Majdi Mafarja
- Artificial Intelligence top 0.05%
- Computational Theory and Mathematics top 0.1%
- Computer Vision and Pattern Recognition top 0.5%
- Electrical and Electronic Engineering top 2%
- Control and Systems Engineering top 0.5%
- Co-authors
- Seyedali MirjaliliAli Asghar HeidariIbrahim AljarahHossam FarisHuiling ChenAla’ M. Al-ZoubiHamza TurabiehAbdelaziz I. Hammouri
- Topics
- Metaheuristic Optimization Algorithms Research (50 papers)Evolutionary Algorithms and Applications (30 papers)Advanced Multi-Objective Optimization Algorithms (19 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Partner nations
- Palestinian TerritorySaudi ArabiaChina
In The Last Decade
Majdi Mafarja
85 papers receiving 12.3k citations
Hit Papers
Peers
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
Countries citing papers authored by Majdi Mafarja
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
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
| # | Work | Indexed 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.