TH Bingen University of Applied Sciences
In research, TH Bingen University of Applied Sciences stands highest in Computer Science (#403 of 4,667 worldwide) and Physical Sciences (#3,372 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition — Computer Vision and Pattern Recognition is 10.5× its share of world research.
- World rank, 2022–2025
- #5,642 of 28,054 · #8,382 all time
- Rank in Germany
- #240 of 1,178
- Research works
- 2k ▲ 14% vs 2013–17
- Citations
- 24k 12.4 per fractional work
- Top-10% rate
- 21.1% record average 16.5%
- Open access
- 21% world 28%
What is TH Bingen University of Applied Sciences 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 | #403 of 4,667 | 29.2% | 92 | #1461 | |
| Physical SciencesDomain | #3,372 of 12,888 | 23.3% | 174 | #6893 |
Each strip is that field’s whole ranked pool, with the notch where TH Bingen University of Applied Sciences 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 TH Bingen University of Applied Sciences specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 10.5× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 33.8 works10×
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, 4.6×. Every wedge is a field page.
- Computer Science 4.6×
- Neuroscience 1.9×
- Decision Sciences 1.6×
- Engineering 1.5×
- Veterinary 1.5×
- Earth and Planetary Sciences 1.4×
- Agricultural and Biological Sciences 1.2×
- Physics and Astronomy 1.1×
- Psychology 0.8×
- Arts and Humanities 0.8×
- Mathematics 0.7×
- Environmental Science 0.6×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Immunology and Microbiology 0.5×
- Economics, Econometrics and Finance 0.5×
- Pharmacology, Toxicology and Pharmaceutics 0.4×
- Medicine 0.4×
- Chemical Engineering 0.4×
- Social Sciences 0.3×
- Nursing 0.3×
- Chemistry 0.2×
- Energy 0.2×
- Materials Science 0.2×
- Health Professions 0.2×
- Business, Management and Accounting 0.1×
- Dentistry 0.1×
Who are the top researchers at TH Bingen University of Applied Sciences?
Ranked on the composite score, A. Sophia Koepke, Guo Sheng and Yuan Hong lead among researchers whose main affiliation is TH Bingen University of Applied Sciences.
- 1 A. Sophia Koepke Germany · #353,115 worldwide 96 citations · 18 works
- 2 Guo Sheng Germany · #597,890 worldwide 0 citations · 19 works
- 3 Yuan Hong Germany · #630,260 worldwide 0 citations · 18 works
- 4 Andreas Klein Germany · #880,987 worldwide 2 citations · 16 works
- 5 A Alcaide Germany · #1,348,128 worldwide 0 citations · 30 works
- 6 XU Ya Germany · #1,422,460 worldwide 4 citations · 51 works
- 7 Herbert Baaser Germany · #1,621,642 worldwide 3 citations · 18 works
Which keywords describe research at TH Bingen University of Applied Sciences?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Convolutional Neural Networks, Convolutional Networks, Unsupervised Learning, Robotics and Image Classification.
- Adversarial Examples
- Mesh Segmentation
- Semi-Supervised Learning
- Spatiotemporal Features
- Collision Avoidance
- Point Clouds
- Stereo Vision
- Multi-Agent Systems
- SLAM
- 3D Mapping
- Representation Learning
- Amino Acids
- Intestinal Barrier
- Mobile Robots
- Image Recognition
- Computer Vision
- Robotics
- Unsupervised Learning
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Convolutional Networks
- Security
- Image Classification
- Depth Estimation
- Object Detection
- Gut Microbiota
- Heat Stress
- Probiotics
- Localization
- Autonomous Vehicles
- Meta-Learning
- Optical Flow
- 3D Reconstruction
- Pose Estimation
- Action Recognition
- Transfer Learning
- Human-Computer Interaction
- Shape Representation
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 Learning58▲ 6.6×54 topics
- Neural Networks24▲ 6.0×26 topics
- Machine Learning22▲ 2.6×38 topics
- Convolutional Neural Networks12▲ 6.4×12 topics
- Convolutional Networks9▲ 24×3 topics
- Unsupervised Learning8▲ 23×3 topics
- Security6▲ 3.8×9 topics
- Robotics6▲ 9.9×3 topics
- Image Classification5▲ 12×2 topics
- Computer Vision5▲ 7.7×2 topics
- Depth Estimation5▲ 24×2 topics
- Image Recognition5▲ 15×1 topic
- Object Detection5▲ 16×1 topic
- Mobile Robots5▲ 20×3 topics
- Gut Microbiota5▲ 5.3×3 topics
- Intestinal Barrier5▲ 23×2 topics
- Heat Stress5▲ 23×2 topics
- Amino Acids5▲ 19×1 topic
- Probiotics5▲ 7.6×1 topic
- Representation Learning5▲ 13×3 topics
- Localization4▲ 14×2 topics
- 3D Mapping4▲ 24×1 topic
- Autonomous Vehicles4▲ 8.2×4 topics
- SLAM4▲ 24×1 topic
- Meta-Learning4▲ 21×2 topics
- Multi-Agent Systems4▲ 8.9×5 topics
- Optical Flow4▲ 32×1 topic
- Stereo Vision4▲ 32×1 topic
- 3D Reconstruction4▲ 17×2 topics
- Point Clouds4▲ 17×2 topics
- Pose Estimation4▲ 14×2 topics
- Collision Avoidance4▲ 8.4×2 topics
- Action Recognition4▲ 29×1 topic
- Spatiotemporal Features4▲ 29×1 topic
- Transfer Learning4▲ 7.5×3 topics
- Semi-Supervised Learning4▲ 13×3 topics
- Human-Computer Interaction4▲ 7.8×3 topics
- Mesh Segmentation4▲ 46×1 topic
- Shape Representation4▲ 46×1 topic
- Adversarial Examples3▲ 26×1 topic
Which research topics does TH Bingen University of Applied Sciences publish most on?
By volume in 2022–2025: Advanced Neural Network Applications, Animal Nutrition and Physiology, Robotics and Sensor-Based Localization and Advanced Vision and Imaging.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Neural Network Applications Computer Vision and Pattern Recognition 5 works
- 2 Animal Nutrition and Physiology Animal Science and Zoology 5 works
- 3 Robotics and Sensor-Based Localization Aerospace Engineering 4 works
- 4 Advanced Vision and Imaging Computer Vision and Pattern Recognition 4 works
- 5 Human Pose and Action Recognition Computer Vision and Pattern Recognition 4 works
- 6 3D Shape Modeling and Analysis Computational Mechanics 4 works
- 7 Adversarial Robustness in Machine Learning Artificial Intelligence 3 works
- 8 Domain Adaptation and Few-Shot Learning Artificial Intelligence 3 works
- 9 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 3 works
- 10 Computer Graphics and Visualization Techniques Computer Graphics and Computer-Aided Design 3 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 TH Bingen University of Applied Sciences's research output changed?
Output in 2018–2022 was 14% 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 Bingen am Rhein
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.