Mutaz Ryalat

733 total citations · 1 hit paper
35 papers, 454 citations indexed

About

Mutaz Ryalat is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mutaz Ryalat has authored 35 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 6 papers in Biomedical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mutaz Ryalat's work include Control and Stability of Dynamical Systems (10 papers), Adaptive Control of Nonlinear Systems (5 papers) and Dynamics and Control of Mechanical Systems (4 papers). Mutaz Ryalat is often cited by papers focused on Control and Stability of Dynamical Systems (10 papers), Adaptive Control of Nonlinear Systems (5 papers) and Dynamics and Control of Mechanical Systems (4 papers). Mutaz Ryalat collaborates with scholars based in Jordan, United Kingdom and Germany. Mutaz Ryalat's co-authors include Hisham ElMoaqet, Dina Shona Laila, Thomas Penzel, Martin Glos, Jungyoon Kim, Enrico Franco, Dawn M. Tilbury, Satya Krishna Ramachandran, Chao‐Hsien Chu and Nassir Navab and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Mutaz Ryalat

26 papers receiving 428 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Design of a Smart Factory Based on Cyber-Physical Systems and Internet of Things towards Industry 4.0

2023 111 citations Mutaz Ryalat, Hisham ElMoaqet et al. Applied Sciences profile →

Peers

Mutaz Ryalat

CSE

IME

PHYSI

BE

CN

Hisham ElMoaqet Jordan

Joonki Hong South Korea

David Balderas Mexico

Shah Ahsanul Haque Bangladesh

Bo Fu United States

Wojciech M. Kempa Poland

Francisco Airton Silva Brazil

Chathurika S. Wickramasinghe United States

Phan Duy Hung Vietnam

Hisham ElMoaqet Jordan

Mutaz Ryalat

73 ×0.4

CSE

88 ×1.0

IME

102 ×1.3

PHYSI

88 ×1.3

BE

54 ×1.2

CN

Citations per year, relative to Mutaz Ryalat Mutaz Ryalat (= 1×) peers Hisham ElMoaqet

Countries citing papers authored by Mutaz Ryalat

Since Specialization

Citations

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

Fields of papers citing papers by Mutaz Ryalat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mutaz Ryalat

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

ElMoaqet, Hisham, et al.. (2025). Deep Learning Architectures for Single-Label and Multi-Label Surgical Tool Classification in Minimally Invasive Surgeries. Applied Sciences. 15(11). 6121–6121.

2.

Sutton, M. R., et al.. (2025). PLC-Controlled Intelligent Conveyor System with AI-Enhanced Vision for Efficient Waste Sorting. Applied Sciences. 15(3). 1550–1550.

3.

Ryalat, Mutaz, et al.. (2025). Research and Education in Robotics: A Comprehensive Review, Trends, Challenges, and Future Directions. Journal of Sensor and Actuator Networks. 14(4). 76–76.

4.

Ryalat, Mutaz, et al.. (2025). Design of a ROS2-Based Hybrid Aerial-Ground Robot for Autonomous Inspection Applications. IEEE Access. 13. 109274–109293.

5.

ElMoaqet, Hisham, et al.. (2025). Surface Classification from Robot Internal Measurement Unit Time-Series Data Using Cascaded and Parallel Deep Learning Fusion Models. Machines. 13(3). 251–251.

6.

Ryalat, Mutaz. (2025). Smart additive manufacturing: An IoT-driven framework for predictive failure detection and sustainable operation. 200264–200264.

7.

Franco, Enrico & Mutaz Ryalat. (2025). Position‐Feedback Integral IDA‐PBC for Constant Matched and Unmatched Disturbances. International Journal of Robust and Nonlinear Control. 35(9). 3623–3639. 1 indexed citations

8.

ElMoaqet, Hisham, et al.. (2025). Using Masked Image Modelling Transformer Architecture for Laparoscopic Surgical Tool Classification and Localization. Sensors. 25(10). 3017–3017. 2 indexed citations

9.

Ryalat, Mutaz, et al.. (2024). The Integration of Advanced Mechatronic Systems into Industry 4.0 for Smart Manufacturing. Sustainability. 16(19). 8504–8504. 15 indexed citations

10.

Ryalat, Mutaz, et al.. (2024). The Integration of Two Smarts in the Era of Industry 4.0: Smart Factory and Smart City. 9–12. 1 indexed citations

11.

Ryalat, Mutaz, et al.. (2024). AI-Driven Mobile App for Personalized Health Monitoring. 338–342. 1 indexed citations

12.

ElMoaqet, Hisham, et al.. (2024). Recyclable Waste Categorization with Transfer Learning. 343–348. 2 indexed citations

13.

Franco, Enrico & Mutaz Ryalat. (2024). IDA-PBC with Dynamic Extension for Momenta Observation of Underactuated Mechanical Systems. 126–131. 1 indexed citations

14.

ElMoaqet, Hisham, et al.. (2023). A CNN-BiLSTM Deep Learning Model for Automatic Scoring of EEG Signals. SHILAP Revista de lepidopterología. 9(1). 642–645. 2 indexed citations

15.

Ryalat, Mutaz, et al.. (2023). Design of a Smart Factory Based on Cyber-Physical Systems and Internet of Things towards Industry 4.0. Applied Sciences. 13(4). 2156–2156. 111 indexed citations breakdown →

16.

Ryalat, Mutaz, et al.. (2023). Mechatronics Design and Implementation of a Smart Plastic Injection Moulding Machine. 352–357. 1 indexed citations

17.

ElMoaqet, Hisham, Jungyoon Kim, Dawn M. Tilbury, et al.. (2020). Gaussian Mixture Models for Detecting Sleep Apnea Events Using Single Oronasal Airflow Record. Applied Sciences. 10(21). 7889–7889. 23 indexed citations

18.

Ryalat, Mutaz, Dina Shona Laila, & Hisham ElMoaqet. (2020). Adaptive Interconnection and Damping Assignment Passivity Based Control for Underactuated Mechanical Systems. International Journal of Control Automation and Systems. 19(2). 864–877. 15 indexed citations

19.

ElMoaqet, Hisham, et al.. (2018). Design and Integration of an IoT Device for Training Purposes of Industry 4.0. 1–5. 7 indexed citations

20.

Ryalat, Mutaz & Dina Shona Laila. (2013). IDA-PBC for a class of underactuated mechanical systems with application to a rotary inverted pendulum. Pure (Coventry University). 5240–5245. 9 indexed citations

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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