Majdi Mafarja

16.8k citations
87 papers · 12.6k indexed · 11 hit papers · h-index 44
Topics
Metaheuristic Optimization Algorithms Research (50 papers)Evolutionary Algorithms and Applications (30 papers)Advanced Multi-Objective Optimization Algorithms (19 papers)

In The Last Decade

Majdi Mafarja

85 papers receiving 12.3k citations

Hit Papers

Harris hawks optimization: Algorithm and applications20172026202020232019201720172023201810002.0k3.0k4.0k

Peers

Majdi Mafarja
Comparison fields: 5 of 182
  • Artificial Intelligence 7.9k
  • Computational Theory and Mathematics 2.7k
  • Computer Vision and Pattern Recognition 2.1k
  • Electrical and Electronic Engineering 1.7k
  • Control and Systems Engineering 1.3k
Replace Ibrahim Aljarah with:
Ibrahim Aljarah Jordan
Suash Deb Macao
Hossam Faris Jordan
Gai‐Ge Wang China
Bahriye Akay Türkiye
Zong Woo Geem South Korea
Hossein Nezamabadi–pour Iran
Farhad Soleimanian Gharehchopogh Iran
Mohammed Azmi Al‐Betar Jordan
Essam H. Houssein Egypt
Majdi Mafarja relative to Ibrahim Aljarah Jordan Ibrahim Aljarah's profile →
Citations per field
00.5×1.5×
Ibrahim Aljarah · 1×
Citations per year

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
#WorkIndexed citations
1 2
2
RIME: A physics-based optimizationbreakdown →
594
3 9
4
Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosisbreakdown →
80
5 8
6 105
7 11
8 17
9 110
10 18
11 63
12 48
13 78
14 17
15 29
16 30
17 29
18 201
19 213
20 122

About Majdi Mafarja

Majdi Mafarja is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 87 papers that have together received 12.6k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (50 papers), Evolutionary Algorithms and Applications (30 papers) and Advanced Multi-Objective Optimization Algorithms (19 papers). The work is most often cited by research in Artificial Intelligence (7.9k citations), Computational Theory and Mathematics (2.7k citations) and Computer Vision and Pattern Recognition (2.1k citations). Majdi Mafarja has collaborated with scholars based in Palestinian Territory, Saudi Arabia and China. Frequent co-authors include Seyedali Mirjalili, Ali Asghar Heidari, Ibrahim Aljarah, Hossam Faris, Huiling Chen, Ala’ M. Al-Zoubi, Hamza Turabieh, Abdelaziz I. Hammouri, Hamido Fujita and Dong Zhao. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and Energy Conversion and Management.

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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