Charles River Analytics (United States)
In research, Charles River Analytics (United States) stands highest in Physical Sciences (#11,970 of 17,446 worldwide) and Computer Science (#4,754 of 6,336 worldwide), over all time.
- World rank, all time
- #22,602 of 34,923
- Rank in United States
- #4,706 of 7,310
- Research works
- 318 ▼ 42% vs 2018-21
- Citations
- 3.8k 12.0 per fractional work
- Top-10% rate
- 6.7% all institutions 10.0%
- vs its own fields
- 0.88× 1.00× is exactly expected
- Open access
- 17% world 40%
- International
- 10% world 18%
What is Charles River Analytics (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 | #11,970 of 17,446 | 4.6% | 213 | |
| Computer ScienceField | #4,754 of 6,336 | 3.7% | 133 |
Each strip is that field's whole ranked pool, with the notch where Charles River Analytics (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 Charles River Analytics (United States) work in?
In 2022-now, 47% of research at Charles River Analytics (United States) is in Physical Sciences, 26% in Social Sciences. Its largest fields are Computer Science (26%), Psychology (14%), Engineering (12%).
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 18 fields, with their numbers
- Physical Sciences1446.5%
- Computer Science825.9%
- Engineering411.6%
- Physics and Astronomy12.7%
- Environmental Science12.6%
- Mathematics12.2%
- Earth and Planetary Sciences01.4%
- Social Sciences825.9%
- Health Sciences620.2%
- Medicine310.4%
- Health Professions39.5%
- Nursing00.3%
- Life Sciences27.3%
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: Psychology, 4.7×. Every wedge is a field page.
All 18 fields, with their numbers
- Psychology4.67×4 works
- Neuroscience4.02×2 works
- Health Professions3.63×3 works
- Computer Science3.33×8 works
- Decision Sciences2.65×1 works
- Mathematics1.87×1 works
- Physics and Astronomy1.23×1 works
- Earth and Planetary Sciences0.93×0 works
- Engineering0.77×4 works
- Immunology and Microbiology0.73×0 works
- Social Sciences0.58×2 works
- Medicine0.54×3 works
- Environmental Science0.53×1 works
- Nursing0.52×0 works
- Economics, Econometrics and Finance0.34×0 works
- Business, Management and Accounting0.27×0 works
- Arts and Humanities0.05×0 works
- Biochemistry, Genetics and Molecular Biology0.02×0 works
- Psychology 4.7×
- Neuroscience 4.0×
- Health Professions 3.6×
- Computer Science 3.3×
- Decision Sciences 2.6×
- Mathematics 1.9×
- Physics and Astronomy 1.2×
- Earth and Planetary Sciences 0.9×
- Engineering 0.8×
- Immunology and Microbiology 0.7×
- Social Sciences 0.6×
- Medicine 0.5×
- Environmental Science 0.5×
- Nursing 0.5×
- Economics, Econometrics and Finance 0.3×
- Business, Management and Accounting 0.3×
- Arts and Humanities 0.1×
- Biochemistry, Genetics and Molecular Biology 0.0×
Who are the top researchers at Charles River Analytics (United States)?
Ranked on the quality score, Mark R. Stevens, Aaron T. Winder and Phillip C. Desrochers lead among researchers whose main affiliation is Charles River Analytics (United States).
- 1
Mark R. Stevens
United States · #933,074 worldwide 5k citations · 188 works
- 2
Aaron T. Winder
United States · #1,007,896 worldwide 624 citations · 16 works
- 3
Phillip C. Desrochers
United States · #1,720,583 worldwide 307 citations · 28 works
- 4
A. K. Caglayan
United States · #2,131,772 worldwide 796 citations · 46 works
- 5
W. Scott Neal Reilly
United States · #2,433,653 worldwide 822 citations · 20 works
- 6
Camille S. Monnier
United States · #2,465,071 worldwide 266 citations · 16 works
- 7
Spencer K. Lynn
United States · #2,506,311 worldwide 868 citations · 38 works
- 8
Peter W Weyhrauch
United States · #2,612,517 worldwide 508 citations · 23 works
- 9
Curt Wu
United States · #2,751,159 worldwide 124 citations · 20 works
- 10
Subrata Kumar Das
United States · #2,775,836 worldwide 2.5k citations · 129 works
Which keywords describe research at Charles River Analytics (United States)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Machine Learning, Deep Learning, Autonomous Vehicles, Trust, Neural Networks, Automation, Driver Distraction and Global Existence.
- Social Learning
- Phylogenetics
- Clinical Decision Support Systems
- Cultural Evolution
- Global Existence
- Automation
- Autonomous Vehicles
- Deep Learning
- Machine Learning
- Neural Networks
- Trust
- Driver Distraction
- Language
- Architecture-Based Approach
- Electronic Health Records
- Security
- Software Reliability Modeling
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 17 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 17 words, with their numbers
- Machine Learning4▲ 4.3×14 topics
- Deep Learning4▲ 3.4×13 topics
- Neural Networks2▲ 5.1×6 topics
- Autonomous Vehicles2▲ 33×2 topics
- Trust2▲ 25×2 topics
- Automation2▲ 82×1 topic
- Driver Distraction2▲ 145×1 topic
- Global Existence1▲ 134×2 topics
- Language1▲ 15×2 topics
- Cultural Evolution1▲ 72×2 topics
- Architecture-Based Approach1▲ 155×1 topic
- Clinical Decision Support Systems1▲ 128×1 topic
- Electronic Health Records1▲ 32×1 topic
- Phylogenetics1▲ 66×1 topic
- Security1▲ 4.9×4 topics
- Social Learning1▲ 115×1 topic
- Software Reliability Modeling1▲ 155×1 topic
Which research topics does Charles River Analytics (United States) publish most on?
By volume in 2022-now: Human-Automation Interaction and Safety, Software Reliability and Analysis Research, Electronic Health Records Systems and Language and cultural evolution.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Human-Automation Interaction and Safety Social Psychology 2 works
- 2 Software Reliability and Analysis Research Software 1 works
- 3 Electronic Health Records Systems Health Information Management 1 works
- 4 Language and cultural evolution Cultural Studies 1 works
- 5 Model Reduction and Neural Networks Statistical and Nonlinear Physics 1 works
- 6 Navier-Stokes equation solutions Applied Mathematics 1 works
- 7 Stability and Controllability of Differential Equations Control and Systems Engineering 1 works
- 8 Topic Modeling Artificial Intelligence 1 works
- 9 EEG and Brain-Computer Interfaces Cognitive Neuroscience 1 works
- 10 Occupational Health and Safety Research Radiological and Ultrasound Technology 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: 40% of research is openly available.
World: 18% is written across borders.
How has Charles River Analytics (United States)'s research output changed?
Output in 2022-2025 was 42% 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 Charles River Analytics (United States) as a percentage of every work published that year, 0.00013% in 2024.
Fractional works of Charles River Analytics (United States) over all fractional works that year. How the balance of science has shifted.
Other research institutions in Cambridge
- Harvard University
- Massachusetts Institute of Technology
- National Bureau of Economic Research
- World Wide Web Consortium
- Biogen (United States)
- Draper Laboratory
- Cambridge Health Alliance
- Harvard Global Health Institute
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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