Ricoh (United States)
In research, Ricoh (United States) stands highest in Physical Sciences (#14,829 of 21,541 worldwide), over all time.
- World rank, all time
- #24,531 of 42,892
- Rank in United States
- #5,265 of 8,685
- Research works
- 215 ▼ 87% vs 2013–17
- Citations
- 7.9k 36.8 per fractional work
- Top-10% rate
- 16.7% record average 16.5%
- Open access
- 5% world 28%
What is Ricoh (United States) known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Physical SciencesDomain | #14,829 of 21,541 | 18.3% | 173 |
Each strip is that field’s whole ranked pool, with the notch where Ricoh (United States) 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).
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.
Who are the top researchers at Ricoh (United States)?
Ranked on the composite score, David G. Stork and Michael Gormish lead among researchers whose main affiliation is Ricoh (United States).
- 1 David G. Stork United States · #12,448 worldwide 545 citations · 68 works
- 2 Michael Gormish United States · #1,596,540 worldwide 5 citations · 15 works
Which keywords describe research at Ricoh (United States)?
By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Hyperspectral Imaging, Convolutional Neural Networks, Cultural Heritage, Depth Estimation, Video Coding and JPEG2000.
- Backpropagation Learning
- Microscopy
- Compound Eyes
- User Interaction
- Stereo Vision
- Holographic Displays
- Sparse Representations
- Wavelet Transform
- Content-Based Image Retrieval
- Local Descriptors
- Video Summarization
- Local Binary Patterns
- Aesthetic Perception
- Machine Vision
- Convolutional Networks
- Wavelet Compression
- Video Coding
- Depth Estimation
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Hyperspectral Imaging
- Cultural Heritage
- Machine Learning
- JPEG2000
- Image Processing
- Aesthetic Emotions
- Virtual Reality
- Content-Based Retrieval
- Neuroaesthetics
- Feature Matching
- Medical Applications
- Shape Matching
- Image Denoising
- Unsupervised Learning
- Optical Flow
- Stereoscopic Displays
- Autofocusing
- Freeform Optics
- Gesture Recognition
Size is fractional works in all years 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 Learning44▲ 9.7×32 topics
- Neural Networks25▲ 11×17 topics
- Hyperspectral Imaging16▲ 24×4 topics
- Convolutional Neural Networks14▲ 16×8 topics
- Cultural Heritage13▲ 14×8 topics
- Depth Estimation11▲ 53×2 topics
- Machine Learning10▲ 2.3×13 topics
- Video Coding9▲ 87×2 topics
- JPEG20008▲ 125×1 topic
- Wavelet Compression8▲ 125×1 topic
- Image Processing8▲ 11×5 topics
- Convolutional Networks7▲ 29×2 topics
- Aesthetic Emotions7▲ 156×2 topics
- Machine Vision7▲ 17×4 topics
- Virtual Reality7▲ 8.7×4 topics
- Aesthetic Perception7▲ 292×1 topic
- Content-Based Retrieval7▲ 116×1 topic
- Local Binary Patterns7▲ 38×2 topics
- Neuroaesthetics7▲ 292×1 topic
- Video Summarization7▲ 116×1 topic
- Feature Matching7▲ 52×1 topic
- Local Descriptors7▲ 52×1 topic
- Medical Applications7▲ 35×2 topics
- Content-Based Image Retrieval6▲ 68×1 topic
- Shape Matching6▲ 68×1 topic
- Wavelet Transform6▲ 15×2 topics
- Image Denoising6▲ 53×1 topic
- Sparse Representations6▲ 53×1 topic
- Unsupervised Learning6▲ 29×2 topics
- Holographic Displays6▲ 129×1 topic
- Optical Flow6▲ 43×1 topic
- Stereo Vision6▲ 43×1 topic
- Stereoscopic Displays6▲ 129×1 topic
- User Interaction6▲ 53×2 topics
- Autofocusing5▲ 72×1 topic
- Compound Eyes5▲ 182×1 topic
- Freeform Optics5▲ 182×1 topic
- Microscopy5▲ 41×1 topic
- Gesture Recognition4▲ 30×3 topics
- Backpropagation Learning4▲ 22×1 topic
Which research topics does Ricoh (United States) publish most on?
By volume in 2022–2025: Automated Road and Building Extraction, Flood Risk Assessment and Management, Hydrology and Watershed Management Studies and Biomedical Ethics and Regulation.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Automated Road and Building Extraction Ocean Engineering 0 works
- 2 Flood Risk Assessment and Management Global and Planetary Change 0 works
- 3 Hydrology and Watershed Management Studies Water Science and Technology 0 works
- 4 Biomedical Ethics and Regulation Physiology 0 works
- 5 3D Printing in Biomedical Research Biomedical Engineering 0 works
- 6 Biomedical and Engineering Education Biomedical Engineering 0 works
- 7 Augmented Reality Applications Computer Vision and Pattern Recognition 0 works
- 8 Anatomy and Medical Technology Biomedical Engineering 0 works
- 9 Additive Manufacturing and 3D Printing Technologies Automotive Engineering 0 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 Ricoh (United States)'s research output changed?
Output in 2018–2022 was 87% 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 Malvern
- Siemens Healthcare (United States)
- Endo Pharmaceuticals (United States)
- Immaculata University
- Reaction Biology Corporation (United States)
- Applied Pulsed Power (United States)
- TetraLogic Pharmaceuticals (United States)
- Saint-Gobain (United States)
- BioTelemetry (United States)
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.