El‐Sayed M. El‐kenawy
- Artificial Intelligence top 0.5%
- Electrical and Electronic Engineering top 5%
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Abdelhameed IbrahimMarwa M. EidAbdelaziz A. AbdelhamidSeyedali MirjaliliDoaa Sami KhafagaNima KhodadadiAmel Ali AlhussanAli I. El-Desouky
- Topics
- Energy Load and Power Forecasting (33 papers)Metaheuristic Optimization Algorithms Research (30 papers)Solar Radiation and Photovoltaics (23 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- EgyptSaudi ArabiaJordan
In The Last Decade
El‐Sayed M. El‐kenawy
207 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Artificial Intelligence 1.7k
- Electrical and Electronic Engineering 976
- Computer Vision and Pattern Recognition 599
- Radiology, Nuclear Medicine and Imaging 387
- Computer Networks and Communications 362
Countries citing papers authored by El‐Sayed M. El‐kenawy
This map shows the geographic impact of El‐Sayed M. El‐kenawy'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 El‐Sayed M. El‐kenawy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites El‐Sayed M. El‐kenawy more than expected).
Fields of papers citing papers by El‐Sayed M. El‐kenawy
This network shows the impact of papers produced by El‐Sayed M. El‐kenawy. 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 El‐Sayed M. El‐kenawy. The network helps show where El‐Sayed M. El‐kenawy may publish in the future.
Co-authorship network of co-authors of El‐Sayed M. El‐kenawy
This figure shows the co-authorship network connecting the top 25 collaborators of El‐Sayed M. El‐kenawy. A scholar is included among the top collaborators of El‐Sayed M. El‐kenawy 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 El‐Sayed M. El‐kenawy. El‐Sayed M. El‐kenawy 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 | 7 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 0 | |
| 9 | 40 | |
| 10 | 2 | |
| 11 | 40 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 7 | |
| 19 | 19 | |
| 20 | 14 |
About El‐Sayed M. El‐kenawy
El‐Sayed M. El‐kenawy is a scholar working on Health Information Management, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 242 papers that have together received 4.9k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (33 papers), Metaheuristic Optimization Algorithms Research (30 papers) and Solar Radiation and Photovoltaics (23 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Health Information Management (197 citations) and Virology (185 citations). El‐Sayed M. El‐kenawy has collaborated with scholars based in Egypt, Saudi Arabia and Jordan. Frequent co-authors include Abdelhameed Ibrahim, Marwa M. Eid, Abdelaziz A. Abdelhamid, Seyedali Mirjalili, Doaa Sami Khafaga, Nima Khodadadi, Amel Ali Alhussan, Ali I. El-Desouky, Ahmed M. Elshewey and Mahmoud Y. Shams. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.