Mohammad Al-Sa’d
Impact in
- Aerospace Engineering top 5%
- UAV Applications and Optimization
- Radar Systems and Signal Processing
- Advanced SAR Imaging Techniques
- Infrared Target Detection Methodologies
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
Papers in
-
- Fault Detection and Control Systems 2
- Machine Fault Diagnosis Techniques 2
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- Anomaly Detection Techniques and Applications 2
- Wireless Signal Modulation Classification 2
- Co-authors
- Amr Mohamed (3 shared papers)Abdulla Al‐Ali (2 shared papers)Tamer Khattab (2 shared papers)Aiman Erbad (2 shared papers)Mhd Saria Allahham (1 shared paper)B. Boashash (3 shared papers)Moncef Gabbouj (4 shared papers)Abdeldjalil Aïssa El Bey (1 shared paper)
In The Last Decade
Mohammad Al-Sa’d
9 papers receiving 411 citations
Peers
Comparison fields: 5 of 45
- Aerospace Engineering 248
- Computer Vision and Pattern Recognition 143
- Artificial Intelligence 156
- Safety, Risk, Reliability and Quality 43
- Computer Networks and Communications 48
Countries citing papers authored by Mohammad Al-Sa’d
This map shows the geographic impact of Mohammad Al-Sa’d'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 Mohammad Al-Sa’d with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Al-Sa’d more than expected).
Fields of papers citing papers by Mohammad Al-Sa’d
This network shows the impact of papers produced by Mohammad Al-Sa’d. 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 Mohammad Al-Sa’d. The network helps show where Mohammad Al-Sa’d may publish in the future.
Co-authors
The 16 scholars most cited alongside Mohammad Al-Sa’d, 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 | 2019 | 210 | |
| 2 | 2019 | 108 | |
| 3 | 2021 | 35 | |
| 4 | 2018 | 30 | |
| 5 | 2022 | 18 | |
| 6 | 2018 | 11 | |
| 7 | 2024 | 4 | |
| 8 | 2019 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 0 |
About Mohammad Al-Sa’d
Mohammad Al-Sa’d is a scholar working on Control and Systems Engineering, Artificial Intelligence, Biomedical Engineering, Pediatrics, Perinatology and Child Health and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 421 indexed citations. Recurring topics across this work include Neural dynamics and brain function (2 papers), Anomaly Detection Techniques and Applications (2 papers), Wireless Signal Modulation Classification (2 papers), Fault Detection and Control Systems (2 papers), Neonatal and fetal brain pathology (2 papers), Machine Fault Diagnosis Techniques (2 papers), Advanced Electrical Measurement Techniques (1 paper) and Non-Invasive Vital Sign Monitoring (1 paper). The work is most often cited by research in Aerospace Engineering (248 citations), Computer Vision and Pattern Recognition (143 citations), Artificial Intelligence (156 citations), Safety, Risk, Reliability and Quality (43 citations) and Computer Networks and Communications (48 citations). Mohammad Al-Sa’d has collaborated with scholars based in Finland, Qatar and Australia. Frequent co-authors include Amr Mohamed, Abdulla Al‐Ali, Tamer Khattab, Aiman Erbad, Mhd Saria Allahham, B. Boashash, Moncef Gabbouj, Abdeldjalil Aïssa El Bey, Alaa Awad Abdellatif and Serkan Kıranyaz. Their work appears in journals such as Future Generation Computer Systems, Digital Signal Processing, IEEE Access, IEEE Sensors Journal and SoftwareX.
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.