Intelligent Machines (Sweden)
In research, Intelligent Machines (Sweden) stands highest in Physical Sciences (#6,344 of 10,670 worldwide), 2022-now. Relative to its size it is most specialised in Computer Science (Computer Science is 4.3× its share of world research).
- World rank, 2022-now
- #16,121 of 22,385 · #12,581 all time
- Rank in Sweden
- #81 of 107
- Research works
- 458 ▲ 88% vs 2018-21
- Citations
- 9.6k 20.9 per fractional work
- Top-10% rate
- 8.5% all institutions 10.0%
- vs its own fields
- 1.07× 1.00× is exactly expected
- Open access
- 36% world 40%
- International
- 70% world 18%
What is Intelligent Machines (Sweden) known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Physical SciencesDomain | #6,344 of 10,670 | 8.0% | 64 | #5197 |
Each strip is that field's whole ranked pool, with the notch where Intelligent Machines (Sweden) 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 Intelligent Machines (Sweden) work in?
In 2022-now, 76% of research at Intelligent Machines (Sweden) is in Physical Sciences, 9% in Health Sciences. Its largest fields are Computer Science (34%), Engineering (31%), Medicine (7%). It does 1.9× the world's share of Physical 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 24 fields, with their numbers
- Physical Sciences8175.6%
- Computer Science3633.8%
- Engineering3431.5%
- Environmental Science43.4%
- Physics and Astronomy32.5%
- Materials Science22.0%
- Earth and Planetary Sciences11.0%
- Mathematics10.5%
- Chemistry00.5%
- Energy00.2%
- Chemical Engineering00.2%
- Health Sciences108.9%
- Medicine87.4%
- Dentistry10.9%
- Health Professions00.4%
- Nursing00.1%
- Life Sciences98.4%
- Social Sciences87.1%
What does Intelligent Machines (Sweden) specialise in?
Where its research is concentrated relative to its size: Computer Science takes 4.3× the share of its output that it takes of world research.
- Computer ScienceField · 36.3 works4.3×
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, 4.3×. Every wedge is a field page.
All 24 fields, with their numbers
- Computer Science4.35×36 works
- Neuroscience3.07×5 works
- Engineering2.10×34 works
- Dentistry1.92×1 works
- Physics and Astronomy1.15×3 works
- Decision Sciences0.93×1 works
- Psychology0.72×2 works
- Environmental Science0.68×4 works
- Earth and Planetary Sciences0.62×1 works
- Materials Science0.58×2 works
- Chemical Engineering0.48×0 works
- Mathematics0.45×1 works
- Medicine0.39×8 works
- Agricultural and Biological Sciences0.38×2 works
- Chemistry0.30×0 works
- Biochemistry, Genetics and Molecular Biology0.27×2 works
- Social Sciences0.26×4 works
- Energy0.24×0 works
- Health Professions0.17×0 works
- Economics, Econometrics and Finance0.15×0 works
- Nursing0.13×0 works
- Arts and Humanities0.13×0 works
- Immunology and Microbiology0.10×0 works
- Business, Management and Accounting0.02×0 works
- Computer Science 4.3×
- Neuroscience 3.1×
- Engineering 2.1×
- Dentistry 1.9×
- Physics and Astronomy 1.1×
- Decision Sciences 0.9×
- Psychology 0.7×
- Environmental Science 0.7×
- Earth and Planetary Sciences 0.6×
- Materials Science 0.6×
- Chemical Engineering 0.5×
- Mathematics 0.5×
- Medicine 0.4×
- Agricultural and Biological Sciences 0.4×
- Chemistry 0.3×
- Biochemistry, Genetics and Molecular Biology 0.3×
- Social Sciences 0.3×
- Energy 0.2×
- Health Professions 0.2×
- Economics, Econometrics and Finance 0.1×
- Nursing 0.1×
- Arts and Humanities 0.1×
- Immunology and Microbiology 0.1×
- Business, Management and Accounting 0.0×
Who are the top researchers at Intelligent Machines (Sweden)?
Ranked on the quality score, Jean Vareille and 隆二 塩谷 lead among researchers whose main affiliation is Intelligent Machines (Sweden).
- 1
Jean Vareille
Sweden · #4,757,851 worldwide 5 citations · 23 works
- 2
隆二 塩谷
Sweden · #5,701,344 worldwide 0 citations · 38 works
Which keywords describe research at Intelligent Machines (Sweden)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Convolutional Neural Networks, Adaptive Control, Transfer Learning, Medical Imaging and Anomaly Detection.
- Multibody Dynamics
- Flexible Manipulators
- Convolutional Neural Network
- Robotic Manipulators
- Outlier Detection
- Patient Similarity
- Medical Image Analysis
- Electronic Health Records
- Unsupervised Learning
- Predictive Modeling
- Image Segmentation
- High-Dimensional Data
- Computer Vision
- Precision Medicine
- Big Data
- Transfer Learning
- Healthcare
- Adaptive Control
- Convolutional Neural Networks
- Machine Learning
- Deep Learning
- Neural Networks
- Medical Imaging
- Artificial Intelligence
- Classification
- Anomaly Detection
- Security
- Feature Extraction
- Dynamic Modeling
- Representation Learning
- Path Planning
- Robotics
- Convolutional Networks
- Image Recognition
- Object Detection
- Time Series
- Pose Estimation
- Unsupervised
- Feedback Control
- Intrusion Detection
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 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 Learning28▲ 7.7×56 topics
- Machine Learning13▲ 3.6×41 topics
- Neural Networks11▲ 6.7×22 topics
- Convolutional Neural Networks6▲ 7.2×9 topics
- Medical Imaging3▲ 6.0×6 topics
- Adaptive Control3▲ 23×4 topics
- Artificial Intelligence3▲ 2.1×10 topics
- Healthcare3▲ 2.6×6 topics
- Classification3▲ 6.2×7 topics
- Transfer Learning3▲ 15×3 topics
- Anomaly Detection3▲ 9.0×5 topics
- Big Data3▲ 2.7×9 topics
- Security2▲ 3.5×11 topics
- Precision Medicine2▲ 4.5×3 topics
- Feature Extraction2▲ 4.4×8 topics
- Computer Vision2▲ 6.7×2 topics
- Dynamic Modeling2▲ 45×2 topics
- High-Dimensional Data2▲ 12×2 topics
- Representation Learning2▲ 11×3 topics
- Image Segmentation2▲ 14×3 topics
- Path Planning2▲ 14×2 topics
- Predictive Modeling2▲ 6.2×2 topics
- Robotics2▲ 6.7×5 topics
- Unsupervised Learning2▲ 11×3 topics
- Convolutional Networks2▲ 12×3 topics
- Electronic Health Records2▲ 15×1 topic
- Image Recognition2▲ 11×1 topic
- Medical Image Analysis2▲ 8.4×4 topics
- Object Detection2▲ 12×1 topic
- Patient Similarity2▲ 24×1 topic
- Time Series2▲ 9.3×2 topics
- Outlier Detection2▲ 12×1 topic
- Pose Estimation2▲ 13×3 topics
- Robotic Manipulators2▲ 15×3 topics
- Unsupervised2▲ 14×1 topic
- Convolutional Neural Network2▲ 8.6×2 topics
- Feedback Control2▲ 8.7×4 topics
- Flexible Manipulators2▲ 81×1 topic
- Intrusion Detection2▲ 9.6×4 topics
- Multibody Dynamics2▲ 81×1 topic
Which research topics does Intelligent Machines (Sweden) publish most on?
By volume in 2022-now: Machine Learning in Healthcare, Advanced Neural Network Applications, Anomaly Detection Techniques and Applications and Dynamics and Control of Mechanical Systems.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Machine Learning in Healthcare Artificial Intelligence 2 works
- 2 Advanced Neural Network Applications Computer Vision and Pattern Recognition 2 works
- 3 Anomaly Detection Techniques and Applications Artificial Intelligence 2 works
- 4 Dynamics and Control of Mechanical Systems Control and Systems Engineering 2 works
- 5 Robot Manipulation and Learning Control and Systems Engineering 1 works
- 6 EEG and Brain-Computer Interfaces Cognitive Neuroscience 1 works
- 7 Brain Tumor Detection and Classification Neurology 1 works
- 8 Soil Mechanics and Vehicle Dynamics Civil and Structural Engineering 1 works
- 9 Explainable Artificial Intelligence (XAI) Artificial Intelligence 1 works
- 10 Complex Network Analysis Techniques Statistical and Nonlinear Physics 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 Intelligent Machines (Sweden)'s research output changed?
Output in 2022-2025 was 88% higher 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 Intelligent Machines (Sweden) as a percentage of every work published that year, 0.00025% in 2024.
Fractional works of Intelligent Machines (Sweden) over all fractional works that year. How the balance of science has shifted.
Other research institutions in Bromma
- National Aeronautical Research Institute
- Saab (Sweden)
- University College Stockholm
- Swedish Water & Wastewater Association
- Facilia (Sweden)
- Eurostep (Sweden)
- Atlas Antibodies (Sweden)
- Gynius (Sweden)
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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