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Mathew Akwu Adaji · Peerford

University of Nigeria / Scholars

MA

Mathew Akwu Adaji

University of Nigeria

Publishing since 2024, latest 2025

Computer Networks and Communications
Information Systems
Artificial Intelligence
Computer Vision and Pattern Recognition

Their record on OpenAlex
Download CV:PDF Word
Who they write with Where their co-authors are Every publication
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Publications: 52024–2025
Citations: 1to those papers
h-index: 1i10-index 0
Field-weighted impact: 0.021.00 is the world average
World top 10%: 0%0 of 5 scored papers
Open access: 60%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

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

Computer Networks and Communications480%
Information Systems360%

Publications

5 in all

Newest Most cited Oldest Title

Search their publications by title

EVALUATING THE SUITABILITY OF DATA MODELS FOR AI-DRIVEN SYSTEMS: A REVIEW OF CURRENT TRENDS AND ARCHITECTURES
2025Open Journal of Physical Science (ISSN 2734-2123)JournalOpen access0 citations10.52417/ojps.v6i2.914
A REVIEW ON OBJECT-ORIENTED, OBJECT-RELATIONAL, RELATIONAL, AND NOSQL DATABASES: EVOLUTION, INTEGRATION, AND PERFORMANCE TRADE-OFFS

Artificial Intelligence120%

Computer Vision and Pattern Recognition120%

Physical Sciences

Topics most written on

Advanced Database Systems and Queries2
Big Data and Digital Economy2
Cloud Computing and Resource Management2
Network Security and Intrusion Detection2
Advanced Graph Neural Networks1
Distributed systems and fault tolerance1
Graph Theory and Algorithms1

Who they write with

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

Where their co-authors are

0% of their papers have a co-author abroad

Most frequent partner countries

Papers with at least one author in that country.

Institutions written with most

Taraba State UniversityNG3 papers
Kwararafa UniversityNG2 papers
Federal Polytechnic OhodoNG2 papers
The Federal Polytechnic, Ado-EkitiNG2 papers
Federal University Dutsin-MaNG1 paper

Where they publish

Open Journal of Physical Science (ISSN 2734-2123)3

How it can be read

60% free to read

Diamond 3 · 60%Free to read and to publish
Closed 2 · 40%Behind a paywall

Development goals addressed

From each paper’s title and abstract

5Gender equality1
13Climate action1

Most cited

Effectiveness of Machine Learning Algorithms in Threat Detection and Mitigation in Cyberspace: A Systematic Review
13
20241 citation
EVALUATING THE SUITABILITY OF DATA MODELS FOR AI-DRIVEN SYSTEMS: A REVIEW OF CURRENT TRENDS AND ARCHITECTURES
Open Journal of Physical Science (ISSN 2734-2123)
20250 citationsOpen access · Diamond
A REVIEW ON OBJECT-ORIENTED, OBJECT-RELATIONAL, RELATIONAL, AND NOSQL DATABASES: EVOLUTION, INTEGRATION, AND PERFORMANCE TRADE-OFFS
Open Journal of Physical Science (ISSN 2734-2123)
20250 citationsOpen access · Diamond
A SYSTEMATIC REVIEW OF CONCURRENCY CONTROL AND RECOVERY MECHANISMS IN DISTRIBUTED DATABASE SYSTEMS: TRENDS, TECHNIQUES, AND PERFORMANCE MODELLING
Open Journal of Physical Science (ISSN 2734-2123)
20250 citationsOpen access · Diamond
An Intelligent Intrusion Detection Model for Prevention of Attacks on Social Media Network Platform
5
20240 citations

2025

Open Journal of Physical Science (ISSN 2734-2123)

Journal

Open access

0 citations

10.52417/ojps.v6i2.1039

A SYSTEMATIC REVIEW OF CONCURRENCY CONTROL AND RECOVERY MECHANISMS IN DISTRIBUTED DATABASE SYSTEMS: TRENDS, TECHNIQUES, AND PERFORMANCE MODELLING

2025Open Journal of Physical Science (ISSN 2734-2123)JournalOpen access0 citations10.52417/ojps.v6i2.1050

Effectiveness of Machine Learning Algorithms in Threat Detection and Mitigation in Cyberspace: A Systematic Review

2024JournalFirst author1 citation10.1109/nigercon62786.2024.10927069

An Intelligent Intrusion Detection Model for Prevention of Attacks on Social Media Network Platform

2024Publication0 citations10.1109/nigercon62786.2024.10927163