Editor Management
Assist Prof. Mohammed Fadhil Ibrahim
Middle Technical University (MTU), Iraq
Computer Science
Cross-Platform Metrics
| Metric | OpenAlex | CrossRef | ORCID |
|---|---|---|---|
| Works Count | 16 | 2 | 16 |
| Citations Count | 61 | 13 | — |
| H-index | 5 | 1 | — |
Publication & Citation Trends
Source: OpenAlexMost Cited Works
01
Evaluation of Naïve Bayes Classification in Arabic Short Text Classification
Al-Mustansiriyah Journal of Science
02
Evaluating The Impact of Feature Extraction Techniques on Arabic Reviews Classification
Iraqi journal of data science.
03
Optimizing the Performance of KNN Classifier for Human Activity Recognition
Communications in computer and information science
04
Title-Based Document Classification for Arabic Theses and Dissertations
Lecture notes in networks and systems
05
Measuring Students’ Intention to Use E-Learning During Covid-19 Pandemic: A Case Study in Technical College of Management – Baghdad
International journal of intelligent engineering and systems
06
Evaluation of Different Stemming Techniques on Arabic Customer Reviews
Journal of Techniques
07
A Method to Encode the Fingerprint Minutiae Using QR Code
journal of the college of basic education
08
Classifications of Arabic Customer Reviews Using Stemming and Deep Learning
Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
09
Towards News Classification, a Machine Learning Approach Based on Stemming and Feature Extraction
Journal of Information & Knowledge Management
10
Research Topics
Advanced Text Analysis Techniques
(5)
Text and Document Classification Technologies
(4)
Neural dynamics and brain function
(3)
Technology Adoption and User Behaviour
(2)
Advanced Memory and Neural Computing
(2)
OpenAlex
Source: OpenAlex16
Works Count
61
Citations Count
5
H-index
2
I10-index
2yr Mean Citedness
3.167
Avg. Citations/Work
3.8
Affiliations
Middle Technical University
Education
Citation Distribution
CrossRef
2
Works Count
13
Citations Count
1
H-index
Top CrossRef Works
•
Evaluating The Impact of Feature Extraction Techniques on Arabic Reviews Classification
(2024) — 12 cites
•
Towards News Classification, a Machine Learning Approach Based on Stemming and Feature Extraction
(2025) — 1 cites
ORCID
0000-0003-4674-020X16
Registered Works
•
Towards News Classification, a Machine Learning Approach Based on Stemming and Feature Extraction
(2025)
— Journal of Information & Knowledge Management
•
Evaluating The Impact of Feature Extraction Techniques on Arabic Reviews Classification
(2024)
— InfoTech Spectrum: Iraqi Journal of Data Science
•
Classifications of Arabic Customer Reviews Using Stemming and Deep Learning
(2024)
— Indonesian Journal of Electrical Engineering and Informatics
•
Single Objective Optimization Methods in Electrical Power Systems: A Review
(2023)
— Journal of Techniques
•
Title-Based Document Classification for Arabic Theses and Dissertations
(2022)
— Advances in Data and Information Sciences