Raed AlRuwaili
- Neurology top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Mubarak AlruwailiNaif H. AliMuhammad Umair AliMuhammad IrfanShaik Javeed HussainAmad ZafarHayder M. Al‐kuraishyHebatallah M. Saad
- Topics
- Neurological Complications and Syndromes (2 papers)Nerve injury and regeneration (2 papers)Epilepsy research and treatment (2 papers)
- Partner nations
- Saudi ArabiaEgyptIraq
In The Last Decade
Raed AlRuwaili
15 papers receiving 289 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Neurology 158
- Computer Vision and Pattern Recognition 106
- Artificial Intelligence 81
- Molecular Biology 51
- Radiology, Nuclear Medicine and Imaging 45
Countries citing papers authored by Raed AlRuwaili
This map shows the geographic impact of Raed AlRuwaili'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 Raed AlRuwaili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raed AlRuwaili more than expected).
Fields of papers citing papers by Raed AlRuwaili
This network shows the impact of papers produced by Raed AlRuwaili. 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 Raed AlRuwaili. The network helps show where Raed AlRuwaili may publish in the future.
Co-authorship network of co-authors of Raed AlRuwaili
This figure shows the co-authorship network connecting the top 25 collaborators of Raed AlRuwaili. A scholar is included among the top collaborators of Raed AlRuwaili 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 Raed AlRuwaili. Raed AlRuwaili 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 | 4 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 23 | |
| 7 | 2 | |
| 8 | 17 | |
| 9 | Brain Tumor/Mass Classification Framework Using Magnetic-Resonance-Imaging-Based Isolated and Developed Transfer Deep-Learning Modelbreakdown → | 165 |
| 10 | 39 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 21 |
About Raed AlRuwaili
Raed AlRuwaili is a scholar working on Psychiatry and Mental health, Neurology and Occupational Therapy, having authored 15 papers that have together received 295 indexed citations. Recurring topics across this work include Neurological Complications and Syndromes (2 papers), Nerve injury and regeneration (2 papers) and Epilepsy research and treatment (2 papers). The work is most often cited by research in Neurology (158 citations), Computer Vision and Pattern Recognition (106 citations) and Artificial Intelligence (81 citations). Raed AlRuwaili has collaborated with scholars based in Saudi Arabia, Egypt and Iraq. Frequent co-authors include Mubarak Alruwaili, Naif H. Ali, Muhammad Umair Ali, Muhammad Irfan, Shaik Javeed Hussain, Amad Zafar, Hayder M. Al‐kuraishy, Hebatallah M. Saad, Gaber El‐Saber Batiha and Ali I. Al‐Gareeb. Their work appears in journals such as Sensors, Oxidative Medicine and Cellular Longevity and Molecular Neurobiology.
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.