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Researcher · Continental (Germany) · Germany

Mohamed-Khalil Bouzidi

Mohamed-Khalil Bouzidi publishes mostly in Control and Systems Engineering, Automotive Engineering and Computer Vision and Pattern Recognition, on topics such as Autonomous Vehicle Technology and Safety, Advanced Control Systems Optimization and Traffic control and management.

ORCID 0009-0009-9734-3133 OpenAlex
World rank
#5,709,101
of 7,710,434 ranked researchers
Rank in Germany
#293,628
of 364,343
Works
21
Citations
30
Citations per work
1.4
h-index
4
i10-index 1Top 87% in Control and Systems Engineering
Mohamed-Khalil Bouzidi

What does Mohamed-Khalil Bouzidi research?

Mohamed-Khalil Bouzidi's work is mostly in Engineering (62%), Computer Science (20%).

Physical Sciences: 17 works · 82.0% of their workEngineering: 13 works · 62.3% of their workControl and Systems Engineering: 7 works · 32.8% of their workAutomotive Engineering: 4 works · 19.7% of their workBiomedical Engineering: 1 works · 4.9% of their workMechanical Engineering: 1 works · 4.9% of their workComputer Science: 4 works · 19.7% of their workComputer Vision and Pattern Recognition: 3 works · 14.8% of their workArtificial Intelligence: 1 works · 4.9% of their workEverything else: 4 works · 18.0% of their workTHEIR WORKMohamed-KhalilBouzidi21works
Physical Sciences82%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Engineering1362.3%
    2. Computer Science419.7%
  2. Everything else418.0%
  1. 1Control and Systems Engineering33% of their works
  2. 2Automotive Engineering20% of their works
  3. 3Computer Vision and Pattern Recognition15% of their works
  4. 4Artificial Intelligence5% of their works
  5. 5Biomedical Engineering5% of their works
  6. 6Mechanical Engineering5% of their works

Research topics

Which keywords describe Mohamed-Khalil Bouzidi's research?

The keywords of their largest research topics: Deep Learning, Autonomous Vehicles, Collision Avoidance, Driver Assistance Systems, Trajectory Prediction, Model Predictive Control, Optimization and Reinforcement Learning.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 23 words, with their numbers
  1. Deep Learning174 topics
  2. Autonomous Vehicles152 topics
  3. Collision Avoidance152 topics
  4. Driver Assistance Systems101 topic
  5. Trajectory Prediction101 topic
  6. Model Predictive Control81 topic
  7. Optimization81 topic
  8. Reinforcement Learning82 topics
  9. Traffic Flow82 topics
  10. Multi-Agent Systems72 topics
  11. Neural Networks73 topics
  12. Cooperative Adaptive Cruise Control61 topic
  13. Microscopic Simulation61 topic
  14. Optimal Motion Planning51 topic
  15. Sampling-Based Algorithms51 topic
  16. Generative Adversarial Networks31 topic
  17. Image Synthesis31 topic
  18. Autonomous Control21 topic
  19. Droplet Formation21 topic
  20. Microfluidics21 topic
  21. Robotics21 topic
  22. Short-Term Forecasting21 topic
  23. Spatio-Temporal Data21 topic

Where does Mohamed-Khalil Bouzidi work?

Mohamed-Khalil Bouzidi's main affiliation in the publication record is Continental (Germany), Germany.

How many publications and citations does Mohamed-Khalil Bouzidi have?

OpenAlex counts 21 works and 30 citations for Mohamed-Khalil Bouzidi, an h-index of 4, ranking #5,709,101 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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