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Research facility · Sankt Augustin · ??

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.

  1. Computer ScienceField · 30.2 works6.3×
← less than its size predictsmore →

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.

Agricultural and Biological Sciences: 1.13× its world share, 3 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.62× its world share, 2 worksBiochemistry, Geneti…Neuroscience: 0.50× its world share, 0 worksNeuroscienceChemistry: 0.50× its world share, 0 worksChemistryComputer Science: 6.30× its world share, 30 worksComputer ScienceEarth and Planetary Sciences: 0.95× its world share, 1 worksEarth and Planetary …Engineering: 1.17× its world share, 11 worksEngineeringEnvironmental Science: 0.76× its world share, 2 worksEnvironmental ScienceMaterials Science: 0.45× its world share, 1 worksMaterials ScienceMathematics: 0.92× its world share, 1 worksMathematicsPhysics and Astronomy: 0.99× its world share, 1 worksPhysics and AstronomyHealth Professions: 0.10× its world share, 0 worksHealth ProfessionsMedicine: 0.23× its world share, 3 worksMedicineArts and Humanities: 0.30× its world share, 0 worksArts and HumanitiesDecision Sciences: 3.05× its world share, 2 worksDecision SciencesEconomics, Econometrics and Finance: 0.05× its world share, 0 worksEconomics, Econometr…Psychology: 0.68× its world share, 1 worksPsychologySocial Sciences: 0.17× its world share, 1 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 6.3×. Every wedge is a field page.

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.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

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
  1. Deep Learning19▲ 9.1×40 topics
  2. Machine Learning11▲ 5.3×27 topics
  3. Neural Networks7▲ 7.0×16 topics
  4. Robotics5▲ 31×3 topics
  5. 3D Mapping4▲ 92×1 topic
  6. Mobile Robots4▲ 67×2 topics
  7. SLAM4▲ 92×1 topic
  8. Convolutional Neural Networks4▲ 8.7×7 topics
  9. Convolutional Networks3▲ 30×3 topics
  10. Remote Sensing3▲ 3.4×9 topics
  11. Environmental Monitoring2▲ 10×3 topics
  12. Image Processing2▲ 8.9×4 topics
  13. Wireless Sensor Networks2▲ 8.5×2 topics
  14. Plant Disease Detection2▲ 34×1 topic
  15. Smart Farming2▲ 31×1 topic
  16. Anomaly Detection2▲ 12×3 topics
  17. Deep Neural Networks2▲ 32×2 topics
  18. Unsupervised Learning2▲ 24×3 topics
  19. Computer Vision2▲ 12×4 topics
  20. Image Classification2▲ 18×2 topics
  21. Multi-Agent Systems2▲ 16×3 topics
  22. Terrestrial Laser Scanning2▲ 24×2 topics
  23. Autonomous Vehicles2▲ 14×3 topics
  24. Biomass Estimation2▲ 20×3 topics
  25. Data Mining2▲ 4.0×5 topics
  26. Image Recognition2▲ 22×1 topic
  27. Object Detection2▲ 23×1 topic
  28. Parallel Computing2▲ 24×3 topics
  29. Surveillance2▲ 11×2 topics
  30. 3D Reconstruction2▲ 29×2 topics
  31. Medicinal Chemistry2▲ 9.6×2 topics
  32. Object Tracking2▲ 37×1 topic
  33. Point Clouds2▲ 29×2 topics
  34. Visual Tracking2▲ 33×1 topic
  35. Information Retrieval2▲ 11×4 topics
  36. Interpretable Models2▲ 59×1 topic
  37. Machine Learning Interpretability2▲ 59×1 topic
  38. Molecular Docking2▲ 19×1 topic
  39. Virtual Screening2▲ 26×1 topic
  40. 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.

  1. 1 Robotics and Sensor-Based Localization Aerospace Engineering 4 works
  2. 2 Smart Agriculture and AI Plant Science 2 works
  3. 3 Advanced Neural Network Applications Computer Vision and Pattern Recognition 2 works
  4. 4 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 2 works
  5. 5 Explainable Artificial Intelligence (XAI) Artificial Intelligence 2 works
  6. 6 Computational Drug Discovery Methods Computational Theory and Mathematics 2 works
  7. 7 Advanced Vision and Imaging Computer Vision and Pattern Recognition 1 works
  8. 8 Adversarial Robustness in Machine Learning Artificial Intelligence 1 works
  9. 9 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 1 works
  10. 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.

openly available47.3%not open52.7%

World: 28% of research is openly available.

with international co-authors41.7%domestic only58.3%

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.