Thaer Thaher

1.0k total citations · 1 hit paper
26 papers, 637 citations indexed

About

Thaer Thaher is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thaer Thaher has authored 26 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thaer Thaher's work include Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (5 papers) and Software Reliability and Analysis Research (4 papers). Thaer Thaher is often cited by papers focused on Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (5 papers) and Software Reliability and Analysis Research (4 papers). Thaer Thaher collaborates with scholars based in Palestinian Territory, Saudi Arabia and United States. Thaer Thaher's co-authors include Hamza Turabieh, Majdi Mafarja, Hamouda Chantar, Jingwei Too, Iyad Tumar, Alaa Sheta, Hossam Faris, Ibrahim Aljarah, Essam H. Houssein and Maria Habib and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Thaer Thaher

24 papers receiving 617 citations

Hit Papers

Classification framework for faulty-software using enhanc... 2023 2026 2024 2025 2023 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning
    2023 61 citations Majdi Mafarja, Thaer Thaher et al. Applied Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thaer Thaher Palestinian Territory 14 359 165 122 85 74 26 637
Min Zhou China 14 159 0.4× 159 1.0× 84 0.7× 71 0.8× 42 0.6× 91 596
John Sauter United States 14 218 0.6× 62 0.4× 271 2.2× 16 0.2× 24 0.3× 51 688
Heyuan Shi China 11 139 0.4× 115 0.7× 82 0.7× 69 0.8× 10 0.1× 54 453
Vivek Nigam United States 12 272 0.8× 62 0.4× 243 2.0× 15 0.2× 108 1.5× 68 790
Divya Kumar India 12 190 0.5× 81 0.5× 59 0.5× 49 0.6× 37 0.5× 46 451
Manju Bala India 12 168 0.5× 110 0.7× 181 1.5× 22 0.3× 14 0.2× 71 646
S. Kanmani India 12 311 0.9× 392 2.4× 136 1.1× 223 2.6× 61 0.8× 62 761
Manjari Gupta India 14 298 0.8× 252 1.5× 81 0.7× 145 1.7× 19 0.3× 68 783
Asim Roy United States 14 336 0.9× 37 0.2× 31 0.3× 11 0.1× 60 0.8× 49 608

Countries citing papers authored by Thaer Thaher

Since Specialization
Citations

This map shows the geographic impact of Thaer Thaher's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thaer Thaher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thaer Thaher more than expected).

Fields of papers citing papers by Thaer Thaher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thaer Thaher. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thaer Thaher. The network helps show where Thaer Thaher may publish in the future.

Co-authorship network of co-authors of Thaer Thaher

This figure shows the co-authorship network connecting the top 25 collaborators of Thaer Thaher. A scholar is included among the top collaborators of Thaer Thaher based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thaer Thaher. Thaer Thaher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Thaher, Thaer, et al.. (2025). A Comprehensive Review of Face Detection Techniques for Occluded Faces: Methods, Datasets, and Open Challenges. Computer Modeling in Engineering & Sciences. 143(3). 2615–2673.
2.
Hussain, Mohammed, Thaer Thaher, Mohamed Basel Almourad, & Majdi Mafarja. (2024). Optimizing VGG16 deep learning model with enhanced hunger games search for logo classification. Scientific Reports. 14(1). 31759–31759. 2 indexed citations
3.
Sheta, Alaa, Thaer Thaher, Salim Surani, et al.. (2023). Diagnosis of Obstructive Sleep Apnea Using Feature Selection, Classification Methods, and Data Grouping Based Age, Sex, and Race. Diagnostics. 13(14). 2417–2417. 4 indexed citations
4.
5.
Thaher, Thaer, et al.. (2023). Cooperative Swarm Intelligence Algorithms for Adaptive Multilevel Thresholding Segmentation of COVID-19 CT-Scan Images. JUCS - Journal of Universal Computer Science. 29(7). 759–804. 9 indexed citations
6.
Thaher, Thaer, et al.. (2023). Enhanced variants of crow search algorithm boosted with cooperative based island model for global optimization. Expert Systems with Applications. 238. 121712–121712. 8 indexed citations
7.
Mafarja, Majdi, Thaer Thaher, Mohammed Azmi Al‐Betar, et al.. (2023). Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning. Applied Intelligence. 53(15). 18715–18757. 61 indexed citations breakdown →
8.
Mafarja, Majdi, Thaer Thaher, Jingwei Too, et al.. (2022). An Efficient High-dimensional Feature Selection Approach Driven By Enhanced Multi-strategy Grey Wolf Optimizer for Biological Data Classification. Neural Computing and Applications. 35(2). 1749–1775. 29 indexed citations
9.
Thaher, Thaer, Hamouda Chantar, Jingwei Too, et al.. (2022). Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems. Expert Systems with Applications. 195. 116550–116550. 51 indexed citations
10.
Thaher, Thaer, Majdi Mafarja, Hamza Turabieh, et al.. (2021). Teaching Learning-Based Optimization With Evolutionary Binarization Schemes for Tackling Feature Selection Problems. IEEE Access. 9. 41082–41103. 17 indexed citations
11.
12.
Sheta, Alaa, Hamza Turabieh, Thaer Thaher, et al.. (2021). Diagnosis of Obstructive Sleep Apnea from ECG Signals Using Machine Learning and Deep Learning Classifiers. Applied Sciences. 11(14). 6622–6622. 63 indexed citations
13.
Thaher, Thaer, Atef Zaguia, Majdi Mafarja, et al.. (2021). An Enhanced Evolutionary Student Performance Prediction Model Using Whale Optimization Algorithm Boosted with Sine-Cosine Mechanism. Applied Sciences. 11(21). 10237–10237. 17 indexed citations
14.
Turabieh, Hamza, et al.. (2021). Boosted Whale Optimization Algorithm With Natural Selection Operators for Software Fault Prediction. IEEE Access. 9. 14239–14258. 66 indexed citations
15.
Chantar, Hamouda, Thaer Thaher, Hamza Turabieh, Majdi Mafarja, & Alaa Sheta. (2021). BHHO-TVS: A Binary Harris Hawks Optimizer with Time-Varying Scheme for Solving Data Classification Problems. Applied Sciences. 11(14). 6516–6516. 19 indexed citations
16.
Thaher, Thaer, et al.. (2021). Sentiment Analysis Model for Fake News Identification in Arabic Tweets. 1–6. 5 indexed citations
17.
Tumar, Iyad, et al.. (2020). Enhanced Binary Moth Flame Optimization as a Feature Selection Algorithm to Predict Software Fault Prediction. IEEE Access. 8. 8041–8055. 81 indexed citations
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20.
Thaher, Thaer & Isam Ishaq. (2020). Cloud-based Internet of Things Approach for Smart Irrigation System: Design and Implementation. 32–37. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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