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

Isemin A. Isemin · Peerford

University of Ibadan / Scholars

II

Isemin A. Isemin

University of Ibadan

Also at University of Uyofrom their recent papers

Publishing since 2015, latest 2026

Ocean Engineering
Biomedical Engineering
Computer Vision and Pattern Recognition
Industrial and Manufacturing Engineering
Mechanical Engineering

Their record on OpenAlex

Publications: 62015–2026
Citations: 15to those papers
h-index: 2i10-index 1
Field-weighted impact: 0.511.00 is the world average
World top 10%: 0%0 of 6 scored papers
Open access: 50%3 papers free to read

By year

Papers, and the citations to them

Publications, left axisCitations to that year’s papers, right axis2026 still in progress

Citations received each year

Career

On their papers

University of Uyo4 works
University of Ibadan4 works

Every institution they have given on a paper.

Publications

6 in all

Newest Most cited Oldest Title

Search their publications by title

Enhanced Prediction of Reservoir PVT Properties Using Stacking Ensemble Machine Learning Approach
2026Zenodo (CERN European Organization for Nuclear Research)JournalOpen accessFirst author0 citations10.5281/zenodo.20378656
Predicting Bubble Point Pressure and Gas-Oil Ratio PVT Properties Using Bagging Ensemble Techniques
2024

Download CV:PDF · Word

Who they write with Where their co-authors are Every publication

Is this you? Sign in to edit your profile

Peerford

To all their work, old papers included. Google Scholar also counts citations from theses, books and web pages, so its line runs higher.

What they work on

From the classification of each paper

Subfields

Ocean Engineering583%
Biomedical Engineering117%
Computer Vision and Pattern Recognition117%
Industrial and Manufacturing Engineering117%
Mechanical Engineering117%

Physical Sciences

Topics most written on

Oil and Gas Production Techniques4
Drilling and Well Engineering3
Reservoir Engineering and Simulation Methods3
Enhanced Oil Recovery Techniques1
Fluid Dynamics and Mixing1
Image Enhancement Techniques1
Industrial Vision Systems and Defect Detection1
Mineral Processing and Grinding1
Phase Equilibria and Thermodynamics1

Who they write with

Their most frequent co-authors, and the papers those co-authors share

Where their co-authors are

17% of their papers have a co-author abroad

papers co-written1111111Home

Most frequent partner countries

United States1

Papers with at least one author in that country.

Institutions written with most

University of UyoNG4 papers

Where they publish

SPE Nigeria Annual International Conference and Exhibition3
Journal of Engineering Research and Reports2
Zenodo (CERN European Organization for Nuclear Research)1

How it can be read

50% free to read

Development goals addressed

From each paper’s title and abstract

9Industry, innovation and infrastructure1
15Life on land1

Most cited

Cost Benefit Analysis of Vegetable Oils Used As Alternatives to Diesel in the Formulation of Oil-Based Drilling Muds
SPE Nigeria Annual International Conference and Exhibition9
201510 citations
Investigating the Use of Machine Learning Models for the Prediction of Pressure Gradient and Flow Regimes in Multiphase Flow in Horizontal Pipes
SPE Nigeria Annual International Conference and Exhibition
20212 citations
Utilization of Big Data Analytics and Advanced Formation Modelling for Detection of Kicks in Drilling Operations
SPE Nigeria Annual International Conference and Exhibition

Journal of Engineering Research and Reports

Journal

Open access

First author

0 citations

10.9734/jerr/2024/v26i121363

Investigating the Use of Machine Learning Models for the Prediction of Pressure Gradient and Flow Regimes in Multiphase Flow in Horizontal Pipes

2021SPE Nigeria Annual International Conference and ExhibitionPublicationFirst author2 citations10.2118/208410-ms

Support Vector Machine Model for Predicting Gas Saturated and Undersaturated Crude Oil Viscosity of Niger Delta Oil Reservoir

2021Journal of Engineering Research and ReportsJournalOpen accessFirst author1 citation10.9734/jerr/2021/v20i917375

Utilization of Big Data Analytics and Advanced Formation Modelling for Detection of Kicks in Drilling Operations

2019SPE Nigeria Annual International Conference and ExhibitionPublicationFirst author2 citations10.2118/198841-ms

Cost Benefit Analysis of Vegetable Oils Used As Alternatives to Diesel in the Formulation of Oil-Based Drilling Muds

2015SPE Nigeria Annual International Conference and ExhibitionPublication10 citations10.2118/178265-ms

Diamond

2 · 33%

Free to read and to publish

Green 1 · 17%A copy in a repository

Closed 3 · 50%Behind a paywall

2019

2 citations

Support Vector Machine Model for Predicting Gas Saturated and Undersaturated Crude Oil Viscosity of Niger Delta Oil Reservoir

Journal of Engineering Research and Reports

20211 citationOpen access · Diamond

Enhanced Prediction of Reservoir PVT Properties Using Stacking Ensemble Machine Learning Approach

Zenodo (CERN European Organization for Nuclear Research)

20260 citationsOpen access · Green