Research in Bingen am Rhein
Science Explorer records 2 research institutions in Bingen am Rhein, Germany. The highest-ranked on research quality in 2022-now are TH Bingen University of Applied Sciences.
- Research institutions
- 2 1 of them ranked worldwide
- Research works
- 2k ▲ 103% vs 2018-21
- Citations
- 24k 12.4 per fractional work, all time
- Top-10% rate, 2022-now
- 21.1% all institutions 10.0%
- Active span
- 1950-2026 77 years on the record
A city carries no overall standing here. The quality 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 | #7,133 | |
| 2 | Institut für Innovation, Transfer und BeratungInstitution | 1 | not ranked |
By fractional works over the whole record; world rank on research quality in 2022-now. Bars are scaled to the largest institution in this city, not to anything off the page.
Which fields of science does Bingen am Rhein work in?
In 2022-now, 66% of research in Bingen am Rhein is in Physical Sciences, 14% in Life Sciences. Its largest fields are Computer Science (35%), Engineering (22%), Medicine (8%). It does 1.7× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this city does than the world.
Its 4 domains and 26 fields, with their numbers
- Physical Sciences19666.4%
- Computer Science10435.2%
- Engineering6421.6%
- Environmental Science82.8%
- Physics and Astronomy72.2%
- Earth and Planetary Sciences61.9%
- Mathematics31.1%
- Materials Science20.7%
- Energy10.4%
- Chemistry10.4%
- Chemical Engineering00.1%
- Life Sciences4013.6%
- Social Sciences3211.0%
- Health Sciences268.9%
- Medicine248.0%
- Health Professions20.6%
- Veterinary10.2%
- Nursing00.1%
- Dentistry00.0%
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.
The whole field profile
All 26 fields at once: above the ring is more than a place this size would be expected to do. A specialist and a generalist produce the same ranked list and a completely different shape.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 4.6×. Every wedge is a field page.
All 26 fields, with their numbers
- Computer Science4.58×92 works
- Neuroscience1.86×8 works
- Decision Sciences1.63×4 works
- Engineering1.50×58 works
- Veterinary1.48×0 works
- Earth and Planetary Sciences1.38×6 works
- Agricultural and Biological Sciences1.22×15 works
- Physics and Astronomy1.05×6 works
- Psychology0.82×6 works
- Arts and Humanities0.78×6 works
- Mathematics0.70×2 works
- Environmental Science0.58×7 works
- Biochemistry, Genetics and Molecular Biology0.50×7 works
- Immunology and Microbiology0.49×1 works
- Economics, Econometrics and Finance0.46×2 works
- Pharmacology, Toxicology and Pharmaceutics0.43×0 works
- Medicine0.40×20 works
- Chemical Engineering0.37×0 works
- Social Sciences0.31×10 works
- Nursing0.26×0 works
- Chemistry0.24×1 works
- Energy0.23×0 works
- Materials Science0.21×2 works
- Health Professions0.18×1 works
- Business, Management and Accounting0.10×1 works
- Dentistry0.08×0 works
Which keywords describe research in Bingen am Rhein?
By fractional works in 2022-now, 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 Security.
- Deep Neural Networks
- Robustness
- Adversarial Examples
- Mesh Segmentation
- Pose Estimation
- Image Segmentation
- Point Clouds
- 3D Mapping
- Stereo Vision
- Probiotics
- Autonomous Vehicles
- Heat Stress
- Intestinal Barrier
- Mobile Robots
- Image Recognition
- Computer Vision
- Robotics
- Unsupervised Learning
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Convolutional Networks
- Security
- Depth Estimation
- Image Classification
- Object Detection
- Amino Acids
- Multi-Agent Systems
- Antibiotic Alternatives
- Optical Flow
- Representation Learning
- Localization
- 3D Reconstruction
- SLAM
- Meta-Learning
- Collision Avoidance
- Shape Representation
- Image Captioning
- Visual Question Answering
Size is fractional works in 2022-now 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 Learning64▲ 6.3×57 topics
- Neural Networks27▲ 6.0×26 topics
- Machine Learning24▲ 2.4×39 topics
- Convolutional Neural Networks12▲ 5.7×12 topics
- Convolutional Networks9▲ 23×3 topics
- Unsupervised Learning9▲ 20×3 topics
- Security8▲ 4.0×11 topics
- Robotics6▲ 9.0×3 topics
- Depth Estimation6▲ 24×2 topics
- Computer Vision6▲ 6.8×2 topics
- Image Classification5▲ 9.8×2 topics
- Image Recognition5▲ 12×1 topic
- Object Detection5▲ 13×1 topic
- Mobile Robots5▲ 18×3 topics
- Amino Acids5▲ 18×2 topics
- Intestinal Barrier5▲ 21×2 topics
- Multi-Agent Systems5▲ 8.6×5 topics
- Heat Stress5▲ 20×2 topics
- Antibiotic Alternatives5▲ 29×1 topic
- Autonomous Vehicles5▲ 7.5×4 topics
- Optical Flow5▲ 32×1 topic
- Probiotics5▲ 6.6×1 topic
- Representation Learning5▲ 9.8×3 topics
- Stereo Vision5▲ 32×1 topic
- Localization4▲ 13×2 topics
- 3D Mapping4▲ 21×1 topic
- 3D Reconstruction4▲ 17×2 topics
- Point Clouds4▲ 17×2 topics
- SLAM4▲ 21×1 topic
- Image Segmentation4▲ 12×3 topics
- Meta-Learning4▲ 17×2 topics
- Pose Estimation4▲ 12×2 topics
- Collision Avoidance4▲ 7.5×2 topics
- Mesh Segmentation4▲ 44×1 topic
- Shape Representation4▲ 44×1 topic
- Adversarial Examples4▲ 24×1 topic
- Image Captioning4▲ 24×1 topic
- Robustness4▲ 24×1 topic
- Visual Question Answering4▲ 15×1 topic
- Deep Neural Networks4▲ 11×3 topics
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.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 26.7% in 2022.
Discussion
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