- World rank, all time
- #28,532 of 42,892
- Rank in France
- #1,651 of 2,321
- Research works
- 132 ▲ 60% vs 2013–17
- Citations
- 2.3k 17.1 per fractional work
- Top-10% rate
- 5.4% record average 16.5%
- Open access
- 27% world 28%
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: Engineering, 2.3×. Every wedge is a field page.
- Engineering 2.3×
- Medicine 2.0×
- Chemical Engineering 1.9×
- Neuroscience 1.6×
- Business, Management and Accounting 1.5×
- Decision Sciences 1.1×
- Computer Science 1.0×
- Physics and Astronomy 0.7×
- Energy 0.6×
- Environmental Science 0.6×
- Materials Science 0.5×
- Health Professions 0.4×
- Biochemistry, Genetics and Molecular Biology 0.2×
- Agricultural and Biological Sciences 0.0×
- Social Sciences 0.0×
Who are the top researchers at General Electric (France)?
Ranked on the composite score, Yves Trousset lead among researchers whose main affiliation is General Electric (France).
- 1 Yves Trousset France · #898,645 worldwide 21 citations · 18 works
Which keywords describe research at General Electric (France)?
By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Magnetic Resonance Imaging, Imaging, PET/CT, Medical Image Analysis, Perfusion Imaging, Texture Analysis and Cancer.
- Medical Applications
- Reliability
- Model Predictive Control
- Convolutional Networks
- Free-Electron Lasers
- Negative Ion Sources
- Digital Mammography
- Coronary Artery Disease
- Myocardial Infarction
- Cardiac Imaging
- Material Differentiation
- Radiation Exposure
- Susceptibility Weighted Imaging
- Spectroscopy
- Active Contours
- Machine Learning
- Texture Analysis
- Medical Image Analysis
- Cancer
- Magnetic Resonance Imaging
- Deep Learning
- Imaging
- PET/CT
- Perfusion Imaging
- Power Electronics
- Image Segmentation
- Graph Cuts
- Parallel Imaging
- Spectral Imaging
- Dual-Energy CT
- Renewable Energy Integration
- Medical Imaging
- Computed Tomography Angiography
- Myocardial Perfusion
- Mammographic Density
- Superconducting Cavities
- X-Ray
- Convolutional Neural Networks
- Fault Tolerance
- Chemical Kinetics
Size is fractional works in all years 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 Learning17▲ 6.2×22 topics
- Magnetic Resonance Imaging13▲ 27×7 topics
- Imaging9▲ 19×2 topics
- Cancer9▲ 4.7×1 topic
- PET/CT9▲ 87×1 topic
- Medical Image Analysis8▲ 49×3 topics
- Perfusion Imaging7▲ 55×2 topics
- Texture Analysis7▲ 37×2 topics
- Power Electronics7▲ 19×6 topics
- Machine Learning6▲ 2.2×15 topics
- Image Segmentation6▲ 61×3 topics
- Active Contours6▲ 116×1 topic
- Graph Cuts6▲ 116×1 topic
- Spectroscopy6▲ 14×3 topics
- Parallel Imaging6▲ 61×1 topic
- Susceptibility Weighted Imaging6▲ 61×1 topic
- Spectral Imaging5▲ 62×2 topics
- Radiation Exposure5▲ 31×2 topics
- Dual-Energy CT5▲ 87×1 topic
- Material Differentiation5▲ 87×1 topic
- Renewable Energy Integration4▲ 13×3 topics
- Cardiac Imaging4▲ 19×2 topics
- Medical Imaging4▲ 10×8 topics
- Myocardial Infarction3▲ 9.7×2 topics
- Computed Tomography Angiography3▲ 31×1 topic
- Coronary Artery Disease3▲ 21×2 topics
- Myocardial Perfusion3▲ 31×1 topic
- Digital Mammography3▲ 134×1 topic
- Mammographic Density3▲ 134×1 topic
- Negative Ion Sources3▲ 48×1 topic
- Superconducting Cavities3▲ 48×1 topic
- Free-Electron Lasers3▲ 75×1 topic
- X-Ray3▲ 75×1 topic
- Convolutional Networks3▲ 17×2 topics
- Convolutional Neural Networks3▲ 4.7×6 topics
- Model Predictive Control2▲ 7.7×3 topics
- Fault Tolerance2▲ 8.2×3 topics
- Reliability2▲ 18×2 topics
- Chemical Kinetics2▲ 15×2 topics
- Medical Applications2▲ 19×3 topics
Which research topics does General Electric (France) publish most on?
By volume in 2022–2025: Medical Imaging Techniques and Applications, Digital Radiography and Breast Imaging, HVDC Systems and Fault Protection and AI in cancer detection.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Medical Imaging Techniques and Applications Radiology, Nuclear Medicine and Imaging 1 works
- 2 Digital Radiography and Breast Imaging Pulmonary and Respiratory Medicine 1 works
- 3 HVDC Systems and Fault Protection Electrical and Electronic Engineering 1 works
- 4 AI in cancer detection Artificial Intelligence 1 works
- 5 Advanced X-ray and CT Imaging Biomedical Engineering 0 works
- 6 Railway Systems and Energy Efficiency Industrial and Manufacturing Engineering 0 works
- 7 Nasal Surgery and Airway Studies Surgery 0 works
- 8 Tactile and Sensory Interactions Cognitive Neuroscience 0 works
- 9 Ear Surgery and Otitis Media Otorhinolaryngology 0 works
- 10 Medical Image Segmentation Techniques Computer Vision and Pattern Recognition 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 General Electric (France)'s research output changed?
Output in 2018–2022 was 60% 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.
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.