Research in Bingen am Rhein
Science Explorer records 2 research institutions in Bingen am Rhein, Germany. The highest-ranked on research quality in 2022–2025 are TH Bingen University of Applied Sciences.
- Research institutions
- 2 1 of them ranked worldwide
- Research works
- 2k ▲ 14% vs 2013–17
- Top-10% rate, 2022–2025
- 21.1% record average 16.5%
A city carries no overall standing here. The composite score is built for institutions and countries, the units its floors and field normalisation were designed around. An empty rank on this page is a statement about the measure, not about the place.
Which research institutions are in Bingen am Rhein?
| # | Institution | Works | Against the largest here | World rank |
|---|---|---|---|---|
| 1 | TH Bingen University of Applied SciencesUniversity | 1,957 | #5,642 | |
| 2 | Institut für Innovation, Transfer und BeratungInstitution | 1 | not ranked |
By fractional works over the whole record; world rank on research quality in 2022–2025. Bars are scaled to the largest institution in this city, not to anything off the page.
What is Bingen am Rhein strongest at in research?
Relative to its size, research in Bingen am Rhein is most concentrated in Computer Vision and Pattern Recognition (10.5× the world share in Computer Vision and Pattern Recognition).
- Computer Vision and Pattern RecognitionSubfield · 33.8 works10×
Location quotient against the world baseline. Inside a single field a city is a meaningful unit, which is why this is where a city is measured at all.
Which keywords describe research in Bingen am Rhein?
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 city'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
What research is done in Bingen am Rhein?
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
Research output over time
The same series as a ribbon — one cell per year, darker for more.