Mohamed Abdel‐Nasser
- Artificial Intelligence top 1%
- AI in cancer detection 25
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- Radiomics and Machine Learning in Medical Imaging 13
- Health Informatics top 10%
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- Energy Load and Power Forecasting 11
- Optimal Power Flow Distribution 8
- Smart Grid Energy Management 7
- Electric Power System Optimization 6
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- Digital Imaging for Blood Diseases 7
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- Microgrid Control and Optimization 6
Mohamed Abdel‐Nasser
77 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Artificial Intelligence 973
- Renewable Energy, Sustainability and the Environment 293
- Radiology, Nuclear Medicine and Imaging 379
- Energy Engineering and Power Technology 46
- Health Informatics 19
Countries citing papers authored by Mohamed Abdel‐Nasser
This map shows the geographic impact of Mohamed Abdel‐Nasser'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 Mohamed Abdel‐Nasser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Abdel‐Nasser more than expected).
Fields of papers citing papers by Mohamed Abdel‐Nasser
This network shows the impact of papers produced by Mohamed Abdel‐Nasser. 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 Mohamed Abdel‐Nasser. The network helps show where Mohamed Abdel‐Nasser may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohamed Abdel‐Nasser, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 43 | |
| 14 | 2022 | 23 | |
| 15 | 2020 | 65 | |
| 16 | 2019 | 45 | |
| 17 | 2019 | 27 | |
| 18 | 2017 | 10 | |
| 19 | 2017 | 10 | |
| 20 | 2016 | 20 |
About Mohamed Abdel‐Nasser
Mohamed Abdel‐Nasser is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Health Informatics and Media Technology, having authored 82 papers that have together received 1.8k indexed citations. Recurring topics across this work include AI in cancer detection (25 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Energy Load and Power Forecasting (11 papers), Optimal Power Flow Distribution (8 papers), Digital Imaging for Blood Diseases (7 papers), Smart Grid Energy Management (7 papers), Microgrid Control and Optimization (6 papers) and Electric Power System Optimization (6 papers). The work is most often cited by research in Artificial Intelligence (973 citations), Renewable Energy, Sustainability and the Environment (293 citations), Radiology, Nuclear Medicine and Imaging (379 citations), Energy Engineering and Power Technology (46 citations) and Health Informatics (19 citations). Mohamed Abdel‐Nasser has collaborated with scholars based in Egypt, Spain and Finland. Frequent co-authors include Karar Mahmoud, Domènec Puig, Antonio Moreno, Hatem A. Rashwan, Vivek Kumar Singh, Matti Lehtonen, Osama A. Omer, Santiago Romaní, Jaime Melendez and Nidhi Pandey. Their work appears in journals such as Electronics, IEEE Access, Neural Computing and Applications, Expert Systems with Applications and Alexandria Engineering Journal.
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.