Mohammad Al-Sharman

484 total citations
16 papers, 332 citations indexed

About

Mohammad Al-Sharman is a scholar working on Control and Systems Engineering, Aerospace Engineering and Automotive Engineering. According to data from OpenAlex, Mohammad Al-Sharman has authored 16 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 8 papers in Aerospace Engineering and 6 papers in Automotive Engineering. Recurrent topics in Mohammad Al-Sharman's work include Inertial Sensor and Navigation (8 papers), Adaptive Control of Nonlinear Systems (7 papers) and Autonomous Vehicle Technology and Safety (5 papers). Mohammad Al-Sharman is often cited by papers focused on Inertial Sensor and Navigation (8 papers), Adaptive Control of Nonlinear Systems (7 papers) and Autonomous Vehicle Technology and Safety (5 papers). Mohammad Al-Sharman collaborates with scholars based in United Arab Emirates, Canada and United Kingdom. Mohammad Al-Sharman's co-authors include Yahya Zweiri, Mohammad A. Jaradat, Derek Rayside, William Melek, Lakmal Seneviratne, Dongming Gan, Mamoun F. Abdel–Hafez, Dimitrios Makris, Dongpu Cao and Chen Lv and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Cybernetics and Journal of the Franklin Institute.

In The Last Decade

Mohammad Al-Sharman

15 papers receiving 314 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-Sharman United Arab Emirates 8 111 104 89 76 75 16 332
Jonay Toledo Spain 12 92 0.8× 148 1.4× 59 0.7× 135 1.8× 64 0.9× 47 363
Pablo Marín Spain 12 89 0.8× 115 1.1× 112 1.3× 203 2.7× 129 1.7× 32 405
Dongshu Wang China 10 129 1.2× 81 0.8× 114 1.3× 170 2.2× 31 0.4× 56 397
Ransalu Senanayake United States 12 93 0.8× 70 0.7× 121 1.4× 130 1.7× 110 1.5× 37 423
Nenad S. Jovicic Serbia 7 60 0.5× 64 0.6× 65 0.7× 118 1.6× 124 1.7× 12 374
Xiaolei Hou China 11 111 1.0× 141 1.4× 53 0.6× 125 1.6× 44 0.6× 50 422
Jinna Hu China 8 50 0.5× 79 0.8× 63 0.7× 42 0.6× 63 0.8× 15 480
Enrique Santiso Spain 12 102 0.9× 94 0.9× 56 0.6× 127 1.7× 28 0.4× 40 414
Dong-Sung Pae South Korea 8 52 0.5× 57 0.5× 36 0.4× 129 1.7× 76 1.0× 31 284
Ana I. Maqueda Spain 5 71 0.6× 186 1.8× 86 1.0× 343 4.5× 41 0.5× 7 499

Countries citing papers authored by Mohammad Al-Sharman

Since Specialization
Citations

This map shows the geographic impact of Mohammad Al-Sharman'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-Sharman 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-Sharman more than expected).

Fields of papers citing papers by Mohammad Al-Sharman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Al-Sharman

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

All Works

16 of 16 papers shown
1.
Al-Sharman, Mohammad, et al.. (2025). Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions. IEEE Transactions on Automation Science and Engineering. 23. 1434–1461.
2.
Li, Quanquan, et al.. (2024). RALACs: Action Recognition in Autonomous Vehicles Using Interaction Encoding and Optical Flow. IEEE Transactions on Cybernetics. 55(2). 512–525. 2 indexed citations
3.
Al-Sharman, Mohammad, et al.. (2023). Self-Learned Autonomous Driving at Unsignalized Intersections: A Hierarchical Reinforced Learning Approach for Feasible Decision-Making. IEEE Transactions on Intelligent Transportation Systems. 24(11). 12345–12356. 38 indexed citations
4.
5.
Ethier, Martin, et al.. (2022). Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving. 2022 IEEE Intelligent Vehicles Symposium (IV). 457–463. 19 indexed citations
6.
Al-Sharman, Mohammad, et al.. (2022). DRG: A Dynamic Relation Graph for Unified Prior-Online Environment Modeling in Urban Autonomous Driving. 2022 International Conference on Robotics and Automation (ICRA). 8054–8060. 5 indexed citations
7.
Al-Sharman, Mohammad, D. A. Murdoch, Dongpu Cao, et al.. (2021). A sensorless state estimation for a safety-oriented cyber-physical system in urban driving: Deep learning approach. IEEE/CAA Journal of Automatica Sinica. 8(1). 169–178. 46 indexed citations
8.
Al-Sharman, Mohammad, et al.. (2019). A Novel Dynamic-Vision-Based Approach for Tactile Sensing Applications. IEEE Transactions on Instrumentation and Measurement. 69(5). 1881–1893. 70 indexed citations
9.
Al-Sharman, Mohammad, et al.. (2019). Deep-Learning-Based Neural Network Training for State Estimation Enhancement: Application to Attitude Estimation. IEEE Transactions on Instrumentation and Measurement. 69(1). 24–34. 77 indexed citations
10.
Al-Sharman, Mohammad, Mohammad Al‐Jarrah, & Mamoun F. Abdel–Hafez. (2018). Auto Takeoff and Precision Terminal-Phase Landing Using an Experimental Optical Flow Model for Global Positioning System/Inertial Navigation System Enhancement. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering. 5(1). 6 indexed citations
11.
Al-Sharman, Mohammad, et al.. (2018). Precision landing using an adaptive fuzzy multi-sensor data fusion architecture. Applied Soft Computing. 69. 149–164. 33 indexed citations
12.
Al-Sharman, Mohammad, Mohammad A. Jaradat, & Mamoun F. Abdel–Hafez. (2018). Intelligent attitude and flapping angles estimation of flybarless helicopters under near-hover conditions. Journal of the Franklin Institute. 355(14). 6830–6858. 3 indexed citations
13.
Al-Sharman, Mohammad. (2016). Attitude Estimation for a Small-Scale Flybarless Helicopter. CINECA IRIS Institutial research information system (University of Pisa). 4 indexed citations
14.
Al-Sharman, Mohammad, et al.. (2015). Flybarless helicopter autopilot rapid prototyping using hardware in the loop simulation. 1–10. 3 indexed citations
15.
Al-Sharman, Mohammad, et al.. (2014). State Estimation for a Small Scale Flybar-less Helicopter. Procedia Technology. 15. 258–267. 7 indexed citations
16.
Al-Sharman, Mohammad, et al.. (2014). Attitude and Flapping Angles Estimation for a Small-Scale Flybarless Helicopter Using a Kalman Filter. IEEE Sensors Journal. 15(4). 2114–2122. 14 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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