Moustafa Elsayed
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Urban Stormwater Management Solutions
- Air Quality Monitoring and Forecasting
Papers in
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- Urban Stormwater Management Solutions 4
- Hydrological Forecasting Using AI 1
- Air Quality Monitoring and Forecasting 1
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- Water Systems and Optimization 3
- Infrastructure Maintenance and Monitoring 1
- Co-authors
- Tarek Zayed (6 shared papers)Abdelrahman E. E. Eltoukhy (3 shared papers)Eslam Ali (3 shared papers)Saeed Reza Mohandes (3 shared papers)Ahmed Farouk Kineber (2 shared papers)M. Reza Hosseini (1 shared paper)Sherif Abdelkhalek (1 shared paper)Mohammed Magdy Hamed (1 shared paper)
- Journals
- IEEE Access (2 papers)Sustainability (1 paper)Journal of Cleaner Production (1 paper)Smart and Sustainable Built Environment (1 paper)Systems (1 paper)
- Partner nations
- Hong KongEgyptUnited States
In The Last Decade
Moustafa Elsayed
6 papers receiving 215 citations
Peers
Comparison fields: 5 of 79
- Health Informatics 43
- Environmental Engineering 44
- Water Science and Technology 40
- Statistics, Probability and Uncertainty 18
- Building and Construction 25
Countries citing papers authored by Moustafa Elsayed
This map shows the geographic impact of Moustafa Elsayed'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 Moustafa Elsayed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moustafa Elsayed more than expected).
Fields of papers citing papers by Moustafa Elsayed
This network shows the impact of papers produced by Moustafa Elsayed. 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 Moustafa Elsayed. The network helps show where Moustafa Elsayed may publish in the future.
Co-authors
The 12 scholars most cited alongside Moustafa Elsayed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 106 | |
| 2 | 2022 | 49 | |
| 3 | 2024 | 35 | |
| 4 | 2022 | 13 | |
| 5 | 2023 | 12 | |
| 6 | 2024 | 2 |
About Moustafa Elsayed
Moustafa Elsayed is a scholar working on Environmental Engineering, Civil and Structural Engineering, Water Science and Technology, Industrial and Manufacturing Engineering and Health Informatics, having authored 6 papers that have together received 217 indexed citations. Recurring topics across this work include Urban Stormwater Management Solutions (4 papers), Water Quality Monitoring Technologies (3 papers), Water Systems and Optimization (3 papers), Artificial Intelligence in Healthcare and Education (1 paper), Hydrological Forecasting Using AI (1 paper), Infrastructure Maintenance and Monitoring (1 paper), Air Quality Monitoring and Forecasting (1 paper) and Water Quality Monitoring and Analysis (1 paper). The work is most often cited by research in Health Informatics (43 citations), Environmental Engineering (44 citations), Water Science and Technology (40 citations), Statistics, Probability and Uncertainty (18 citations) and Building and Construction (25 citations). Moustafa Elsayed has collaborated with scholars based in Hong Kong, Egypt and United States. Frequent co-authors include Tarek Zayed, Abdelrahman E. E. Eltoukhy, Eslam Ali, Saeed Reza Mohandes, Ahmed Farouk Kineber, M. Reza Hosseini, Sherif Abdelkhalek, Mohammed Magdy Hamed, Timothy O. Olawumi and Maxwell Fordjour Antwi‐Afari. Their work appears in journals such as IEEE Access, Sustainability, Journal of Cleaner Production, Smart and Sustainable Built Environment and Systems.
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.