Machine Science
In research, Machine Science stands highest in Physical Sciences (#10,647 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence — Artificial Intelligence is 5.7× its share of world research.
- World rank, 2022–2025
- #19,802 of 28,054 · #21,046 all time
- Rank in United States
- #2,884 of 4,192
- Research works
- 776 ▲ 41% vs 2013–17
- Citations
- 4.6k 5.9 per fractional work
- Top-10% rate
- 5.4% record average 16.5%
- Open access
- 54% world 28%
What is Machine Science known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #10,647 of 12,888 | 4.5% | 101 | #12351 |
Each strip is that field’s whole ranked pool, with the notch where Machine Science 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).
What does Machine Science specialise in?
Where its research is concentrated relative to its size: Artificial Intelligence takes 5.7× the share of its output that it takes of world research.
- Artificial IntelligenceSubfield · 20.8 works5.7×
Location quotient, a volume reading rather than an impact one. It surfaces small, lopsided specialities.
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, 3.8×. Every wedge is a field page.
- Computer Science 3.8×
- Dentistry 3.5×
- Decision Sciences 2.7×
- Engineering 1.9×
- Neuroscience 1.6×
- Mathematics 1.6×
- Business, Management and Accounting 0.9×
- Health Professions 0.8×
- Psychology 0.8×
- Physics and Astronomy 0.7×
- Economics, Econometrics and Finance 0.7×
- Materials Science 0.6×
- Energy 0.5×
- Medicine 0.5×
- Biochemistry, Genetics and Molecular Biology 0.4×
- Arts and Humanities 0.4×
- Social Sciences 0.4×
- Veterinary 0.3×
- Pharmacology, Toxicology and Pharmaceutics 0.3×
- Environmental Science 0.3×
- Chemistry 0.2×
- Earth and Planetary Sciences 0.2×
- Chemical Engineering 0.1×
- Agricultural and Biological Sciences 0.1×
Who are the top researchers at Machine Science?
Ranked on the composite score, S. Iwai, Harald Lang and Frank Morales lead among researchers whose main affiliation is Machine Science.
- 1 S. Iwai United States · #376,186 worldwide 14 citations · 23 works
- 2 Harald Lang United States · #1,195,966 worldwide 29 citations · 16 works
- 3 Frank Morales United States · #1,403,756 worldwide 0 citations · 90 works
Which keywords describe research at Machine Science?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Healthcare, Big Data, Artificial Intelligence, Convolutional Neural Networks and Medical Imaging.
- Human Papillomavirus
- Microstructural Evolution
- Security and Privacy
- Semantic Analysis
- Fault Tolerance
- Decision Support Systems
- Cybersecurity
- Big Data Analytics
- Semantic Web
- Tool Wear
- Data Integration
- Microstructure
- Supply Chain Management
- Internet of Things
- Energy Efficiency
- Data Mining
- Mechanical Properties
- Big Data
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Neural Networks
- Healthcare
- Convolutional Neural Networks
- Security
- Medical Imaging
- Feature Extraction
- Precision Medicine
- Cloud Computing
- Smart Cities
- Knowledge Representation
- Artificial Neural Networks
- Time Series
- Distributed Systems
- Predictive Modeling
- Deep Neural Networks
- Medical Image Analysis
- Industrial Automation
- Clinical Decision Support
- Squamous Cell Carcinoma
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 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Deep Learning20▲ 3.9×48 topics
- Machine Learning20▲ 4.0×51 topics
- Neural Networks10▲ 4.1×22 topics
- Artificial Intelligence8▲ 3.7×16 topics
- Healthcare7▲ 4.3×11 topics
- Big Data7▲ 4.8×11 topics
- Convolutional Neural Networks5▲ 4.5×8 topics
- Mechanical Properties5▲ 3.2×15 topics
- Security5▲ 4.8×10 topics
- Data Mining5▲ 4.1×10 topics
- Medical Imaging4▲ 5.7×5 topics
- Energy Efficiency4▲ 2.8×14 topics
- Feature Extraction4▲ 5.7×6 topics
- Internet of Things4▲ 3.0×8 topics
- Precision Medicine4▲ 5.3×4 topics
- Supply Chain Management3▲ 2.3×8 topics
- Cloud Computing3▲ 6.8×5 topics
- Microstructure3▲ 3.7×9 topics
- Smart Cities3▲ 7.3×5 topics
- Data Integration3▲ 11×3 topics
- Knowledge Representation3▲ 21×3 topics
- Tool Wear3▲ 13×3 topics
- Artificial Neural Networks2▲ 3.5×5 topics
- Semantic Web2▲ 18×4 topics
- Time Series2▲ 8.9×3 topics
- Big Data Analytics2▲ 7.2×3 topics
- Distributed Systems2▲ 9.1×6 topics
- Cybersecurity2▲ 6.1×3 topics
- Predictive Modeling2▲ 5.2×3 topics
- Decision Support Systems2▲ 14×2 topics
- Deep Neural Networks2▲ 13×3 topics
- Fault Tolerance2▲ 9.0×3 topics
- Medical Image Analysis2▲ 7.5×4 topics
- Semantic Analysis2▲ 37×2 topics
- Industrial Automation2▲ 19×3 topics
- Security and Privacy2▲ 6.5×2 topics
- Clinical Decision Support2▲ 8.8×1 topic
- Microstructural Evolution2▲ 7.7×4 topics
- Squamous Cell Carcinoma2▲ 14×2 topics
- Human Papillomavirus2▲ 9.2×1 topic
Which research topics does Machine Science publish most on?
By volume in 2022–2025: Artificial Intelligence in Healthcare and Education, Cognitive Computing and Networks, Head and Neck Cancer Studies and Manufacturing Process and Optimization.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Artificial Intelligence in Healthcare and Education Health Informatics 2 works
- 2 Cognitive Computing and Networks Artificial Intelligence 2 works
- 3 Head and Neck Cancer Studies Otorhinolaryngology 2 works
- 4 Manufacturing Process and Optimization Industrial and Manufacturing Engineering 2 works
- 5 Natural Language Processing Techniques Artificial Intelligence 1 works
- 6 Advanced Data Processing Techniques Control and Systems Engineering 1 works
- 7 Big Data and Business Intelligence Management Information Systems 1 works
- 8 Internet of Things and AI Information Systems 1 works
- 9 Engineering Technology and Methodologies Industrial and Manufacturing Engineering 1 works
- 10 Wireless Body Area Networks Biomedical Engineering 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 Machine Science's research output changed?
Output in 2018–2022 was 41% 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 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.