PATH To Reading
In research, PATH To Reading stands highest in Physical Sciences (#14,711 of 21,541 worldwide), over all time.
- World rank, all time
- #19,027 of 42,892
- Rank in United States
- #4,127 of 8,685
- Research works
- 475 ▼ 42% vs 2013–17
- Citations
- 10k 21.1 per fractional work
- Top-10% rate
- 16.5% record average 16.5%
- Open access
- 30% world 28%
What is PATH To Reading 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 | #14,711 of 21,541 | 20.8% | 228 |
Each strip is that field’s whole ranked pool, with the notch where PATH To Reading 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.
Rings at 0.5×, 1× and 2×. Widest outward: Veterinary, 5.4×. Every wedge is a field page.
- Veterinary 5.4×
- Computer Science 3.3×
- Neuroscience 3.1×
- Physics and Astronomy 2.1×
- Psychology 1.7×
- Arts and Humanities 1.6×
- Chemistry 1.5×
- Earth and Planetary Sciences 1.5×
- Engineering 1.2×
- Decision Sciences 1.1×
- Health Professions 1.1×
- Mathematics 1.0×
- Immunology and Microbiology 0.7×
- Agricultural and Biological Sciences 0.6×
- Medicine 0.6×
- Energy 0.5×
- Economics, Econometrics and Finance 0.5×
- Social Sciences 0.4×
- Business, Management and Accounting 0.4×
- Environmental Science 0.4×
- Materials Science 0.4×
- Biochemistry, Genetics and Molecular Biology 0.3×
Who are the top researchers at PATH To Reading?
Ranked on the composite score, Paola Sosso, H. Bouma and Daniel M. Ennis lead among researchers whose main affiliation is PATH To Reading.
- 1 Paola Sosso United States · #546,865 worldwide 1 citations · 19 works
- 2 H. Bouma United States · #681,335 worldwide 55 citations · 29 works
- 3 Daniel M. Ennis United States · #687,467 worldwide 60 citations · 19 works
- 4 Mika Kuuskankare United States · #1,107,322 worldwide 42 citations · 22 works
Which keywords describe research at PATH To Reading?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Convolutional Neural Networks, Neural Networks, Machine Learning, Emotion, Feature Matching, Local Descriptors and Signal Processing.
- Public Health
- Handwriting Recognition
- Color Psychology
- Rehabilitation
- Signal Processing
- Robotics
- Biomedical Applications
- Quality of Life
- Feature Matching
- Epidemiology
- Convolutional Neural Networks
- Neural Networks
- Deep Learning
- Machine Learning
- Emotion
- Artificial Intelligence
- Local Descriptors
- Audio Signal Classification
- Music Information Retrieval
- Semi-Supervised Learning
- User Satisfaction
- Representation Learning
- Educational Technology
- Kansei Engineering
- Text Detection
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 25 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 25 words, with their numbers
- Deep Learning10▲ 5.3×30 topics
- Neural Networks4▲ 5.0×13 topics
- Machine Learning4▲ 2.3×15 topics
- Convolutional Neural Networks4▲ 9.9×5 topics
- Emotion2▲ 15×3 topics
- Epidemiology2▼ 0.71×9 topics
- Artificial Intelligence1▲ 1.72×4 topics
- Feature Matching1▲ 39×1 topic
- Local Descriptors1▲ 39×1 topic
- Quality of Life1▲ 1.57×5 topics
- Audio Signal Classification1▲ 52×1 topic
- Biomedical Applications1▲ 1.72×6 topics
- Music Information Retrieval1▲ 52×1 topic
- Robotics1▲ 8.6×3 topics
- Semi-Supervised Learning1▲ 19×3 topics
- Signal Processing1▲ 16×2 topics
- User Satisfaction1▲ 11×2 topics
- Rehabilitation1▲ 5.1×4 topics
- Representation Learning1▲ 14×3 topics
- Color Psychology1▲ 57×1 topic
- Educational Technology1▲ 1.49×3 topics
- Handwriting Recognition1▲ 81×1 topic
- Kansei Engineering1▲ 57×1 topic
- Public Health1▲ 1.28×3 topics
- Text Detection1▲ 81×1 topic
Which research topics does PATH To Reading publish most on?
By volume in 2022–2025: Advanced Image and Video Retrieval Techniques, Music and Audio Processing, Color perception and design and Handwritten Text Recognition Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 1 works
- 2 Music and Audio Processing Signal Processing 1 works
- 3 Color perception and design Social Psychology 1 works
- 4 Handwritten Text Recognition Techniques Computer Vision and Pattern Recognition 1 works
- 5 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 1 works
- 6 Radar Systems and Signal Processing Aerospace Engineering 1 works
- 7 Speech Recognition and Synthesis Artificial Intelligence 1 works
- 8 Advanced Neural Network Applications Computer Vision and Pattern Recognition 1 works
- 9 Speech and Audio Processing Signal Processing 1 works
- 10 Diverse Music Education Insights Music 1 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 PATH To Reading's research output changed?
Output in 2018–2022 was 42% 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 Encinitas
- Freedom to Live
- WilderShares (United States)
- California Institute for Human Science
- Kinder Magic Software (United States)
- GrassrootsHealth
- XRSciences (United States)
- Rebexsess (United States)
- BlueGreen Geophysics (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.