Lamarr Institute for Machine Learning and Artificial Intelligence
- World rank, 2022–2025
- #15,120 of 28,054
- Rank in ??
- #287 of 692
- Research works
- 66 fractional, all time
- Citations
- 576 8.7 per fractional work
- Top-10% rate
- 44.3% record average 16.5%
- Open access
- 47% world 28%
What does Lamarr Institute for Machine Learning and Artificial Intelligence specialise in?
Where its research is concentrated relative to its size: Computer Science takes 6.3× the share of its output that it takes of world research.
- Computer ScienceField · 30.2 works6.3×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 6.3×. Every wedge is a field page.
- Computer Science 6.3×
- Decision Sciences 3.0×
- Engineering 1.2×
- Agricultural and Biological Sciences 1.1×
- Physics and Astronomy 1.0×
- Earth and Planetary Sciences 0.9×
- Mathematics 0.9×
- Environmental Science 0.8×
- Psychology 0.7×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Neuroscience 0.5×
- Chemistry 0.5×
- Materials Science 0.5×
- Arts and Humanities 0.3×
- Medicine 0.2×
- Social Sciences 0.2×
- Health Professions 0.1×
- Economics, Econometrics and Finance 0.1×
Which keywords describe research at Lamarr Institute for Machine Learning and Artificial Intelligence?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Robotics, Mobile Robots, 3D Mapping, SLAM and Convolutional Neural Networks.
- Representation Learning
- Molecular Docking
- Interpretable Models
- Visual Tracking
- Object Tracking
- 3D Reconstruction
- Parallel Computing
- Image Recognition
- Biomass Estimation
- Terrestrial Laser Scanning
- Image Classification
- Unsupervised Learning
- Anomaly Detection
- Plant Disease Detection
- Image Processing
- Remote Sensing
- Convolutional Neural Networks
- Mobile Robots
- Robotics
- Machine Learning
- Deep Learning
- Neural Networks
- 3D Mapping
- SLAM
- Convolutional Networks
- Environmental Monitoring
- Wireless Sensor Networks
- Smart Farming
- Deep Neural Networks
- Computer Vision
- Multi-Agent Systems
- Autonomous Vehicles
- Data Mining
- Object Detection
- Surveillance
- Medicinal Chemistry
- Point Clouds
- Information Retrieval
- Machine Learning Interpretability
- Virtual Screening
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Deep Learning19▲ 9.1×40 topics
- Machine Learning11▲ 5.3×27 topics
- Neural Networks7▲ 7.0×16 topics
- Robotics5▲ 31×3 topics
- 3D Mapping4▲ 92×1 topic
- Mobile Robots4▲ 67×2 topics
- SLAM4▲ 92×1 topic
- Convolutional Neural Networks4▲ 8.7×7 topics
- Convolutional Networks3▲ 30×3 topics
- Remote Sensing3▲ 3.4×9 topics
- Environmental Monitoring2▲ 10×3 topics
- Image Processing2▲ 8.9×4 topics
- Wireless Sensor Networks2▲ 8.5×2 topics
- Plant Disease Detection2▲ 34×1 topic
- Smart Farming2▲ 31×1 topic
- Anomaly Detection2▲ 12×3 topics
- Deep Neural Networks2▲ 32×2 topics
- Unsupervised Learning2▲ 24×3 topics
- Computer Vision2▲ 12×4 topics
- Image Classification2▲ 18×2 topics
- Multi-Agent Systems2▲ 16×3 topics
- Terrestrial Laser Scanning2▲ 24×2 topics
- Autonomous Vehicles2▲ 14×3 topics
- Biomass Estimation2▲ 20×3 topics
- Data Mining2▲ 4.0×5 topics
- Image Recognition2▲ 22×1 topic
- Object Detection2▲ 23×1 topic
- Parallel Computing2▲ 24×3 topics
- Surveillance2▲ 11×2 topics
- 3D Reconstruction2▲ 29×2 topics
- Medicinal Chemistry2▲ 9.6×2 topics
- Object Tracking2▲ 37×1 topic
- Point Clouds2▲ 29×2 topics
- Visual Tracking2▲ 33×1 topic
- Information Retrieval2▲ 11×4 topics
- Interpretable Models2▲ 59×1 topic
- Machine Learning Interpretability2▲ 59×1 topic
- Molecular Docking2▲ 19×1 topic
- Virtual Screening2▲ 26×1 topic
- Representation Learning1▲ 17×3 topics
Which research topics does Lamarr Institute for Machine Learning and Artificial Intelligence publish most on?
By volume in 2022–2025: Robotics and Sensor-Based Localization, Smart Agriculture and AI, Advanced Neural Network Applications and Video Surveillance and Tracking Methods.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Robotics and Sensor-Based Localization Aerospace Engineering 4 works
- 2 Smart Agriculture and AI Plant Science 2 works
- 3 Advanced Neural Network Applications Computer Vision and Pattern Recognition 2 works
- 4 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 2 works
- 5 Explainable Artificial Intelligence (XAI) Artificial Intelligence 2 works
- 6 Computational Drug Discovery Methods Computational Theory and Mathematics 2 works
- 7 Advanced Vision and Imaging Computer Vision and Pattern Recognition 1 works
- 8 Adversarial Robustness in Machine Learning Artificial Intelligence 1 works
- 9 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 1 works
- 10 Anomaly Detection Techniques and Applications Artificial Intelligence 1 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.