Mohammad Ali

607 citations
28 papers · 492 · h-index 10

Impact in

Papers in

Mohammad Ali

28 papers receiving 474 citations

Peers

Mohammad Ali
Comparison fields: 5 of 50
  • Automotive Engineering 363
  • Control and Systems Engineering 272
  • Computer Vision and Pattern Recognition 107
  • Safety, Risk, Reliability and Quality 34
  • Statistics, Probability and Uncertainty 15
Replace Zhu Hao-Jie with:
Zhu Hao-Jie China
Marc René Zofka Germany
Ran Tian United States
Karsten Lemmer Germany
Constantin Hubmann Germany
Alireza Nakhaei United States
Jianyu Chen China
Adrian Zlocki Germany
Stefanie Manzinger Germany
Shilp Dixit United Kingdom
Mohammad Ali relative to Zhu Hao-Jie China Zhu Hao-Jie's profile →
Citations per field
00.5×10×20×30×40×47×
Zhu Hao-Jie · 1×
Citations per year

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-authors

The 19 scholars most cited alongside Mohammad Ali, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Ali Line = papers co-authored together Mohammad Ali links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201190
2 201373
3 201557
4 201238
5 201336
6 201835
7 201434
8 201227
9 202022
10 201210
11 20089
12 20188
13
A PREDICTIVE APPROACH TO ROADWAY DEPARTURE PREVENTION
20098
14 20176
15 20126
16 20104
17 20094
18 20124
19 20184
20 20113

About Mohammad Ali

Mohammad Ali is a scholar working on Automotive Engineering, Control and Systems Engineering, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality and Software, having authored 28 papers that have together received 492 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (16 papers), Vehicle Dynamics and Control Systems (12 papers), Real-time simulation and control systems (6 papers), Traffic control and management (4 papers), Formal Methods in Verification (3 papers), Robotic Path Planning Algorithms (3 papers), Traffic and Road Safety (3 papers) and Software Reliability and Analysis Research (3 papers). The work is most often cited by research in Automotive Engineering (363 citations), Control and Systems Engineering (272 citations), Computer Vision and Pattern Recognition (107 citations), Safety, Risk, Reliability and Quality (34 citations) and Statistics, Probability and Uncertainty (15 citations). Mohammad Ali has collaborated with scholars based in Sweden, United States and Bangladesh. Frequent co-authors include Jonas Sigfrid Sjoberg, Paolo Falcone, Yiqi Gao, Andrew Gray, J. Karl Hedrick, Francesco Borrelli, Julia Nilsson, Swakkhar Shatabda, Jonas Fredriksson and Roozbeh Kianfar. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Vehicular Technology, SAE technical papers on CD-ROM/SAE technical paper series, Control Engineering Practice and IRIS UNIMORE (University of Modena and Reggio Emilia).

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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