Mohammad Al-Sa’d

10 papers and 264 indexed citations i.

About

Mohammad Al-Sa’d is a scholar working on Control and Systems Engineering, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Mohammad Al-Sa’d has authored 10 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Control and Systems Engineering, 3 papers in Biomedical Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Mohammad Al-Sa’d’s work include Machine Fault Diagnosis Techniques (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Fault Detection and Control Systems (2 papers). Mohammad Al-Sa’d is often cited by papers focused on Machine Fault Diagnosis Techniques (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Fault Detection and Control Systems (2 papers). Mohammad Al-Sa’d collaborates with scholars based in Finland, Qatar and Australia. Mohammad Al-Sa’d's co-authors include Amr Mohamed, Aiman Erbad, Abdulla Al‐Ali, Tamer Khattab, B. Boashash, Moncef Gabbouj, Abdeldjalil Aïssa El Bey, Khaled A. Harras, Alaa Awad Abdellatif and Tarek Elfouly and has published in prestigious journals such as IEEE Transactions on Signal Processing, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Mohammad Al-Sa’d i

Fields of papers citing papers by Mohammad Al-Sa’d

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Mohammad Al-Sa’d

Since Specialization
Citations

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).

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.

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2025