Mohamed R. Al-Mulla

641 total citations
23 papers, 483 citations indexed

About

Mohamed R. Al-Mulla is a scholar working on Biomedical Engineering, Artificial Intelligence and Orthopedics and Sports Medicine. According to data from OpenAlex, Mohamed R. Al-Mulla has authored 23 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 6 papers in Artificial Intelligence and 5 papers in Orthopedics and Sports Medicine. Recurrent topics in Mohamed R. Al-Mulla's work include Muscle activation and electromyography studies (14 papers), Advanced Sensor and Energy Harvesting Materials (12 papers) and Sports Performance and Training (5 papers). Mohamed R. Al-Mulla is often cited by papers focused on Muscle activation and electromyography studies (14 papers), Advanced Sensor and Energy Harvesting Materials (12 papers) and Sports Performance and Training (5 papers). Mohamed R. Al-Mulla collaborates with scholars based in Kuwait, United Kingdom and Lebanon. Mohamed R. Al-Mulla's co-authors include Francisco Sepúlveda, Martin Colley, Hamdi Yahyaoui, Fahd Al‐Mulla, Ahmed Kattan, Ziyad S. Haidar, Makia J. Marafie, Nadine Jalkh, Hamad Ali and Éliane Chouery and has published in prestigious journals such as Sensors, Knowledge-Based Systems and Future Generation Computer Systems.

In The Last Decade

Mohamed R. Al-Mulla

21 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed R. Al-Mulla Kuwait 10 336 110 104 51 50 23 483
Dawn MacIsaac Canada 12 447 1.3× 78 0.7× 247 2.4× 19 0.4× 25 0.5× 30 542
M. Manca Italy 12 136 0.4× 30 0.3× 38 0.4× 30 0.6× 7 0.1× 35 533
H.M. Franken Netherlands 12 190 0.6× 14 0.1× 59 0.6× 71 1.4× 6 0.1× 40 359
Rui Wu China 11 88 0.3× 85 0.8× 25 0.2× 230 4.5× 3 0.1× 42 616
Matthieu Martin France 8 69 0.2× 45 0.4× 79 0.8× 188 3.7× 3 0.1× 14 364
Wassim El Falou Lebanon 9 34 0.1× 66 0.6× 164 1.6× 8 0.2× 93 1.9× 18 404
Amine Naït‐Ali France 12 151 0.4× 4 0.0× 151 1.5× 44 0.9× 12 0.2× 67 480
Doug Rogers Australia 10 72 0.2× 55 0.5× 91 0.9× 66 1.3× 45 0.9× 33 437
Jyrki Rasku Finland 14 99 0.3× 32 0.3× 49 0.5× 25 0.5× 3 0.1× 29 522
Srinivasan Jayaraman India 13 115 0.3× 7 0.1× 127 1.2× 13 0.3× 82 1.6× 25 463

Countries citing papers authored by Mohamed R. Al-Mulla

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed R. Al-Mulla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed R. Al-Mulla. 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 R. Al-Mulla. The network helps show where Mohamed R. Al-Mulla may publish in the future.

Co-authorship network of co-authors of Mohamed R. Al-Mulla

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed R. Al-Mulla. A scholar is included among the top collaborators of Mohamed R. Al-Mulla 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 Mohamed R. Al-Mulla. Mohamed R. Al-Mulla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yahyaoui, Hamdi, et al.. (2021). Measuring Semantic Similarity between Services Using Hypergraphs. 7. 205–211. 2 indexed citations
2.
Yahyaoui, Hamdi, et al.. (2020). Specification and Recognition of Service Trust Behaviors. Kuwait Journal of Science. 47(1). 6 indexed citations
4.
Al-Mulla, Mohamed R. & Francisco Sepúlveda. (2018). Separation of Fatigue Content in sEMG Signals Using High Definition Electrodes. 261–265. 1 indexed citations
5.
Al-Mulla, Mohamed R., et al.. (2017). Effects of Array Electrode Placement on Identifying Localised Muscle Fatigue. 4(3). 1 indexed citations
6.
Jalkh, Nadine, Éliane Chouery, Ziyad S. Haidar, et al.. (2017). Next-generation sequencing in familial breast cancer patients from Lebanon. BMC Medical Genomics. 10(1). 8–8. 31 indexed citations
7.
Yahyaoui, Hamdi, et al.. (2017). A new framework for the verification of service trust behaviors. Knowledge-Based Systems. 121. 7–22. 10 indexed citations
9.
Al-Mulla, Mohamed R. & Francisco Sepúlveda. (2014). Super Wavelet for sEMG Signal Extraction During Dynamic Fatiguing Contractions. Journal of Medical Systems. 39(1). 167–167. 8 indexed citations
10.
Yahyaoui, Hamdi, et al.. (2014). A novel non-functional matchmaking approach between fuzzy user queries and real world web services based on rough sets. Future Generation Computer Systems. 35. 27–38. 5 indexed citations
11.
Yahyaoui, Hamdi, Azzam Mourad, Mohamed R. Al-Mulla, Lina Yao, & Quan Z. Sheng. (2012). A synergy between context-aware policies and AOP to achieve highly adaptable Web services. Service Oriented Computing and Applications. 6(4). 379–392. 6 indexed citations
13.
Al-Mulla, Mohamed R., Francisco Sepúlveda, & Martin Colley. (2011). A Review of Non-Invasive Techniques to Detect and Predict Localised Muscle Fatigue. Sensors. 11(4). 3545–3594. 221 indexed citations
14.
Al-Mulla, Mohamed R., et al.. (2011). A QoS-Based Fuzzy Model for Ranking Real World Web Services. 203–210. 32 indexed citations
15.
Al-Mulla, Mohamed R. & Francisco Sepúlveda. (2010). Novel Feature Modelling the Prediction and Detection of sEMG Muscle Fatigue towards an Automated Wearable System. Sensors. 10(5). 4838–4854. 26 indexed citations
16.
Al-Mulla, Mohamed R. & Francisco Sepúlveda. (2010). A Novel Feature Assisting in the Prediction of sEMG muscle fatigue towards a wearable autonomous system. 30. 1–6. 11 indexed citations
17.
Al-Mulla, Mohamed R. & Francisco Sepúlveda. (2010). Predicting the time to localized muscle fatigue using ANN and evolved sEMG feature. 20. 1–6. 8 indexed citations
18.
Al-Mulla, Mohamed R., Francisco Sepúlveda, Martin Colley, & Ahmed Kattan. (2009). Classification of localized muscle fatigue with genetic programming on sEMG during isometric contraction. PubMed. 2009. 2633–2638. 23 indexed citations
19.
Al-Mulla, Mohamed R., Francisco Sepúlveda, Martin Colley, & Fahd Al‐Mulla. (2009). Statistical Class Separation Using sEMG Features Towards Automated Muscle Fatigue Detection and Prediction. 1–5. 27 indexed citations
20.
Al-Mulla, Mohamed R. & Monroe Newborn. (1996). The practicality of generating semantic trees for proofs of unsatisfiability. International Journal of Computer Mathematics. 62(1-2). 45–61.

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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