German Research Centre for Artificial Intelligence
In research, German Research Centre for Artificial Intelligence stands highest in Computer Science (#771 of 4,667 worldwide), Engineering (#1,355 of 6,636 worldwide) and Physical Sciences (#3,215 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Human-Computer Interaction, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering — Human-Computer Interaction is 16.8× its share of world research.
- World rank, 2022–2025
- #3,702 of 28,054 · #4,271 all time
- Rank in Germany
- #173 of 1,178
- Research works
- 5.1k ◆ 2% vs 2013–17
- Citations
- 87k 17.0 per fractional work
- Top-10% rate
- 21.0% record average 16.5%
- Open access
- 32% world 28%
What is German Research Centre for Artificial Intelligence known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Computer ScienceField | #771 of 4,667 | 19.7% | 497 | #531 | |
| EngineeringField | #1,355 of 6,636 | 18.8% | 285 | #1524 | |
| Physical SciencesDomain | #3,215 of 12,888 | 19.5% | 840 | #3359 | |
| Artificial IntelligenceSubfield | #507 of 1,884 | 21.0% | 205 | #241 | |
| Computer Vision and Pattern RecognitionSubfield | #345 of 941 | 21.9% | 119 | #219 | |
| Life SciencesDomain | #3,437 of 7,800 | 21.2% | 67 | #6422 | |
| Social SciencesDomain | #4,907 of 10,521 | 26.3% | 148 | #2706 | |
| Electrical and Electronic EngineeringSubfield | #1,352 of 2,318 | 17.8% | 66 | #2211 |
Each strip is that field’s whole ranked pool, with the notch where German Research Centre for Artificial Intelligence sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Computer Science#531 #771
- Engineering#1,524 #1,355
- Physical Sciences#3,359 #3,215
- Artificial Intelligence#241 #507
- Computer Vision and Pattern Recognition#219 #345
- Life Sciences#6,422 #3,437
- Social Sciences#2,706 #4,907
- Electrical and Electronic Engineering#2,211 #1,352
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
What does German Research Centre for Artificial Intelligence specialise in?
Where its research is concentrated relative to its size: Human-Computer Interaction takes 16.8× the share of its output that it takes of world research.
- Human-Computer InteractionSubfield · 38.5 works17×
- Computer Vision and Pattern RecognitionSubfield · 119.4 works8.5×
- Industrial and Manufacturing EngineeringSubfield · 48.5 works8.4×
- Artificial IntelligenceSubfield · 205.5 works7.7×
- Signal ProcessingSubfield · 21.0 works6.2×
- Computer ScienceField · 496.6 works5.7×
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, 5.7×. Every wedge is a field page.
- Computer Science 5.7×
- Decision Sciences 2.1×
- Engineering 1.7×
- Neuroscience 1.6×
- Psychology 1.2×
- Business, Management and Accounting 0.8×
- Earth and Planetary Sciences 0.6×
- Environmental Science 0.5×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Pharmacology, Toxicology and Pharmaceutics 0.4×
- Physics and Astronomy 0.4×
- Mathematics 0.4×
- Arts and Humanities 0.3×
- Health Professions 0.3×
- Social Sciences 0.3×
- Medicine 0.2×
- Economics, Econometrics and Finance 0.2×
- Agricultural and Biological Sciences 0.1×
- Veterinary 0.1×
- Materials Science 0.1×
- Immunology and Microbiology 0.1×
- Energy 0.1×
- Chemistry 0.1×
- Dentistry 0.1×
- Nursing 0.0×
Who are the top researchers at German Research Centre for Artificial Intelligence?
Ranked on the composite score, Hans Uszkoreit, Anthony Jameson and Matthias Klusch lead among researchers whose main affiliation is German Research Centre for Artificial Intelligence.
- 1 Hans Uszkoreit Germany · #47,693 worldwide 455 citations · 118 works
- 2 Anthony Jameson Germany · #56,757 worldwide 264 citations · 33 works
- 3 Matthias Klusch Germany · #71,258 worldwide 246 citations · 54 works
- 4 Klaus Fischer Germany · #97,207 worldwide 245 citations · 54 works
- 5 Faisal Shafait Germany · #103,741 worldwide 491 citations · 73 works
- 6 Marcus Liwicki Germany · #106,428 worldwide 533 citations · 108 works
- 7 Antonio Krüger Germany · #121,920 worldwide 593 citations · 128 works
- 8 Sheraz Ahmed Germany · #128,718 worldwide 374 citations · 59 works
- 9 Christian Müller Germany · #137,939 worldwide 148 citations · 40 works
- 10 Peter Fettke Germany · #153,837 worldwide 371 citations · 83 works
Which keywords describe research at German Research Centre for Artificial Intelligence?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Big Data, Convolutional Neural Networks, Artificial Intelligence, Virtual Reality and Human-Computer Interaction.
- Human-Robot Interaction
- Real-time Tracking
- Gesture Recognition
- Cyber-Physical Systems
- Neural Machine Translation
- Semantic Similarity
- Anomaly Detection
- Description Logics
- Topic Modeling
- Computer Vision
- Deep Neural Networks
- Corpus Linguistics
- Information Retrieval
- Convolutional Networks
- Surveillance
- Human-Computer Interaction
- Virtual Reality
- Convolutional Neural Networks
- Big Data
- Neural Networks
- Deep Learning
- Machine Learning
- Artificial Intelligence
- Internet of Things
- Security
- Data Integration
- Feature Extraction
- Text Classification
- Robotics
- Time Series
- Knowledge Representation
- Multi-Agent Systems
- Machine Translation
- Wearable Sensors
- Health Monitoring
- Word Representation
- Statistical Machine Translation
- Semantic Web
- Image Classification
- Unsupervised Learning
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 Learning237▲ 6.2×72 topics
- Neural Networks117▲ 6.8×34 topics
- Machine Learning114▲ 3.1×71 topics
- Big Data49▲ 4.9×21 topics
- Artificial Intelligence42▲ 2.8×26 topics
- Convolutional Neural Networks41▲ 5.0×14 topics
- Internet of Things32▲ 3.3×14 topics
- Virtual Reality30▲ 5.3×10 topics
- Security25▲ 3.4×16 topics
- Human-Computer Interaction24▲ 13×5 topics
- Data Integration23▲ 12×6 topics
- Surveillance22▲ 7.5×4 topics
- Feature Extraction22▲ 4.4×10 topics
- Convolutional Networks22▲ 14×3 topics
- Text Classification22▲ 12×3 topics
- Information Retrieval21▲ 8.6×3 topics
- Robotics21▲ 7.6×5 topics
- Corpus Linguistics20▲ 8.5×4 topics
- Time Series20▲ 10×3 topics
- Deep Neural Networks20▲ 17×3 topics
- Knowledge Representation20▲ 21×4 topics
- Computer Vision20▲ 6.6×4 topics
- Multi-Agent Systems20▲ 9.3×5 topics
- Topic Modeling20▲ 12×3 topics
- Machine Translation19▲ 10×2 topics
- Description Logics19▲ 35×2 topics
- Wearable Sensors19▲ 15×3 topics
- Anomaly Detection19▲ 5.8×4 topics
- Health Monitoring19▲ 8.2×3 topics
- Semantic Similarity19▲ 14×1 topic
- Word Representation19▲ 14×1 topic
- Neural Machine Translation19▲ 18×1 topic
- Statistical Machine Translation19▲ 18×1 topic
- Cyber-Physical Systems18▲ 6.0×7 topics
- Semantic Web18▲ 17×4 topics
- Gesture Recognition17▲ 21×3 topics
- Image Classification17▲ 9.0×2 topics
- Real-time Tracking16▲ 14×2 topics
- Unsupervised Learning16▲ 9.9×3 topics
- Human-Robot Interaction15▲ 13×3 topics
Which research topics does German Research Centre for Artificial Intelligence publish most on?
By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Advanced Neural Network Applications and Semantic Web and Ontologies.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 19 works
- 2 Natural Language Processing Techniques Artificial Intelligence 19 works
- 3 Advanced Neural Network Applications Computer Vision and Pattern Recognition 15 works
- 4 Semantic Web and Ontologies Artificial Intelligence 15 works
- 5 Digital Transformation in Industry Industrial and Manufacturing Engineering 14 works
- 6 Explainable Artificial Intelligence (XAI) Artificial Intelligence 14 works
- 7 Anomaly Detection Techniques and Applications Artificial Intelligence 13 works
- 8 Context-Aware Activity Recognition Systems Computer Vision and Pattern Recognition 13 works
- 9 Robot Manipulation and Learning Control and Systems Engineering 12 works
- 10 Hand Gesture Recognition Systems Human-Computer Interaction 12 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.
How has German Research Centre for Artificial Intelligence's research output changed?
Output in 2018–2022 was 2% higher than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in Kaiserslautern
- University of Kaiserslautern
- Fraunhofer Institute for Industrial Mathematics
- Fraunhofer Institute for Experimental Software Engineering
- University of Applied Sciences Kaiserslautern
- Leibniz-Institut für Verbundwerkstoffe GmbH
- Westpfalz Klinikum
- Institut für Biotechnologie und Wirkstoff-Forschung
- SmartFactory (Germany)
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.