Engy El-Shafeiy
- Artificial Intelligence
- Neurology
- Computer Networks and Communications
- Health Information Management top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Maazen AlsabaanMohamed I. IbrahemAmr A. AbohanyShaymaa E. SorourKaram M. SallamAmr A. Abd El-MageedAbdulrahman K. AlnaimAli I. El-Desouky
- Topics
- IoT and Edge/Fog Computing (2 papers)Water Quality Monitoring Technologies (2 papers)Energy Efficient Wireless Sensor Networks (2 papers)
- Partner nations
- EgyptSaudi ArabiaUnited States
In The Last Decade
Engy El-Shafeiy
14 papers receiving 209 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 79
- Neurology 51
- Computer Networks and Communications 40
- Health Information Management 30
- Radiology, Nuclear Medicine and Imaging 27
Countries citing papers authored by Engy El-Shafeiy
This map shows the geographic impact of Engy El-Shafeiy'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 Engy El-Shafeiy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Engy El-Shafeiy more than expected).
Fields of papers citing papers by Engy El-Shafeiy
This network shows the impact of papers produced by Engy El-Shafeiy. 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 Engy El-Shafeiy. The network helps show where Engy El-Shafeiy may publish in the future.
Co-authorship network of co-authors of Engy El-Shafeiy
This figure shows the co-authorship network connecting the top 25 collaborators of Engy El-Shafeiy. A scholar is included among the top collaborators of Engy El-Shafeiy 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 Engy El-Shafeiy. Engy El-Shafeiy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | Classification of Alzheimer’s disease using MRI data based on Deep Learning Techniquesbreakdown → | 58 |
| 5 | 38 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 15 | |
| 10 | 2 | |
| 11 | 34 | |
| 12 | 15 | |
| 13 | 6 | |
| 14 | 20 | |
| 15 | 4 |
About Engy El-Shafeiy
Engy El-Shafeiy is a scholar working on Health Information Management, Human-Computer Interaction and Computer Networks and Communications, having authored 15 papers that have together received 217 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (2 papers), Water Quality Monitoring Technologies (2 papers) and Energy Efficient Wireless Sensor Networks (2 papers). The work is most often cited by research in Health Information Management (30 citations), Neurology (51 citations) and Health Informatics (5 citations). Engy El-Shafeiy has collaborated with scholars based in Egypt, Saudi Arabia and United States. Frequent co-authors include Maazen Alsabaan, Mohamed I. Ibrahem, Amr A. Abohany, Shaymaa E. Sorour, Karam M. Sallam, Amr A. Abd El-Mageed, Abdulrahman K. Alnaim, Ali I. El-Desouky, Ripon K. Chakrabortty and Sally M. Elghamrawy. Their work appears in journals such as Expert Systems with Applications, Sensors and Applied Sciences.
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.