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Researcher · Valeo (France) · France

Émilie Wirbel

Émilie Wirbel publishes mostly in Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence, on topics such as Autonomous Vehicle Technology and Safety, Robotics and Sensor-Based Localization and Robotic Path Planning Algorithms.

OpenAlex
World rank
#1,766,117
of 7,710,434 ranked researchers
Rank in France
#77,953
of 324,115
Works
30
Citations
863
Citations per work
28.8
h-index
11
i10-index 12Top 39% in Computer Vision and Pattern Recognition
Émilie Wirbel

What does Émilie Wirbel research?

Émilie Wirbel's work is mostly in Computer Science (53%), Engineering (32%), Health Professions (2%).

Physical Sciences: 25 works · 84.9% of their workComputer Science: 16 works · 53.2% of their workComputer Vision and Pattern Recognition: 11 works · 36.7% of their workArtificial Intelligence: 5 works · 16.5% of their workEngineering: 10 works · 31.7% of their workAutomotive Engineering: 5 works · 16.5% of their workAerospace Engineering: 3 works · 11.4% of their workOcean Engineering: 1 works · 3.8% of their workEverything else: 4 works · 12.6% of their workHealth Sciences: 1 works · 2.5% of their workHealth Professions: 1 works · 2.5% of their workGeneral Health Professions: 1 works · 2.5% of their workTHEIR WORKÉmilie Wirbel30works
Physical Sciences85%Health Sciences2%

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. Computer Science1653.2%
    2. Engineering1031.7%
  2. Everything else412.6%
    1. Health Professions12.5%
  1. 1Computer Vision and Pattern Recognition37% of their works
  2. 2Automotive Engineering16% of their works
  3. 3Artificial Intelligence16% of their works
  4. 4Aerospace Engineering11% of their works
  5. 5Ocean Engineering4% of their works
  6. 6General Health Professions2% of their works

Research topics

Which keywords describe Émilie Wirbel's research?

The keywords of their largest research topics: Deep Learning, Autonomous Vehicles, Collision Avoidance, Robotics, Driver Assistance Systems, Trajectory Prediction, Multi-Agent Systems and 3D Mapping.

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.

All 23 words, with their numbers
  1. Deep Learning224 topics
  2. Autonomous Vehicles172 topics
  3. Collision Avoidance172 topics
  4. Robotics132 topics
  5. Driver Assistance Systems111 topic
  6. Trajectory Prediction111 topic
  7. Multi-Agent Systems102 topics
  8. 3D Mapping91 topic
  9. SLAM91 topic
  10. Unsupervised Learning82 topics
  11. Convolutional Neural Networks72 topics
  12. Optimal Motion Planning61 topic
  13. Sampling-Based Algorithms61 topic
  14. Depth Estimation41 topic
  15. Domain Adaptation41 topic
  16. Neural Networks41 topic
  17. Object Tracking41 topic
  18. Reinforcement Learning41 topic
  19. Stereo Vision41 topic
  20. Transfer Learning41 topic
  21. Visual Tracking41 topic
  22. Image Recognition31 topic
  23. Object Detection31 topic

Where does Émilie Wirbel work?

Émilie Wirbel's main affiliation in the publication record is Valeo (France), France.

How many publications and citations does Émilie Wirbel have?

OpenAlex counts 30 works and 863 citations for Émilie Wirbel, an h-index of 11, ranking #1,766,117 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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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