Thomson Reuters (United States)
In research, Thomson Reuters (United States) stands highest in Health Sciences (#3,652 of 16,688 worldwide), Medicine (#3,397 of 14,558 worldwide) and Computer Science (#1,515 of 6,336 worldwide), over all time.
- World rank, all time
- #3,778 of 34,923
- Rank in United States
- #865 of 7,310
- Research works
- 743 ▼ 62% vs 2018-21
- Citations
- 21k 28.6 per fractional work
- Top-10% rate
- 12.0% all institutions 10.0%
- vs its own fields
- 1.09× 1.00× is exactly expected
- Open access
- 23% world 40%
- International
- 17% world 18%
What is Thomson Reuters (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 |
|---|---|---|---|---|
| Health SciencesDomain | #3,652 of 16,688 | 9.7% | 213 | |
| MedicineField | #3,397 of 14,558 | 9.9% | 163 | |
| Computer ScienceField | #1,515 of 6,336 | 16.2% | 161 | |
| Social SciencesDomain | #3,906 of 14,833 | 11.4% | 267 | |
| Physical SciencesDomain | #4,748 of 17,446 | 15.9% | 208 |
Each strip is that field's whole ranked pool, with the notch where Thomson Reuters (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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which fields of science does Thomson Reuters (United States) work in?
In 2022-now, 41% of research at Thomson Reuters (United States) is in Social Sciences, 40% in Physical Sciences. Its largest fields are Social Sciences (25%), Computer Science (23%), Medicine (10%). It does 1.5× the world's share of Social 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 institution does than the world.
Its 4 domains and 22 fields, with their numbers
- Social Sciences1341.0%
- Physical Sciences1339.8%
- Computer Science723.2%
- Engineering26.4%
- Environmental Science14.5%
- Physics and Astronomy13.7%
- Materials Science00.7%
- Chemical Engineering00.5%
- Energy00.3%
- Earth and Planetary Sciences00.2%
- Chemistry00.2%
- Health Sciences412.6%
- Medicine310.0%
- Health Professions12.0%
- Nursing00.6%
- Life Sciences26.6%
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: Computer Science, 3.0×. Every wedge is a field page.
All 22 fields, with their numbers
- Computer Science2.98×7 works
- Social Sciences2.01×8 works
- Psychology1.97×2 works
- Business, Management and Accounting1.67×2 works
- Physics and Astronomy1.66×1 works
- Economics, Econometrics and Finance1.57×1 works
- Neuroscience1.40×1 works
- Chemical Engineering1.35×0 works
- Nursing1.15×0 works
- Environmental Science0.92×1 works
- Health Professions0.76×1 works
- Biochemistry, Genetics and Molecular Biology0.75×1 works
- Pharmacology, Toxicology and Pharmaceutics0.60×0 works
- Medicine0.52×3 works
- Decision Sciences0.47×0 works
- Engineering0.43×2 works
- Energy0.34×0 works
- Materials Science0.20×0 works
- Earth and Planetary Sciences0.13×0 works
- Arts and Humanities0.12×0 works
- Chemistry0.11×0 works
- Immunology and Microbiology0.10×0 works
- Computer Science 3.0×
- Social Sciences 2.0×
- Psychology 2.0×
- Business, Management and Accounting 1.7×
- Physics and Astronomy 1.7×
- Economics, Econometrics and Finance 1.6×
- Neuroscience 1.4×
- Chemical Engineering 1.4×
- Nursing 1.1×
- Environmental Science 0.9×
- Health Professions 0.8×
- Biochemistry, Genetics and Molecular Biology 0.8×
- Pharmacology, Toxicology and Pharmaceutics 0.6×
- Medicine 0.5×
- Decision Sciences 0.5×
- Engineering 0.4×
- Energy 0.3×
- Materials Science 0.2×
- Earth and Planetary Sciences 0.1×
- Arts and Humanities 0.1×
- Chemistry 0.1×
- Immunology and Microbiology 0.1×
Who are the top researchers at Thomson Reuters (United States)?
Ranked on the quality score, Teresa B. Gibson, Jerome A. Osheroff and Jill M. Boyce lead among researchers whose main affiliation is Thomson Reuters (United States).
- 1
Teresa B. Gibson
United States · #282,324 worldwide 6.1k citations · 124 works
- 2
Jerome A. Osheroff
United States · #305,419 worldwide 4.4k citations · 37 works
- 3
Jill M. Boyce
United States · #430,192 worldwide 2.5k citations · 64 works
- 4
Frank Schilder
United States · #518,340 worldwide 1.9k citations · 89 works
- 5
Shaohung Wang
United States · #521,475 worldwide 4k citations · 37 works
- 6
Marina Bessarabova
United States · #543,730 worldwide 2.4k citations · 82 works
- 7
Ronald J. Ozminkowski
United States · #627,610 worldwide 9.6k citations · 154 works
- 8
Joshua D. Schnell
United States · #668,824 worldwide 3.9k citations · 22 works
- 9
Sameena Shah
United States · #724,878 worldwide 1.4k citations · 85 works
- 10
Ginger Smith Carls
United States · #923,344 worldwide 1.7k citations · 46 works
Which keywords describe research at Thomson Reuters (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Big Data, Artificial Intelligence, Machine Learning, Globalization, Natural Language Processing, Innovation Policy, Transparency and Neural Networks.
- Technological Revolutions
- Public Sociology
- Industrial Policy
- Fairness
- Text Classification
- Predictive
- Legal Technology
- Ethics
- Deep Learning
- Social Influence
- Economic Development
- Transparency
- Natural Language Processing
- Globalization
- Big Data
- Machine Learning
- Artificial Intelligence
- Neural Networks
- Innovation Policy
- Digital Transformation
- Epidemiology
- Topic Modeling
- Depression
- Information Retrieval
- Neural Machine Translation
- Statistical Machine Translation
- Algorithmic Bias
- Human Capital Theory
- Network Dynamics
- Social Theory
Size is fractional works in 2022-now 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 30 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 30 words, with their numbers
- Machine Learning4▲ 3.5×10 topics
- Big Data3▲ 11×6 topics
- Artificial Intelligence3▲ 6.6×7 topics
- Globalization3▲ 4.5×8 topics
- Neural Networks2▲ 3.7×2 topics
- Natural Language Processing2▲ 20×3 topics
- Innovation Policy1▲ 45×2 topics
- Transparency1▲ 29×2 topics
- Digital Transformation1▲ 6.8×3 topics
- Economic Development1▲ 4.6×2 topics
- Epidemiology1◆ 0.96×9 topics
- Social Influence1▲ 18×3 topics
- Topic Modeling1▲ 24×2 topics
- Deep Learning1◆ 0.98×5 topics
- Depression1▲ 4.1×6 topics
- Ethics1▲ 6.9×2 topics
- Information Retrieval1▲ 15×2 topics
- Legal Technology1▲ 253×1 topic
- Neural Machine Translation1▲ 38×1 topic
- Predictive1▲ 253×1 topic
- Statistical Machine Translation1▲ 38×1 topic
- Text Classification1▲ 21×2 topics
- Algorithmic Bias1▲ 37×1 topic
- Fairness1▲ 31×1 topic
- Human Capital Theory1▲ 135×1 topic
- Industrial Policy1▲ 30×2 topics
- Network Dynamics1▲ 32×2 topics
- Public Sociology1▲ 383×1 topic
- Social Theory1▲ 113×1 topic
- Technological Revolutions1▲ 152×1 topic
Which research topics does Thomson Reuters (United States) publish most on?
By volume in 2022-now: Natural Language Processing Techniques, Artificial Intelligence in Law, Topic Modeling and Ethics and Social Impacts of AI.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Natural Language Processing Techniques Artificial Intelligence 1 works
- 2 Artificial Intelligence in Law Political Science and International Relations 1 works
- 3 Topic Modeling Artificial Intelligence 1 works
- 4 Ethics and Social Impacts of AI Safety Research 1 works
- 5 Economic Development and Digital Transformation General Economics, Econometrics and Finance 1 works
- 6 Contemporary Sociological Theory and Practice Sociology and Political Science 1 works
- 7 Advanced Text Analysis Techniques Artificial Intelligence 1 works
- 8 Data Visualization and Analytics Computer Vision and Pattern Recognition 1 works
- 9 Complex Network Analysis Techniques Statistical and Nonlinear Physics 1 works
- 10 Water Quality Monitoring and Analysis Industrial and Manufacturing 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: 40% of research is openly available.
World: 18% is written across borders.
How has Thomson Reuters (United States)'s research output changed?
Output in 2022-2025 was 62% lower than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Thomson Reuters (United States) as a percentage of every work published that year, 0.000073% in 2024.
Fractional works of Thomson Reuters (United States) over all fractional works that year. How the balance of science has shifted.
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 21.9% in 2006.
Other research institutions in New York
- Columbia University
- New York University
- City University of New York
- Mount Sinai Health System
- Memorial Sloan Kettering Cancer Center
- Human Growth Foundation
- Pfizer (United States)
- Rockefeller University
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
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