Mohammad Ali

652 total citations
27 papers, 498 citations indexed

About

Mohammad Ali is a scholar working on Automotive Engineering, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Mohammad Ali has authored 27 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Automotive Engineering, 10 papers in Control and Systems Engineering and 4 papers in Computational Theory and Mathematics. Recurrent topics in Mohammad Ali's work include Autonomous Vehicle Technology and Safety (16 papers), Vehicle Dynamics and Control Systems (13 papers) and Real-time simulation and control systems (6 papers). Mohammad Ali is often cited by papers focused on Autonomous Vehicle Technology and Safety (16 papers), Vehicle Dynamics and Control Systems (13 papers) and Real-time simulation and control systems (6 papers). Mohammad Ali collaborates with scholars based in Sweden, United States and Bangladesh. Mohammad Ali's co-authors include Paolo Falcone, Jonas Sjöberg, Julia Nilsson, Francesco Borrelli, Yiqi Gao, J. Karl Hedrick, Andrew Gray, Swakkhar Shatabda, Mario Zanon and Jonas Fredriksson and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Mohammad Ali

27 papers receiving 478 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 Ali Sweden 11 375 282 115 48 44 27 498
Shilp Dixit United Kingdom 9 437 1.2× 373 1.3× 172 1.5× 31 0.6× 76 1.7× 13 597
Abdelkader El Kamel France 12 232 0.6× 298 1.1× 48 0.4× 47 1.0× 70 1.6× 32 468
Ömer Şahin Taş Germany 9 255 0.7× 181 0.6× 124 1.1× 33 0.7× 73 1.7× 16 371
Gabriel Rodrigues de Campos Sweden 13 515 1.4× 455 1.6× 90 0.8× 51 1.1× 161 3.7× 28 707
Bilin Aksun‐Güvenç United States 14 463 1.2× 482 1.7× 81 0.7× 16 0.3× 174 4.0× 28 667
Rodolfo Orjuela France 12 359 1.0× 404 1.4× 122 1.1× 45 0.9× 14 0.3× 44 577
Michal Weiszer United Kingdom 14 125 0.3× 179 0.6× 27 0.2× 29 0.6× 27 0.6× 32 522
Haojie Zhu China 5 223 0.6× 119 0.4× 56 0.5× 101 2.1× 55 1.3× 10 385
Bassam Alrifaee Germany 11 155 0.4× 172 0.6× 114 1.0× 40 0.8× 68 1.5× 46 352
Shengyin Shen United States 9 262 0.7× 199 0.7× 62 0.5× 104 2.2× 68 1.5× 13 497

Countries citing papers authored by Mohammad Ali

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Ali. A scholar is included among the top collaborators of Mohammad Ali 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 Ali. Mohammad Ali 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.
Ali, Mohammad & Swakkhar Shatabda. (2020). A Data Selection Methodology to Train Linear Regression Model to Predict Bitcoin Price. 21 indexed citations
2.
Zanon, Mario, et al.. (2019). Real-time constrained trajectory planning and vehicle control for proactive autonomous driving with road users. Iris Unimore (University of Modena and Reggio Emilia). 36 indexed citations
3.
Jansson, Anton, et al.. (2018). Learning Negotiating Behavior Between Cars in Intersections using Deep Q-Learning. Chalmers Research (Chalmers University of Technology). 3169–3174. 30 indexed citations
4.
Ali, Mohammad, et al.. (2018). Energy Efficient Five Phase BLDC Ceiling Fan. 61–65. 6 indexed citations
5.
Ali, Mohammad, et al.. (2018). A Short Term Day-Ahead Solar Radiation Prediction Using Machine Learning Techniques. 6(3). 4 indexed citations
6.
Berger, Christian, et al.. (2017). Predicting and Evaluating Software Model Growth in the Automotive Industry. Chalmers Research (Chalmers University of Technology). 584–593. 6 indexed citations
7.
Nilsson, Julia, Paolo Falcone, Mohammad Ali, & Jonas Sjöberg. (2015). Receding horizon maneuver generation for automated highway driving. Control Engineering Practice. 41. 124–133. 56 indexed citations
8.
Kianfar, Roozbeh, Mohammad Ali, Paolo Falcone, & Jonas Fredriksson. (2014). Combined longitudinal and lateral control design for string stable vehicle platooning within a designated lane. IRIS UNIMORE (University of Modena and Reggio Emilia). 1003–1008. 33 indexed citations
9.
Nilsson, Julia, Mohammad Ali, Paolo Falcone, & Jonas Sjöberg. (2013). Predictive manoeuvre generation for automated driving. IRIS UNIMORE (University of Modena and Reggio Emilia). 34 indexed citations
10.
Ali, Mohammad, Andrew Gray, Yiqi Gao, J. Karl Hedrick, & Francesco Borrelli. (2013). Multi-Objective Collision Avoidance. 3 indexed citations
11.
Gray, Andrew, Mohammad Ali, Yiqi Gao, J. Karl Hedrick, & Francesco Borrelli. (2013). A Unified Approach to Threat Assessment and Control for Automotive Active Safety. IEEE Transactions on Intelligent Transportation Systems. 14(3). 1490–1499. 67 indexed citations
12.
Ali, Mohammad, et al.. (2012). Predictive Prevention of Loss of Vehicle Control for Roadway Departure Avoidance. IEEE Transactions on Intelligent Transportation Systems. 14(1). 56–68. 24 indexed citations
13.
Gray, Andrew, Mohammad Ali, Yiqi Gao, J. Karl Hedrick, & Francesco Borrelli. (2012). Integrated threat assessment and control design for roadway departure avoidance. Chalmers Research (Chalmers University of Technology). 1714–1719. 39 indexed citations
14.
Ali, Mohammad, Esteban R. Gelso, & Jonas Sjöberg. (2012). Automotive Threat Assessment Design for Combined Braking and Steering Maneuvers. IEEE Transactions on Vehicular Technology. 62(4). 1519–1526. 3 indexed citations
15.
Gelso, Esteban R., Mohammad Ali, & Jonas Sjöberg. (2011). Threat assessment for driver assistance systems using interval-based techniques. IFAC Proceedings Volumes. 44(1). 9782–9787. 1 indexed citations
16.
Ali, Mohammad. (2010). On Automotive Roadway Departure Prevention. Chalmers Publication Library (Chalmers University of Technology). 2 indexed citations
17.
Falcone, Paolo, Mohammad Ali, & Jonas Sjöberg. (2010). Set-Based Threat Assessment in Lane Guidance Applications. IFAC Proceedings Volumes. 43(7). 554–559. 3 indexed citations
18.
Ali, Mohammad, Paolo Falcone, & Jonas Sjöberg. (2009). A PREDICTIVE APPROACH TO ROADWAY DEPARTURE PREVENTION. International Journal of Hematology. 69(3). 200–2. 8 indexed citations
19.
Ali, Mohammad & Jonas Sjöberg. (2009). Impact of Different Vehicle Models on Threat Assessment in Critical Curve Situations. Chalmers Publication Library (Chalmers University of Technology). 2009. 2 indexed citations
20.
Ali, Mohammad, et al.. (2008). Integrated Control of AFS and DYC in the Vehicle Yaw Stability Management System Using Fuzzy Logic Control. SAE technical papers on CD-ROM/SAE technical paper series. 1. 8 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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