- Research works
- 23 ▲ 129% vs 2013–17
- Citations
- 104 4.5 per fractional work
- Top-10% rate
- 10.7% record average 16.5%
- Open access
- 72% world 28%
Not ranked overall: Tibetan Children’s Village is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
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: Health Professions, 4.1×. Every wedge is a field page.
Which keywords describe research at Tibetan Children’s Village?
By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Healthcare, Machine Learning, Mental Health, Precision Medicine, Medical Imaging, Vibration Analysis and Acculturation.
- Medical Diagnosis
- Emotion Recognition
- Big Data Analytics
- Nonlinear Dynamics
- Vibration Analysis
- Epidemiology
- Mental Health
- Healthcare
- Deep Learning
- Machine Learning
- Precision Medicine
- Medical Imaging
- Acculturation
- Psychological Adjustment
- Electronic Health Records
- Feature Extraction
- Predictive Modeling
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 17 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 17 words, with their numbers
- Deep Learning4▲ 7.9×10 topics
- Healthcare3▲ 18×4 topics
- Machine Learning3▲ 5.2×7 topics
- Mental Health2▲ 8.2×5 topics
- Precision Medicine2▲ 23×2 topics
- Epidemiology1▲ 1.32×8 topics
- Medical Imaging1▲ 19×3 topics
- Vibration Analysis1▲ 17×2 topics
- Acculturation1▲ 90×2 topics
- Nonlinear Dynamics1▲ 19×3 topics
- Psychological Adjustment1▲ 41×2 topics
- Big Data Analytics1▲ 55×1 topic
- Electronic Health Records1▲ 69×1 topic
- Emotion Recognition1▲ 34×2 topics
- Feature Extraction1▲ 16×2 topics
- Medical Diagnosis1▲ 115×1 topic
- Predictive Modeling1▲ 33×1 topic
Which research topics does Tibetan Children’s Village publish most on?
By volume in 2022–2025: Machine Learning in Healthcare, Artificial Intelligence in Healthcare, Tribology and Lubrication Engineering and Gear and Bearing Dynamics Analysis.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Machine Learning in Healthcare Artificial Intelligence 1 works
- 2 Artificial Intelligence in Healthcare Health Information Management 1 works
- 3 Tribology and Lubrication Engineering Mechanical Engineering 1 works
- 4 Gear and Bearing Dynamics Analysis Mechanical Engineering 1 works
- 5 Artificial Intelligence in Healthcare and Education Health Informatics 1 works
- 6 Cleft Lip and Palate Research Genetics 0 works
- 7 Magnetic Bearings and Levitation Dynamics Control and Systems Engineering 0 works
- 8 Hydrogels: synthesis, properties, applications Molecular Medicine 0 works
- 9 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 0 works
- 10 Gallbladder and Bile Duct Disorders Pulmonary and Respiratory Medicine 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 Tibetan Children’s Village's research output changed?
Output in 2018–2022 was 129% 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 Dharamsala
- Central University of Himachal Pradesh
- Arni University
- Men-Tsee-Khang
- Tibetan Delek Hospital
- Namgyal Tantric College
- Library of Tibetan Works and Archives
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.