Mohammad Moshawrab

451 total citations
10 papers, 245 citations indexed

About

Mohammad Moshawrab is a scholar working on Artificial Intelligence, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mohammad Moshawrab has authored 10 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Biomedical Engineering and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mohammad Moshawrab's work include Privacy-Preserving Technologies in Data (5 papers), Non-Invasive Vital Sign Monitoring (4 papers) and ECG Monitoring and Analysis (3 papers). Mohammad Moshawrab is often cited by papers focused on Privacy-Preserving Technologies in Data (5 papers), Non-Invasive Vital Sign Monitoring (4 papers) and ECG Monitoring and Analysis (3 papers). Mohammad Moshawrab collaborates with scholars based in Canada and Lebanon. Mohammad Moshawrab's co-authors include Abdenour Bouzouane, Hussein Ibrahim, Mehdi Adda and Ali Raad and has published in prestigious journals such as Sensors, Electronics and Cybersecurity.

In The Last Decade

Mohammad Moshawrab

8 papers receiving 234 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohammad Moshawrab Canada 6 114 40 39 35 29 10 245
Ali Raad Lebanon 6 114 1.0× 40 1.0× 40 1.0× 35 1.0× 29 1.0× 14 251
Mahsa Rezaei Iran 4 109 1.0× 60 1.5× 22 0.6× 29 0.8× 10 0.3× 6 309
Osama R. Shahin Saudi Arabia 11 87 0.8× 54 1.4× 19 0.5× 26 0.7× 16 0.6× 31 270
David A. Mong United States 5 89 0.8× 58 1.4× 20 0.5× 12 0.3× 9 0.3× 11 232
Abdullah M. Albarrak Saudi Arabia 7 71 0.6× 20 0.5× 14 0.4× 50 1.4× 20 0.7× 22 194
Farida Sabry Qatar 5 69 0.6× 16 0.4× 73 1.9× 15 0.4× 26 0.9× 8 270
Samir Abdelrazek Egypt 8 133 1.2× 99 2.5× 57 1.5× 62 1.8× 23 0.8× 15 356
Abdulkader Helwan Cyprus 10 132 1.2× 94 2.4× 39 1.0× 33 0.9× 14 0.5× 22 330
Ritika Mehra India 7 67 0.6× 22 0.6× 17 0.4× 62 1.8× 26 0.9× 22 231
A. V. L. N. Sujith India 4 37 0.3× 25 0.6× 26 0.7× 24 0.7× 12 0.4× 11 192

Countries citing papers authored by Mohammad Moshawrab

Since Specialization
Citations

This map shows the geographic impact of Mohammad Moshawrab'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 Moshawrab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Moshawrab more than expected).

Fields of papers citing papers by Mohammad Moshawrab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Moshawrab. 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 Moshawrab. The network helps show where Mohammad Moshawrab may publish in the future.

Co-authorship network of co-authors of Mohammad Moshawrab

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Moshawrab. A scholar is included among the top collaborators of Mohammad Moshawrab based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammad Moshawrab. Mohammad Moshawrab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Moshawrab, Mohammad, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim, & Ali Raad. (2025). HP_FLAP: homomorphic and polymorphic federated learning aggregation of parameters framework. Cybersecurity. 8(1).
2.
Moshawrab, Mohammad, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim, & Ali Raad. (2024). Securing Federated Learning: Approaches, Mechanisms and Opportunities. Electronics. 13(18). 3675–3675. 3 indexed citations
3.
Moshawrab, Mohammad, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim, & Ali Raad. (2023). Reviewing Federated Machine Learning and Its Use in Diseases Prediction. Sensors. 23(4). 2112–2112. 54 indexed citations
4.
Moshawrab, Mohammad, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim, & Ali Raad. (2023). Reviewing Multimodal Machine Learning and Its Use in Cardiovascular Diseases Detection. Electronics. 12(7). 1558–1558. 27 indexed citations
5.
Moshawrab, Mohammad, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim, & Ali Raad. (2023). Smart Wearables for the Detection of Cardiovascular Diseases: A Systematic Literature Review. Sensors. 23(2). 828–828. 60 indexed citations
6.
Moshawrab, Mohammad, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim, & Ali Raad. (2023). Reviewing Federated Learning Aggregation Algorithms; Strategies, Contributions, Limitations and Future Perspectives. Electronics. 12(10). 2287–2287. 59 indexed citations
7.
Moshawrab, Mohammad, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim, & Ali Raad. (2023). PolyFLAG_SVM: a Polymorphic Federated Learning Aggregation of Gradients Support Vector Machines Framework. Procedia Computer Science. 224. 139–146. 1 indexed citations
8.
Moshawrab, Mohammad, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim, & Ali Raad. (2022). Cardiovascular Events Prediction using Artificial Intelligence Models and Heart Rate Variability. Procedia Computer Science. 203. 231–238. 20 indexed citations
9.
Moshawrab, Mohammad, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim, & Ali Raad. (2022). Smart Wearables for the Detection of Occupational Physical Fatigue: A Literature Review. Sensors. 22(19). 7472–7472. 21 indexed citations
10.
Moshawrab, Mohammad, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim, & Ali Raad. (2022). Machine Learning Models to Predict Cardiovascular Events from Heart Rate Variability Data. 82–87.

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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