Majdi Mafarja

16.8k total citations · 11 hit papers
87 papers, 12.6k citations indexed

About

Majdi Mafarja is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Majdi Mafarja has authored 87 papers receiving a total of 12.6k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Artificial Intelligence, 25 papers in Computational Theory and Mathematics and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Majdi Mafarja's work include Metaheuristic Optimization Algorithms Research (50 papers), Evolutionary Algorithms and Applications (30 papers) and Advanced Multi-Objective Optimization Algorithms (19 papers). Majdi Mafarja is often cited by papers focused on Metaheuristic Optimization Algorithms Research (50 papers), Evolutionary Algorithms and Applications (30 papers) and Advanced Multi-Objective Optimization Algorithms (19 papers). Majdi Mafarja collaborates with scholars based in Palestinian Territory, Saudi Arabia and China. Majdi Mafarja's co-authors include Seyedali Mirjalili, Ali Asghar Heidari, Hossam Faris, Ibrahim Aljarah, Huiling Chen, Ala’ M. Al-Zoubi, Hamza Turabieh, Abdelaziz I. Hammouri, Hamido Fujita and Lei Liu and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Energy Conversion and Management.

In The Last Decade

Majdi Mafarja

85 papers receiving 12.3k citations

Hit Papers

Harris hawks optimization... 2017 2026 2020 2023 2019 2017 2017 2023 2018 1000 2.0k 3.0k 4.0k
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. Harris hawks optimization: Algorithm and applications
    2019 4.5k citations Ali Asghar Heidari, Seyedali Mirjalili et al. profile →
  2. Hybrid Whale Optimization Algorithm with simulated annealing for feature selection
    2017 927 citations Majdi Mafarja, Seyedali Mirjalili Neurocomputing profile →
  3. Whale optimization approaches for wrapper feature selection
    2017 660 citations Majdi Mafarja, Seyedali Mirjalili profile →
  4. RIME: A physics-based optimization
    2023 594 citations Hang Su, Dong Zhao et al. Neurocomputing profile →
  5. An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems
    2018 545 citations Hossam Faris, Majdi Mafarja et al. Knowledge-Based Systems profile →
  6. Evolutionary Population Dynamics and Grasshopper Optimization approaches for feature selection problems
    2017 353 citations Majdi Mafarja, Ibrahim Aljarah et al. Knowledge-Based Systems profile →
  7. Binary grasshopper optimisation algorithm approaches for feature selection problems
    2018 339 citations Majdi Mafarja, Ibrahim Aljarah et al. Expert Systems with Applications profile →
  8. Binary dragonfly optimization for feature selection using time-varying transfer functions
    2018 332 citations Majdi Mafarja, Ibrahim Aljarah et al. Knowledge-Based Systems profile →
  9. Slime mould algorithm: a comprehensive review of recent variants and applications
    2022 139 citations Huiling Chen, Majdi Mafarja et al. profile →
  10. Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis
    2022 80 citations Jianfu Xia, Zhifei Wang et al. Computers in Biology and Medicine profile →
  11. 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. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Majdi Mafarja Palestinian Territory 44 7.9k 2.7k 2.1k 1.7k 1.3k 87 12.6k
Ibrahim Aljarah Jordan 48 8.0k 1.0× 2.4k 0.9× 1.7k 0.8× 2.0k 1.2× 1.4k 1.1× 117 13.3k
Essam H. Houssein Egypt 56 6.3k 0.8× 2.2k 0.8× 1.7k 0.8× 2.4k 1.4× 1.4k 1.0× 259 11.9k
Hossein Nezamabadi–pour Iran 45 6.8k 0.9× 2.5k 0.9× 2.5k 1.2× 2.5k 1.5× 1.8k 1.3× 236 12.7k
Bahriye Akay Türkiye 32 7.2k 0.9× 3.1k 1.2× 2.0k 1.0× 2.0k 1.2× 1.8k 1.4× 56 13.5k
Gai‐Ge Wang China 62 7.3k 0.9× 3.4k 1.3× 1.7k 0.8× 1.9k 1.1× 1.4k 1.0× 189 12.9k
Suash Deb Macao 36 6.5k 0.8× 2.8k 1.0× 1.5k 0.7× 2.5k 1.5× 1.6k 1.2× 93 12.3k
A. K. Qin Australia 43 8.2k 1.0× 4.0k 1.5× 1.7k 0.8× 1.5k 0.9× 1.9k 1.4× 218 13.4k
Andries P. Engelbrecht South Africa 51 9.0k 1.1× 4.5k 1.7× 1.4k 0.7× 1.3k 0.8× 1.9k 1.4× 366 13.5k
Yuhui Shi China 49 7.9k 1.0× 3.6k 1.4× 1.7k 0.8× 2.6k 1.5× 2.5k 1.9× 240 14.7k
Hossam Faris Jordan 51 10.3k 1.3× 3.4k 1.3× 2.2k 1.1× 3.1k 1.9× 2.1k 1.6× 167 18.0k

Countries citing papers authored by Majdi Mafarja

Since Specialization
Citations

This map shows the geographic impact of Majdi Mafarja'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 Majdi Mafarja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Majdi Mafarja more than expected).

Fields of papers citing papers by Majdi Mafarja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Majdi Mafarja. 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 Majdi Mafarja. The network helps show where Majdi Mafarja may publish in the future.

Co-authorship network of co-authors of Majdi Mafarja

This figure shows the co-authorship network connecting the top 25 collaborators of Majdi Mafarja. A scholar is included among the top collaborators of Majdi Mafarja 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 Majdi Mafarja. Majdi Mafarja 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.
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
2.
Su, Hang, Dong Zhao, Ali Asghar Heidari, et al.. (2023). RIME: A physics-based optimization. Neurocomputing. 532. 183–214. 594 indexed citations breakdown →
3.
Mafarja, Majdi, Ali Asghar Heidari, Liping Liu, et al.. (2023). Image segmentation of Intracerebral hemorrhage patients based on enhanced hunger Games search Optimizer. Biomedical Signal Processing and Control. 82. 104511–104511. 9 indexed citations
4.
Xia, Jianfu, Zhifei Wang, Daqing Yang, et al.. (2022). Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis. Computers in Biology and Medicine. 143. 105206–105206. 80 indexed citations breakdown →
5.
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
6.
Shan, Weifeng, Nan Jiang, Ali Asghar Heidari, et al.. (2021). Gaussian bare‐bones gradient‐based optimization: Towards mitigating the performance concerns. International Journal of Intelligent Systems. 37(6). 3193–3254. 11 indexed citations
7.
Zhou, Wei, Pengjun Wang, Ali Asghar Heidari, et al.. (2021). Metaphor-free dynamic spherical evolution for parameter estimation of photovoltaic modules. Energy Reports. 7. 5175–5202. 48 indexed citations
8.
Liu, Lei, Dong Zhao, Fanhua Yu, et al.. (2021). Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation. Computers in Biology and Medicine. 138. 104910–104910. 78 indexed citations
9.
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
10.
Mohammadzadeh, Ardashir, et al.. (2021). A New Online Learned Interval Type-3 Fuzzy Control System for Solar Energy Management Systems. IEEE Access. 9. 10498–10508. 110 indexed citations
11.
Chen, Huiling, et al.. (2021). Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem. Knowledge-Based Systems. 233. 107529–107529. 105 indexed citations
12.
Ghaemi, Alireza, Shahab S. Band, Kwok‐wing Chau, et al.. (2021). A decomposition and multi-objective evolutionary optimization model for suspended sediment load prediction in rivers. Engineering Applications of Computational Fluid Mechanics. 15(1). 1811–1829. 18 indexed citations
13.
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
14.
Zhang, Guodao, Shahab S. Band, Changhyun Jun, et al.. (2021). Solar radiation estimation in different climates with meteorological variables using Bayesian model averaging and new soft computing models. Energy Reports. 7. 8973–8996. 29 indexed citations
15.
Gui, Wenyong, Ali Asghar Heidari, Guoxi Liang, et al.. (2021). Spiral Motion Mode Embedded Grasshopper Optimization Algorithm: Design and Analysis. IEEE Access. 9. 71104–71132. 8 indexed citations
16.
Ma, Chao, et al.. (2020). Optimal Type-3 Fuzzy System for Solving Singular Multi-Pantograph Equations. IEEE Access. 8. 225692–225702. 30 indexed citations
17.
Mafarja, Majdi, Ali Asghar Heidari, Hossam Faris, et al.. (2019). An evolutionary gravitational search-based feature selection. Information Sciences. 497. 219–239. 201 indexed citations
18.
Turabieh, Hamza, Majdi Mafarja, & Seyedali Mirjalili. (2019). Dynamic Adaptive Network-Based Fuzzy Inference System (D-ANFIS) for the Imputation of Missing Data for Internet of Medical Things Applications. IEEE Internet of Things Journal. 6(6). 9316–9325. 29 indexed citations
19.
Faris, Hossam, Ala’ M. Al-Zoubi, Ali Asghar Heidari, et al.. (2018). An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks. Information Fusion. 48. 67–83. 213 indexed citations
20.
Turabieh, Hamza, Majdi Mafarja, & Xiaodong Li. (2018). Iterated feature selection algorithms with layered recurrent neural network for software fault prediction. Expert Systems with Applications. 122. 27–42. 122 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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