Ayman El‐Hag
- Electrical and Electronic Engineering top 2%
- Materials Chemistry top 2%
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 2%
- Mechanical Engineering top 10%
- Co-authors
- Shesha JayaramKhaled ShabanE.A. CherneyRamy HusseinKhaled AssalehRefat Atef GhunemAli Naderian JahromiMamoun F. Abdel–Hafez
- Topics
- High voltage insulation and dielectric phenomena (117 papers)Power Transformer Diagnostics and Insulation (66 papers)Electrical Fault Detection and Protection (23 papers)
- Partner nations
- CanadaUnited Arab EmiratesQatar
In The Last Decade
Ayman El‐Hag
160 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 111
- Electrical and Electronic Engineering 1.8k
- Materials Chemistry 1.7k
- Control and Systems Engineering 493
- Computer Vision and Pattern Recognition 369
- Mechanical Engineering 284
Countries citing papers authored by Ayman El‐Hag
This map shows the geographic impact of Ayman El‐Hag'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 Ayman El‐Hag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayman El‐Hag more than expected).
Fields of papers citing papers by Ayman El‐Hag
This network shows the impact of papers produced by Ayman El‐Hag. 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 Ayman El‐Hag. The network helps show where Ayman El‐Hag may publish in the future.
Co-authorship network of co-authors of Ayman El‐Hag
This figure shows the co-authorship network connecting the top 25 collaborators of Ayman El‐Hag. A scholar is included among the top collaborators of Ayman El‐Hag 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 Ayman El‐Hag. Ayman El‐Hag 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 | 8 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 39 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 32 | |
| 14 | 35 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 31 | |
| 18 | Estimating transformer oil parameters using artificial neural networks | 2 |
| 19 | 2 | |
| 20 | 2 |
About Ayman El‐Hag
Ayman El‐Hag is a scholar working on Materials Chemistry, Biotechnology and Electrical and Electronic Engineering, having authored 166 papers that have together received 2.7k indexed citations. Recurring topics across this work include High voltage insulation and dielectric phenomena (117 papers), Power Transformer Diagnostics and Insulation (66 papers) and Electrical Fault Detection and Protection (23 papers). The work is most often cited by research in Materials Chemistry (1.7k citations), Electrical and Electronic Engineering (1.8k citations) and Control and Systems Engineering (493 citations). Ayman El‐Hag has collaborated with scholars based in Canada, United Arab Emirates and Qatar. Frequent co-authors include Shesha Jayaram, Khaled Shaban, E.A. Cherney, Ramy Hussein, Khaled Assaleh, Refat Atef Ghunem, Ali Naderian Jahromi, Mamoun F. Abdel–Hafez, M.M.A. Salama and Nasser Qaddoumi. Their work appears in journals such as IEEE Transactions on Industry Applications, IEEE Transactions on Power Delivery and Energies.
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.