Laboratoire Images, signaux et systèmes intelligents
- World rank, all time
- #42,381 of 42,892
- Rank in ??
- #974 of 1,041
- Research works
- 121 ▲ 114% vs 2013–17
- Citations
- 1.4k 11.7 per fractional work
- Top-10% rate
- 3.6% record average 16.5%
- Open access
- 42% 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: Computer Science, 5.0×. Every wedge is a field page.
- Computer Science 5.0×
- Neuroscience 4.2×
- Engineering 1.9×
- Biochemistry, Genetics and Molecular Biology 1.4×
- Mathematics 0.9×
- Energy 0.8×
- Medicine 0.7×
- Chemistry 0.2×
- Economics, Econometrics and Finance 0.2×
- Dentistry 0.2×
- Psychology 0.2×
- Materials Science 0.1×
- Environmental Science 0.1×
- Health Professions 0.1×
- Physics and Astronomy 0.1×
- Social Sciences 0.0×
Which keywords describe research at Laboratoire Images, signaux et systèmes intelligents?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Medical Image Analysis, Image Segmentation, Image Processing, Artificial Intelligence, Classification and Robotics.
- Vertebrae Detection
- Spine Segmentation
- Multiobjective Optimization
- Internet of Robotic Things
- Cloud Robotics
- Transfer Learning
- Feature Selection
- Biomechanics
- Actuators
- Genetic Algorithm
- Rehabilitation
- Graph Cuts
- Activity Recognition
- Texture Analysis
- Feature Extraction
- Bioimage Analysis
- Classification
- Image Processing
- Image Segmentation
- Machine Learning
- Deep Learning
- Medical Image Analysis
- Artificial Intelligence
- Neural Networks
- Robotics
- High-Content Screening
- Convolutional Neural Networks
- Active Contours
- Clustering
- Pervasive Computing
- Evolutionary Algorithms
- Internet of Things
- Medical Imaging
- Brain Tumor
- MRI
- Virtual Reality
- Exoskeletons
- Lower Limb
- Recovery
- Time Series
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 Learning12▲ 11×24 topics
- Machine Learning6▲ 6.0×8 topics
- Medical Image Analysis3▲ 62×3 topics
- Image Segmentation3▲ 76×3 topics
- Artificial Intelligence3▲ 6.3×4 topics
- Image Processing3▲ 19×3 topics
- Neural Networks2▲ 5.4×8 topics
- Classification2▲ 17×3 topics
- Robotics2▲ 29×2 topics
- Bioimage Analysis2▲ 184×1 topic
- High-Content Screening2▲ 184×1 topic
- Feature Extraction2▲ 13×4 topics
- Convolutional Neural Networks2▲ 7.9×5 topics
- Texture Analysis2▲ 25×3 topics
- Active Contours2▲ 153×1 topic
- Activity Recognition2▲ 140×1 topic
- Clustering2▲ 53×2 topics
- Graph Cuts2▲ 153×1 topic
- Pervasive Computing2▲ 140×1 topic
- Rehabilitation2▲ 12×2 topics
- Evolutionary Algorithms1▲ 46×3 topics
- Genetic Algorithm1▲ 33×3 topics
- Internet of Things1▲ 5.5×4 topics
- Actuators1▲ 27×2 topics
- Medical Imaging1▲ 8.2×3 topics
- Biomechanics1▲ 13×2 topics
- Brain Tumor1▲ 58×1 topic
- Feature Selection1▲ 18×2 topics
- MRI1▲ 48×1 topic
- Transfer Learning1▲ 21×2 topics
- Virtual Reality1▲ 7.9×2 topics
- Cloud Robotics1▲ 131×1 topic
- Exoskeletons1▲ 120×1 topic
- Internet of Robotic Things1▲ 131×1 topic
- Lower Limb1▲ 120×1 topic
- Multiobjective Optimization1▲ 66×2 topics
- Recovery1▲ 35×2 topics
- Spine Segmentation1▲ 107×1 topic
- Time Series1▲ 21×2 topics
- Vertebrae Detection1▲ 107×1 topic
Which research topics does Laboratoire Images, signaux et systèmes intelligents publish most on?
By volume in 2022–2025: Cell Image Analysis Techniques, Context-Aware Activity Recognition Systems, Medical Image Segmentation Techniques and Brain Tumor Detection and Classification.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Cell Image Analysis Techniques Biophysics 2 works
- 2 Context-Aware Activity Recognition Systems Computer Vision and Pattern Recognition 2 works
- 3 Medical Image Segmentation Techniques Computer Vision and Pattern Recognition 2 works
- 4 Brain Tumor Detection and Classification Neurology 1 works
- 5 Prosthetics and Rehabilitation Robotics Biomedical Engineering 1 works
- 6 Medical Imaging and Analysis Biomedical Engineering 1 works
- 7 Robotics and Automated Systems Control and Systems Engineering 1 works
- 8 Bayesian Methods and Mixture Models Artificial Intelligence 1 works
- 9 Heart Rate Variability and Autonomic Control Cardiology and Cardiovascular Medicine 1 works
- 10 Advanced Algorithms and Applications Control and Systems 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 Laboratoire Images, signaux et systèmes intelligents's research output changed?
Output in 2018–2022 was 114% 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.