- World rank, all time
- #37,072 of 42,892
- Rank in United States
- #7,823 of 8,685
- Research works
- 135 ▲ 104% vs 2013–17
- Citations
- 2k 15.0 per fractional work
- Top-10% rate
- 12.2% record average 16.5%
- Open access
- 41% world 28%
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: Mathematics, 5.3×. Every wedge is a field page.
- Mathematics 5.3×
- Health Professions 3.5×
- Economics, Econometrics and Finance 3.1×
- Pharmacology, Toxicology and Pharmaceutics 2.9×
- Decision Sciences 1.7×
- Medicine 1.6×
- Psychology 1.6×
- Computer Science 1.3×
- Business, Management and Accounting 1.2×
- Immunology and Microbiology 0.9×
- Social Sciences 0.6×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Environmental Science 0.5×
- Agricultural and Biological Sciences 0.5×
- Engineering 0.4×
- Nursing 0.3×
- Arts and Humanities 0.3×
- Neuroscience 0.2×
- Physics and Astronomy 0.2×
- Chemistry 0.1×
- Materials Science 0.1×
Who are the top researchers at Medidata (United States)?
Ranked on the composite score, Prakash Navaratnam lead among researchers whose main affiliation is Medidata (United States).
- 1 Prakash Navaratnam United States · #1,015,097 worldwide 25 citations · 17 works
Which keywords describe research at Medidata (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Healthcare, Clinical Trials, Machine Learning, Deep Learning, Electronic Health Records, Sustainable Development, Precision Medicine and Data Mining.
- Ethical Guidelines
- Bed Bugs
- Globalization
- Bayesian Methods
- Quality of Life
- Propensity Score
- Patient Similarity
- Informed Consent
- Chemotherapy
- Big Data Analytics
- Digital Transformation
- Electronic Health Records
- Biomarkers
- Epidemiology
- Clinical Trials
- Deep Learning
- Machine Learning
- Healthcare
- Sustainable Development
- Data Mining
- Economic Development
- Innovation
- Precision Medicine
- Causal Inference
- Immunotherapy
- Medical Diagnosis
- Predictive Modeling
- Public Health
- Adaptive Designs
- False Discovery Rate
- Regional Development
- Community Engagement
- Scabies
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 33 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 33 words, with their numbers
- Machine Learning4▲ 2.8×10 topics
- Deep Learning4▲ 2.6×12 topics
- Healthcare3▲ 6.5×4 topics
- Clinical Trials2▲ 8.9×7 topics
- Sustainable Development2▲ 3.4×6 topics
- Epidemiology2▲ 1.22×11 topics
- Data Mining2▲ 5.6×3 topics
- Biomarkers2▲ 5.8×4 topics
- Economic Development2▲ 4.7×4 topics
- Electronic Health Records2▲ 43×2 topics
- Innovation2▲ 3.8×5 topics
- Digital Transformation2▲ 7.0×4 topics
- Precision Medicine2▲ 7.8×2 topics
- Big Data Analytics1▲ 17×1 topic
- Causal Inference1▲ 105×1 topic
- Chemotherapy1▲ 4.9×8 topics
- Immunotherapy1▲ 4.8×7 topics
- Informed Consent1▲ 47×2 topics
- Medical Diagnosis1▲ 37×1 topic
- Patient Similarity1▲ 60×1 topic
- Predictive Modeling1▲ 13×1 topic
- Propensity Score1▲ 191×1 topic
- Public Health1▲ 2.3×5 topics
- Quality of Life1▲ 2.2×6 topics
- Adaptive Designs1▲ 129×1 topic
- Bayesian Methods1▲ 57×2 topics
- False Discovery Rate1▲ 129×1 topic
- Globalization1▲ 1.33×3 topics
- Regional Development1▲ 7.6×2 topics
- Bed Bugs1▲ 205×1 topic
- Community Engagement1▲ 7.8×2 topics
- Ethical Guidelines1▲ 46×2 topics
- Scabies1▲ 205×1 topic
Which research topics does Medidata (United States) publish most on?
By volume in 2022–2025: Advanced Causal Inference Techniques, Artificial Intelligence in Healthcare, Machine Learning in Healthcare and Statistical Methods in Clinical Trials.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Causal Inference Techniques Statistics and Probability 1 works
- 2 Artificial Intelligence in Healthcare Health Information Management 1 works
- 3 Machine Learning in Healthcare Artificial Intelligence 1 works
- 4 Statistical Methods in Clinical Trials Statistics and Probability 1 works
- 5 Dermatological diseases and infestations Infectious Diseases 1 works
- 6 Ethics in Clinical Research Public Health, Environmental and Occupational Health 1 works
- 7 Economic and Financial Impacts of Cancer Economics and Econometrics 1 works
- 8 Multiple Myeloma Research and Treatments Hematology 1 works
- 9 Regional Economic Development and Innovation Strategy and Management 1 works
- 10 Economic and Technological Developments in Russia Development 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 Medidata (United States)'s research output changed?
Output in 2018–2022 was 104% 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 New York
- Columbia University
- New York University
- Icahn School of Medicine at Mount Sinai
- Memorial Sloan Kettering Cancer Center
- City University of New York
- Human Growth Foundation
- Columbia University Irving Medical Center
- Rockefeller University
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.