Doaa Sami Khafaga
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Virology top 5%
- Molecular Biology
- Co-authors
- El‐Sayed M. El‐kenawyAbdelhameed IbrahimAbdelaziz A. AbdelhamidAmel Ali AlhussanMarwa M. EidNima KhodadadiAmal H. AlharbiS. K. Towfek
- Topics
- Metaheuristic Optimization Algorithms Research (19 papers)Energy Load and Power Forecasting (19 papers)Artificial Intelligence in Healthcare (10 papers)
- Partner nations
- Saudi ArabiaEgyptUnited States
In The Last Decade
Doaa Sami Khafaga
120 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Artificial Intelligence 646
- Electrical and Electronic Engineering 363
- Computer Vision and Pattern Recognition 275
- Virology 165
- Molecular Biology 157
Countries citing papers authored by Doaa Sami Khafaga
This map shows the geographic impact of Doaa Sami Khafaga'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 Doaa Sami Khafaga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Doaa Sami Khafaga more than expected).
Fields of papers citing papers by Doaa Sami Khafaga
This network shows the impact of papers produced by Doaa Sami Khafaga. 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 Doaa Sami Khafaga. The network helps show where Doaa Sami Khafaga may publish in the future.
Co-authorship network of co-authors of Doaa Sami Khafaga
This figure shows the co-authorship network connecting the top 25 collaborators of Doaa Sami Khafaga. A scholar is included among the top collaborators of Doaa Sami Khafaga 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 Doaa Sami Khafaga. Doaa Sami Khafaga 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 | 0 | |
| 3 | 10 | |
| 4 | 4 | |
| 5 | 40 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 26 | |
| 13 | 13 | |
| 14 | 7 | |
| 15 | 19 | |
| 16 | 4 | |
| 17 | 70 | |
| 18 | 2 | |
| 19 | 22 | |
| 20 | 10 |
About Doaa Sami Khafaga
Doaa Sami Khafaga is a scholar working on Health Information Management, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 145 papers that have together received 2.1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (19 papers), Energy Load and Power Forecasting (19 papers) and Artificial Intelligence in Healthcare (10 papers). The work is most often cited by research in Virology (165 citations), Health Information Management (127 citations) and Artificial Intelligence (646 citations). Doaa Sami Khafaga has collaborated with scholars based in Saudi Arabia, Egypt and United States. Frequent co-authors include El‐Sayed M. El‐kenawy, Abdelhameed Ibrahim, Abdelaziz A. Abdelhamid, Amel Ali Alhussan, Marwa M. Eid, Nima Khodadadi, Amal H. Alharbi, S. K. Towfek, Faten Khalid Karim and Seyedali Mirjalili. Their work appears in journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.
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.