Charles River Analytics (United States)
In research, Charles River Analytics (United States) stands highest in Computer Science (#5,663 of 7,020 worldwide) and Physical Sciences (#17,939 of 21,541 worldwide), over all time.
- World rank, all time
- #31,386 of 42,892
- Rank in United States
- #6,707 of 8,685
- Research works
- 318 ▼ 45% vs 2013–17
- Citations
- 3.8k 12.0 per fractional work
- Top-10% rate
- 20.4% record average 16.5%
- Open access
- 17% world 28%
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 |
|---|---|---|---|---|
| Computer ScienceField | #5,663 of 7,020 | 12.0% | 133 | |
| Physical SciencesDomain | #17,939 of 21,541 | 16.3% | 213 |
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 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: Health Professions, 4.6×. Every wedge is a field page.
- Health Professions 4.6×
- Psychology 4.4×
- Decision Sciences 3.8×
- Neuroscience 3.5×
- Computer Science 3.2×
- Earth and Planetary Sciences 1.0×
- Immunology and Microbiology 0.9×
- Environmental Science 0.8×
- Nursing 0.8×
- Social Sciences 0.7×
- Engineering 0.7×
- Medicine 0.6×
- Economics, Econometrics and Finance 0.5×
- Business, Management and Accounting 0.4×
- Physics and Astronomy 0.1×
- Arts and Humanities 0.1×
Who are the top researchers at Charles River Analytics (United States)?
Ranked on the composite score, Subrata Das, Greg L. Zacharias and Mark R. Stevens lead among researchers whose main affiliation is Charles River Analytics (United States).
- 1 Subrata Das United States · #556,604 worldwide 126 citations · 34 works
- 2 Greg L. Zacharias United States · #580,244 worldwide 31 citations · 15 works
- 3 Mark R. Stevens United States · #882,726 worldwide 59 citations · 41 works
- 4 Vitaly Ablavsky United States · #1,384,421 worldwide 42 citations · 16 works
- 5 Magnús Snorrason United States · #1,523,178 worldwide 20 citations · 20 works
Which keywords describe research at Charles River Analytics (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Machine Learning, Autonomous Vehicles, Automation, Trust, Neural Networks, Deep Learning, Cultural Evolution and Clinical Decision Support Systems.
- Language
- Clinical Decision Support Systems
- Trust
- Neural Networks
- Deep Learning
- Machine Learning
- Autonomous Vehicles
- Automation
- Cultural Evolution
- Electronic Health Records
- Social Learning
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 11 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 11 words, with their numbers
- Machine Learning3▲ 4.0×12 topics
- Deep Learning2▲ 2.7×11 topics
- Autonomous Vehicles2▲ 42×2 topics
- Neural Networks2▲ 5.5×6 topics
- Automation2▲ 108×1 topic
- Trust2▲ 26×1 topic
- Cultural Evolution1▲ 107×2 topics
- Clinical Decision Support Systems1▲ 205×1 topic
- Electronic Health Records1▲ 52×1 topic
- Language1▲ 19×1 topic
- Social Learning1▲ 186×1 topic
Which research topics does Charles River Analytics (United States) publish most on?
By volume in 2022–2025: Human-Automation Interaction and Safety, Electronic Health Records Systems, Language and cultural evolution and Software Reliability and Analysis Research.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Human-Automation Interaction and Safety Social Psychology 2 works
- 2 Electronic Health Records Systems Health Information Management 1 works
- 3 Language and cultural evolution Cultural Studies 1 works
- 4 Software Reliability and Analysis Research Software 1 works
- 5 EEG and Brain-Computer Interfaces Cognitive Neuroscience 1 works
- 6 Topic Modeling Artificial Intelligence 0 works
- 7 Anomaly Detection Techniques and Applications Artificial Intelligence 0 works
- 8 Risk and Safety Analysis Statistics, Probability and Uncertainty 0 works
- 9 Ergonomics and Musculoskeletal Disorders Social Psychology 0 works
- 10 Software Engineering Research Information Systems 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 Charles River Analytics (United States)'s research output changed?
Output in 2018–2022 was 45% 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 Cambridge
- Harvard University
- Massachusetts Institute of Technology
- Center for Astrophysics Harvard & Smithsonian
- National Bureau of Economic Research
- IIT@MIT
- World Wide Web Consortium
- Broad Institute
- Smithsonian Astrophysical Observatory
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.