: 0i10-index 0
Field-weighted impact: 0.001.00 is the world average
World top 10%: 0%0 of 1 scored papers
Open access: 100%1 papers free to read

What they work on

From the classification of each paper

Subfields

Mechanical Engineering1100%
Mechanics of Materials1100%
Nuclear and High Energy Physics1100%

Physical Sciences

Topics most written on

Hydraulic Fracturing and Reservoir Analysis1
Hydrocarbon exploration and reservoir analysis1
NMR spectroscopy and applications

Publications

1 in all

Prediction of Formation Porosity from Well Log Data using Selected Machine Learning Algorithms
2026Current Journal of Applied Science and TechnologyJournalOpen access0 citations10.9734/cjast/2026/v45i54694

1

Where they publish

Current Journal of Applied Science and Technology1

How it can be read

100% free to read

Diamond 1 · 100%Free to read and to publish

Most cited

Prediction of Formation Porosity from Well Log Data using Selected Machine Learning Algorithms
Current Journal of Applied Science and Technology
20260 citationsOpen access · Diamond