Shady A. Maged
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Automotive Engineering top 10%
- Mechanical Engineering
- Co-authors
- Mohammed I. AwadMohamed AbdelazizAhmed OsamaAhmed M. AbdelmoniemSherif HammadAliaa Rehan YoussefMohamed Nabil SabryA. A. Abouelsoud
- Topics
- Robot Manipulation and Learning (13 papers)Robotic Path Planning Algorithms (13 papers)Soft Robotics and Applications (13 papers)
- Cited by
- Automotive EngineeringControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- Scientific ReportsIEEE AccessSensors
- Partner nations
- EgyptUnited KingdomPakistan
In The Last Decade
Shady A. Maged
68 papers receiving 373 citations
Peers
Comparison fields: 5 of 73
- Control and Systems Engineering 151
- Biomedical Engineering 103
- Computer Vision and Pattern Recognition 99
- Automotive Engineering 84
- Mechanical Engineering 73
Countries citing papers authored by Shady A. Maged
This map shows the geographic impact of Shady A. Maged'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 Shady A. Maged with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shady A. Maged more than expected).
Fields of papers citing papers by Shady A. Maged
This network shows the impact of papers produced by Shady A. Maged. 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 Shady A. Maged. The network helps show where Shady A. Maged may publish in the future.
Co-authorship network of co-authors of Shady A. Maged
This figure shows the co-authorship network connecting the top 25 collaborators of Shady A. Maged. A scholar is included among the top collaborators of Shady A. Maged 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 Shady A. Maged. Shady A. Maged is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 13 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 0 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 34 | |
| 19 | 1 | |
| 20 | 5 |
About Shady A. Maged
Shady A. Maged is a scholar working on Control and Systems Engineering, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 72 papers that have together received 390 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (13 papers), Robotic Path Planning Algorithms (13 papers) and Soft Robotics and Applications (13 papers). The work is most often cited by research in Automotive Engineering (84 citations), Control and Systems Engineering (151 citations) and Computer Vision and Pattern Recognition (99 citations). Shady A. Maged has collaborated with scholars based in Egypt, United Kingdom and Pakistan. Frequent co-authors include Mohammed I. Awad, Mohamed Abdelaziz, Ahmed Osama, Ahmed M. Abdelmoniem, Sherif Hammad, Aliaa Rehan Youssef, Mohamed Nabil Sabry, A. A. Abouelsoud, Ahmed M. R. Fath El‐Bab and Tamer Emara. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
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.