Phillip Karle
Phillip Karle publishes mostly in Automotive Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, on topics such as Autonomous Vehicle Technology and Safety, Real-time simulation and control systems and Vehicle Dynamics and Control Systems.
- World rank
- #2,095,221 of 7,710,434 ranked researchers
- Rank in Germany
- #103,411 of 364,343
- Works
- 24
- Citations
- 458
- Citations per work
- 19.1
What does Phillip Karle research?
Phillip Karle's work is mostly in Engineering (57%), Computer Science (26%).
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
- Physical Sciences2083.0%
- Engineering1456.6%
- Computer Science626.4%
- Everything else417.0%
- 1Automotive Engineering40% of their works
- 2Control and Systems Engineering13% of their works
- 3Computer Vision and Pattern Recognition13% of their works
- 4Artificial Intelligence9% of their works
- 5Software4% of their works
- 6Safety, Risk, Reliability and Quality4% of their works
Research topics
- Autonomous Vehicle Technology and Safety
- Real-time simulation and control systems
- Vehicle Dynamics and Control Systems
- Robotic Path Planning Algorithms
- Advanced Neural Network Applications
- Anomaly Detection Techniques and Applications
- Software Testing and Debugging Techniques
- Robotics and Sensor-Based Localization
Which keywords describe Phillip Karle's research?
The keywords of their largest research topics: Autonomous Vehicles, Deep Learning, Collision Avoidance, Driver Assistance Systems, Trajectory Prediction, Control Systems, Hardware-in-the-Loop and Real-Time Simulation.
- Unsupervised
- SLAM
- Anomaly Detection
- Sampling-Based Algorithms
- Image Recognition
- Vehicle Dynamics
- Real-Time Simulation
- Control Systems
- Driver Assistance Systems
- Deep Learning
- Autonomous Vehicles
- Collision Avoidance
- Trajectory Prediction
- Hardware-in-the-Loop
- Model Predictive Control
- Convolutional Neural Networks
- Optimal Motion Planning
- 3D Mapping
- Automated Testing
- Software Fault Localization
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 20 words, with their numbers
- Autonomous Vehicles223 topics
- Deep Learning203 topics
- Collision Avoidance182 topics
- Driver Assistance Systems151 topic
- Trajectory Prediction151 topic
- Control Systems92 topics
- Hardware-in-the-Loop51 topic
- Real-Time Simulation51 topic
- Model Predictive Control41 topic
- Vehicle Dynamics41 topic
- Convolutional Neural Networks31 topic
- Image Recognition31 topic
- Optimal Motion Planning31 topic
- Sampling-Based Algorithms31 topic
- 3D Mapping21 topic
- Anomaly Detection21 topic
- Automated Testing21 topic
- SLAM21 topic
- Software Fault Localization21 topic
- Unsupervised21 topic
Where does Phillip Karle work?
Phillip Karle's main affiliation in the publication record is Technical University of Munich, Germany.
How many publications and citations does Phillip Karle have?
OpenAlex counts 24 works and 458 citations for Phillip Karle, an h-index of 10, ranking #2,095,221 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.
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