M.A. Abo-Elsoud
Impact in
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- Artificial Intelligence in Healthcare
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Face and Expression Recognition 6
- Digital Imaging for Blood Diseases 4
- Video Surveillance and Tracking Methods 3
- Image and Video Stabilization 2
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- Neural Networks and Applications 6
- Anomaly Detection Techniques and Applications 4
- Co-authors
- Warda M. Shaban (3 shared papers)Ahmed I. Saleh (4 shared papers)Asmaa H. Rabie (4 shared papers)Hazem M. El‐Bakry (8 shared papers)Mohamed S. Kamel (6 shared papers)Marwa Obayya (2 shared papers)Ahmed Y. Hatata (1 shared paper)Abdelrahman Taha (1 shared paper)
In The Last Decade
M.A. Abo-Elsoud
17 papers receiving 322 citations
Peers
Comparison fields: 5 of 86
- Health Information Management 39
- Radiology, Nuclear Medicine and Imaging 160
- Modeling and Simulation 30
- Health Informatics 8
- Artificial Intelligence 167
Countries citing papers authored by M.A. Abo-Elsoud
This map shows the geographic impact of M.A. Abo-Elsoud'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 M.A. Abo-Elsoud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.A. Abo-Elsoud more than expected).
Fields of papers citing papers by M.A. Abo-Elsoud
This network shows the impact of papers produced by M.A. Abo-Elsoud. 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 M.A. Abo-Elsoud. The network helps show where M.A. Abo-Elsoud may publish in the future.
Co-authors
The 11 scholars most cited alongside M.A. Abo-Elsoud, 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 | 2020 | 170 | |
| 2 | 2020 | 85 | |
| 3 | 2021 | 43 | |
| 4 | 2022 | 7 | |
| 5 | Modeling and Simulation of Hybrid Concentrated Photovoltaic/Thermal System | 2015 | 6 |
| 6 | 2000 | 6 | |
| 7 | 2023 | 3 | |
| 8 | 2021 | 3 | |
| 9 | 2002 | 3 | |
| 10 | 2002 | 2 | |
| 11 | 2000 | 2 | |
| 12 | 2002 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2003 | 1 | |
| 15 | 2002 | 1 | |
| 16 | 2000 | 1 | |
| 17 | 2002 | 1 | |
| 18 | 2003 | 0 | |
| 19 | 2002 | 0 |
About M.A. Abo-Elsoud
M.A. Abo-Elsoud is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Signal Processing and Electrical and Electronic Engineering, having authored 19 papers that have together received 337 indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Neural Networks and Applications (6 papers), COVID-19 diagnosis using AI (5 papers), Digital Imaging for Blood Diseases (4 papers), Anomaly Detection Techniques and Applications (4 papers), Video Surveillance and Tracking Methods (3 papers), Video Coding and Compression Technologies (2 papers) and Image and Video Stabilization (2 papers). The work is most often cited by research in Health Information Management (39 citations), Radiology, Nuclear Medicine and Imaging (160 citations), Modeling and Simulation (30 citations), Health Informatics (8 citations) and Artificial Intelligence (167 citations). M.A. Abo-Elsoud has collaborated with scholars based in Egypt and Canada. Frequent co-authors include Warda M. Shaban, Ahmed I. Saleh, Asmaa H. Rabie, Hazem M. El‐Bakry, Mohamed S. Kamel, Marwa Obayya, Ahmed Y. Hatata, Abdelrahman Taha, Hanan M. Amer and H.A. El-Mikati. Their work appears in journals such as Knowledge-Based Systems, Neural Computing and Applications, IEEE Access, Pattern Recognition and Applied Soft Computing.
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.