Laila Abdel‐Fatah
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications top 10%
- Control and Systems Engineering
- Co-authors
- Mohamed Abdel‐BassetArun Kumar SangaiahKhalid A. EldrandalyWeiping DingMarwa SharawiReda MohamedKaram M. SallamVictor Hugo C. de Albuquerque
- Topics
- IoT and Edge/Fog Computing (2 papers)Metaheuristic Optimization Algorithms Research (2 papers)Advanced MIMO Systems Optimization (2 papers)
In The Last Decade
Laila Abdel‐Fatah
11 papers receiving 555 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 209
- Electrical and Electronic Engineering 136
- Computational Theory and Mathematics 77
- Computer Networks and Communications 76
- Control and Systems Engineering 62
Countries citing papers authored by Laila Abdel‐Fatah
This map shows the geographic impact of Laila Abdel‐Fatah'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 Laila Abdel‐Fatah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laila Abdel‐Fatah more than expected).
Fields of papers citing papers by Laila Abdel‐Fatah
This network shows the impact of papers produced by Laila Abdel‐Fatah. 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 Laila Abdel‐Fatah. The network helps show where Laila Abdel‐Fatah may publish in the future.
Co-authorship network of co-authors of Laila Abdel‐Fatah
This figure shows the co-authorship network connecting the top 25 collaborators of Laila Abdel‐Fatah. A scholar is included among the top collaborators of Laila Abdel‐Fatah 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 Laila Abdel‐Fatah. Laila Abdel‐Fatah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 6 | |
| 3 | 23 | |
| 4 | 20 | |
| 5 | 7 | |
| 6 | 18 | |
| 7 | 31 | |
| 8 | 29 | |
| 9 | 26 | |
| 10 | 4 | |
| 11 | Metaheuristic Algorithms: A Comprehensive Reviewbreakdown → | 408 |
About Laila Abdel‐Fatah
Laila Abdel‐Fatah is a scholar working on Media Technology, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 578 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Advanced MIMO Systems Optimization (2 papers). The work is most often cited by research in Artificial Intelligence (209 citations), Computational Theory and Mathematics (77 citations) and Industrial and Manufacturing Engineering (45 citations). Laila Abdel‐Fatah has collaborated with scholars based in Egypt, Australia and Kuwait. Frequent co-authors include Mohamed Abdel‐Basset, Arun Kumar Sangaiah, Khalid A. Eldrandaly, Weiping Ding, Marwa Sharawi, Reda Mohamed, Karam M. Sallam, Victor Hugo C. de Albuquerque, Mohamed Abouhawwash and Mohamed Abdel‐Basset. Their work appears in journals such as IEEE Access, IEEE Transactions on Cybernetics and International Journal of Information 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.