Fraunhofer Institute for Computer Graphics Research
In research, Fraunhofer Institute for Computer Graphics Research stands highest in Computer Science (#1,548 of 4,667 worldwide) and Physical Sciences (#8,349 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition and Computer Science — Computer Vision and Pattern Recognition is 23.0× its share of world research.
- World rank, 2022–2025
- #15,431 of 28,054 · #6,229 all time
- Rank in Germany
- #604 of 1,178
- Research works
- 1.6k ▼ 43% vs 2013–17
- Citations
- 20k 12.8 per fractional work
- Top-10% rate
- 17.2% record average 16.5%
- Open access
- 19% world 28%
What is Fraunhofer Institute for Computer Graphics Research 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 | #1,548 of 4,667 | 21.6% | 84 | #430 | |
| Physical SciencesDomain | #8,349 of 12,888 | 17.5% | 125 | #3817 |
Each strip is that field’s whole ranked pool, with the notch where Fraunhofer Institute for Computer Graphics Research 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).
What does Fraunhofer Institute for Computer Graphics Research specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 23.0× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 45.5 works23×
- Computer ScienceField · 83.9 works6.9×
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, 6.9×. Every wedge is a field page.
- Computer Science 6.9×
- Earth and Planetary Sciences 1.4×
- Neuroscience 1.3×
- Engineering 1.1×
- Environmental Science 1.1×
- Psychology 1.0×
- Decision Sciences 0.9×
- Veterinary 0.8×
- Physics and Astronomy 0.6×
- Chemistry 0.5×
- Arts and Humanities 0.5×
- Business, Management and Accounting 0.4×
- Medicine 0.3×
- Health Professions 0.3×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Dentistry 0.2×
- Social Sciences 0.2×
- Agricultural and Biological Sciences 0.1×
- Nursing 0.1×
- Economics, Econometrics and Finance 0.1×
- Immunology and Microbiology 0.1×
- Materials Science 0.0×
Who are the top researchers at Fraunhofer Institute for Computer Graphics Research?
Ranked on the composite score, Dirk Burkhardt, Johannes Behr and Daniel Weber lead among researchers whose main affiliation is Fraunhofer Institute for Computer Graphics Research.
- 1 Dirk Burkhardt Germany · #326,895 worldwide 64 citations · 27 works
- 2 Johannes Behr Germany · #453,307 worldwide 67 citations · 22 works
- 3 Daniel Weber Germany · #453,634 worldwide 98 citations · 48 works
- 4 Andreas Braun Germany · #470,045 worldwide 145 citations · 52 works
- 5 Rolf Ziegler Germany · #488,579 worldwide 51 citations · 25 works
- 6 Martin Göbel Germany · #520,005 worldwide 31 citations · 23 works
- 7 Bodo Urban Germany · #556,913 worldwide 58 citations · 28 works
- 8 Arjan Kuijper Germany · #573,486 worldwide 457 citations · 149 works
- 9 Naser Damer Germany · #576,427 worldwide 254 citations · 74 works
- 10 Florian Kirchbuchner Germany · #594,208 worldwide 162 citations · 35 works
Which keywords describe research at Fraunhofer Institute for Computer Graphics Research?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Face Recognition, Convolutional Neural Networks, Pose Estimation, Age Estimation, Facial Landmark Detection, Security and Feature Extraction.
- Convolutional Networks
- 3D Mapping
- Object Detection
- Anomaly Detection
- Unsupervised Learning
- Visual Analytics
- Point Clouds
- User Interaction
- Data Mining
- Ensemble Methods
- Feature Selection
- Sparse Representation
- Neural Networks
- Big Data
- Fingerprint
- Privacy
- Feature Extraction
- Facial Landmark Detection
- Pose Estimation
- Face Recognition
- Deep Learning
- Convolutional Neural Networks
- Age Estimation
- Security
- Authentication
- Biometric Recognition
- Machine Learning
- Remote Sensing
- Support Vector Machines
- Dimensionality Reduction
- Local Binary Patterns
- Non-negative Matrix Factorization
- Computer Vision
- 3D Reconstruction
- Information Visualization
- Cultural Heritage
- Terrestrial Laser Scanning
- Image Recognition
- Robotics
- SLAM
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 Learning41▲ 7.7×44 topics
- Face Recognition22▲ 121×2 topics
- Convolutional Neural Networks20▲ 18×8 topics
- Pose Estimation15▲ 87×2 topics
- Age Estimation15▲ 147×1 topic
- Facial Landmark Detection15▲ 232×1 topic
- Security13▲ 13×9 topics
- Feature Extraction11▲ 16×7 topics
- Authentication10▲ 41×3 topics
- Privacy10▲ 21×3 topics
- Biometric Recognition9▲ 249×1 topic
- Fingerprint9▲ 249×1 topic
- Machine Learning8▲ 1.60×26 topics
- Big Data7▲ 5.2×10 topics
- Remote Sensing7▲ 3.8×14 topics
- Neural Networks7▲ 3.0×15 topics
- Support Vector Machines7▲ 14×4 topics
- Sparse Representation7▲ 23×3 topics
- Dimensionality Reduction7▲ 59×2 topics
- Feature Selection6▲ 19×2 topics
- Local Binary Patterns6▲ 61×2 topics
- Ensemble Methods6▲ 54×1 topic
- Non-negative Matrix Factorization6▲ 107×1 topic
- Data Mining6▲ 5.0×4 topics
- Computer Vision5▲ 12×3 topics
- User Interaction5▲ 101×2 topics
- 3D Reconstruction5▲ 33×2 topics
- Point Clouds5▲ 33×2 topics
- Information Visualization4▲ 147×1 topic
- Visual Analytics4▲ 147×1 topic
- Cultural Heritage4▲ 5.1×5 topics
- Unsupervised Learning4▲ 19×3 topics
- Terrestrial Laser Scanning4▲ 19×2 topics
- Anomaly Detection4▲ 7.6×3 topics
- Image Recognition3▲ 15×1 topic
- Object Detection3▲ 16×1 topic
- Robotics3▲ 8.4×3 topics
- 3D Mapping3▲ 27×1 topic
- SLAM3▲ 27×1 topic
- Convolutional Networks3▲ 13×3 topics
Which research topics does Fraunhofer Institute for Computer Graphics Research publish most on?
By volume in 2022–2025: Face recognition and analysis, Biometric Identification and Security, Face and Expression Recognition and Data Visualization and Analytics.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Face recognition and analysis Computer Vision and Pattern Recognition 15 works
- 2 Biometric Identification and Security Signal Processing 9 works
- 3 Face and Expression Recognition Computer Vision and Pattern Recognition 6 works
- 4 Data Visualization and Analytics Computer Vision and Pattern Recognition 4 works
- 5 Advanced Neural Network Applications Computer Vision and Pattern Recognition 3 works
- 6 Robotics and Sensor-Based Localization Aerospace Engineering 3 works
- 7 Computer Graphics and Visualization Techniques Computer Graphics and Computer-Aided Design 3 works
- 8 3D Surveying and Cultural Heritage Geology 2 works
- 9 Advanced Vision and Imaging Computer Vision and Pattern Recognition 2 works
- 10 3D Shape Modeling and Analysis Computational Mechanics 2 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 Fraunhofer Institute for Computer Graphics Research's research output changed?
Output in 2018–2022 was 43% lower 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 Darmstadt
- Technische Universität Darmstadt
- Darmstadt University of Applied Sciences
- GSI Helmholtz Centre for Heavy Ion Research
- Merck KGaA, Darmstadt (Germany)
- Software (Germany)
- Institut für das Bauen mit Kunststoffen
- Institut für biologische Forschung
- Klinikum Darmstadt
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.