Mohammad Al‐Shabi

2.7k total citations
176 papers, 1.7k citations indexed

About

Mohammad Al‐Shabi is a scholar working on Control and Systems Engineering, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Mohammad Al‐Shabi has authored 176 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Control and Systems Engineering, 51 papers in Artificial Intelligence and 31 papers in Aerospace Engineering. Recurrent topics in Mohammad Al‐Shabi's work include Target Tracking and Data Fusion in Sensor Networks (39 papers), Fault Detection and Control Systems (32 papers) and Adaptive Control of Nonlinear Systems (15 papers). Mohammad Al‐Shabi is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (39 papers), Fault Detection and Control Systems (32 papers) and Adaptive Control of Nonlinear Systems (15 papers). Mohammad Al‐Shabi collaborates with scholars based in United Arab Emirates, Canada and United States. Mohammad Al‐Shabi's co-authors include S. Andrew Gadsden, A. Elnady, Mamdouh El Haj Assad, Saeid Habibi, M.A. Ehyaei, Ali Ahmed Adam Ismail, Abolfazl Ahmadi, D.H. Jamali, Maâmar Bettayeb and Nsilulu T. Mbungu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

Mohammad Al‐Shabi

152 papers receiving 1.6k 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 Al‐Shabi United Arab Emirates 19 568 425 419 369 252 176 1.7k
N.K. M’Sirdi France 20 753 1.3× 124 0.3× 341 0.8× 417 1.1× 169 0.7× 127 1.5k
Mohammad Hasan Shaheed United Kingdom 24 765 1.3× 165 0.4× 215 0.5× 249 0.7× 125 0.5× 75 1.5k
Alberto Pliego Marugán Spain 15 338 0.6× 274 0.6× 198 0.5× 426 1.2× 216 0.9× 27 1.3k
Jinkyoo Park South Korea 21 313 0.6× 273 0.6× 237 0.6× 660 1.8× 511 2.0× 65 1.6k
Minghui Zheng United States 22 703 1.2× 196 0.5× 225 0.5× 416 1.1× 112 0.4× 112 1.5k
Sameer Al‐Dahidi Jordan 26 207 0.4× 561 1.3× 359 0.9× 617 1.7× 72 0.3× 100 1.8k
Martin Kozek Austria 22 837 1.5× 75 0.2× 499 1.2× 597 1.6× 176 0.7× 161 1.9k
Abdelhamid Rabhi France 23 792 1.4× 350 0.8× 252 0.6× 593 1.6× 103 0.4× 170 1.8k
Dengji Zhou China 21 498 0.9× 94 0.2× 316 0.8× 407 1.1× 205 0.8× 93 1.5k
Benoît Boulet Canada 24 780 1.4× 196 0.5× 348 0.8× 911 2.5× 128 0.5× 168 2.2k

Countries citing papers authored by Mohammad Al‐Shabi

Since Specialization
Citations

This map shows the geographic impact of Mohammad Al‐Shabi'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‐Shabi 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‐Shabi more than expected).

Fields of papers citing papers by Mohammad Al‐Shabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Al‐Shabi

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Al‐Shabi. A scholar is included among the top collaborators of Mohammad Al‐Shabi 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 Al‐Shabi. Mohammad Al‐Shabi 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.
Gadsden, S. Andrew, et al.. (2024). Object Detection and Tracking with YOLO and the Sliding Innovation Filter. Sensors. 24(7). 2107–2107. 7 indexed citations
2.
Bani-Hani, Ehab, Mamdouh El Haj Assad, Mohammad Al‐Shabi, et al.. (2024). Optimization of adiabatic flame temperature of natural gas combustion under different conditions. Environmental Progress & Sustainable Energy. 43(3).
3.
4.
Bonny, Talal, et al.. (2024). Malaria detection using machine learning. 4–4. 2 indexed citations
5.
Bonny, Talal, et al.. (2024). Chaos-based encryption system of DICOM medical images. 15–15. 1 indexed citations
6.
Al‐Shabi, Mohammad, et al.. (2024). Path planning for a UGV using Salp Swarm Algorithm. MacSphere (McMaster University). 18–18. 2 indexed citations
7.
Obaideen, Khaled, Talal Bonny, & Mohammad Al‐Shabi. (2024). Charting the rise of ONNX in swift image processing: a publications exploration. 10. 23–23.
8.
Al‐Shabi, Mohammad, et al.. (2024). A comparative study: fuzzy logic and ANN in addressing inverse depletion. 60–60. 1 indexed citations
9.
Rahman, Syed Azizur, Khaled Obaideen, Mohammad Al‐Shabi, & Nabeel Al‐Yateem. (2024). Enhancing Mental Health Care with the Kalman Filter: Predictions, Monitoring, and Personalization. 1872–1876.
10.
Gadsden, S. Andrew, et al.. (2023). Lithium-Ion Battery Health Estimation Using an Adaptive Dual Interacting Model Algorithm for Electric Vehicles. Applied Sciences. 13(2). 1132–1132. 16 indexed citations
11.
Lee, Andrew, Waleed Hilal, S. Andrew Gadsden, & Mohammad Al‐Shabi. (2023). Combined Kalman and sliding innovation filtering: An adaptive estimation strategy. Measurement. 218. 113228–113228. 16 indexed citations
12.
Al‐Shabi, Mohammad, et al.. (2023). Modelling and simulation of a prismatic: prismatic robotic arm manipulator. 5–5. 2 indexed citations
13.
Mbungu, Nsilulu T., Ali Ahmed Adam Ismail, Mohammad Al‐Shabi, et al.. (2023). Control and estimation techniques applied to smart microgrids: A review. Renewable and Sustainable Energy Reviews. 179. 113251–113251. 67 indexed citations
14.
Hilal, Waleed, et al.. (2023). An adaptive SIF and KF estimation strategy for fault detection based on the NIS metric. MacSphere (McMaster University). 26–26.
15.
Al‐Shabi, Mohammad, et al.. (2023). Applications of autonomous rover for radiometric surveillance. 16–16.
16.
Al‐Shabi, Mohammad, Talal Bonny, & S. Andrew Gadsden. (2023). FPGA to study the behavior of a maneuvering UGV using sliding innovation filter. MacSphere (McMaster University). 2 indexed citations
17.
Al‐Shabi, Mohammad, et al.. (2023). Sliding innovation filter for micorgrid application. MacSphere (McMaster University). 2 indexed citations
18.
Gadsden, S. Andrew, et al.. (2023). Interacting Multiple Model Estimators for Fault Detection in a Magnetorheological Damper. Sensors. 24(1). 251–251. 4 indexed citations
19.
Lee, Andrew, S. Andrew Gadsden, Stephen Wilkerson, & Mohammad Al‐Shabi. (2023). AN ADAPTIVE FORMULATION OF THE SMOOTH VARIABLE STRUCTURE FILTER BASED ON STATIC MULTIPLE MODELS, 1-10.. International Journal of Robotics and Automation. 38(10). 1 indexed citations
20.
Al‐Shabi, Mohammad, S. Andrew Gadsden, & Saeid Habibi. (2013). The Toeplitz-observability smooth variable structure filter. MacSphere (McMaster University). 1–6. 6 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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