Warda M. Shaban
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Health Information Management top 2%
- Computer Vision and Pattern Recognition
- Renewable Energy, Sustainability and the Environment
- Co-authors
- M.A. Abo-ElsoudAsmaa H. RabieAhmed I. SalehFatma M. TalaatA.E. KabeelMohammed El Hadi AttiaSayed A. WardMohamed Shehata
- Topics
- Artificial Intelligence in Healthcare (5 papers)Energy Load and Power Forecasting (4 papers)COVID-19 diagnosis using AI (4 papers)
- Partner nations
- EgyptSaudi ArabiaAlgeria
In The Last Decade
Warda M. Shaban
17 papers receiving 465 citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 232
- Radiology, Nuclear Medicine and Imaging 187
- Health Information Management 67
- Computer Vision and Pattern Recognition 58
- Renewable Energy, Sustainability and the Environment 50
Countries citing papers authored by Warda M. Shaban
This map shows the geographic impact of Warda M. Shaban'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 Warda M. Shaban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warda M. Shaban more than expected).
Fields of papers citing papers by Warda M. Shaban
This network shows the impact of papers produced by Warda M. Shaban. 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 Warda M. Shaban. The network helps show where Warda M. Shaban may publish in the future.
Co-authorship network of co-authors of Warda M. Shaban
This figure shows the co-authorship network connecting the top 25 collaborators of Warda M. Shaban. A scholar is included among the top collaborators of Warda M. Shaban 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 Warda M. Shaban. Warda M. Shaban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 45 | |
| 10 | 14 | |
| 11 | 23 | |
| 12 | 13 | |
| 13 | 21 | |
| 14 | 32 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 29 | |
| 18 | 42 | |
| 19 | 167 | |
| 20 | 83 |
About Warda M. Shaban
Warda M. Shaban is a scholar working on Health Information Management, Artificial Intelligence and Renewable Energy, Sustainability and the Environment, having authored 23 papers that have together received 507 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (5 papers), Energy Load and Power Forecasting (4 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Health Information Management (67 citations), Health Informatics (12 citations) and Radiology, Nuclear Medicine and Imaging (187 citations). Warda M. Shaban has collaborated with scholars based in Egypt, Saudi Arabia and Algeria. Frequent co-authors include M.A. Abo-Elsoud, Asmaa H. Rabie, Ahmed I. Saleh, Fatma M. Talaat, A.E. Kabeel, Mohammed El Hadi Attia, Sayed A. Ward, Mohamed Shehata, Mostafa A. Elhosseini and Medhat A. Tawfeek. Their work appears in journals such as Scientific Reports, Renewable Energy and Solar Energy.
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.