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Research facility · Montbonnot-Saint-Martin · France

Centre Inria de l'Université Grenoble Alpes

In research, Centre Inria de l'Université Grenoble Alpes stands highest in Physical Sciences (#7,185 of 12,888 worldwide), 2022–2025.

World rank, 2022–2025
#11,970
of 28,054 · #5,717 all time
Rank in France
#484
of 1,422
Research works
956
▲ 14% vs 2013–17
Citations
62k
65.2 per fractional work
Top-10% rate
19.5%
record average 16.5%
Open access
63%
world 28%

What is Centre Inria de l'Université Grenoble Alpes known for in research?

The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorksAll time
Physical SciencesDomain #7,185 of 12,888 20.0%115 #3568

Each strip is that field’s whole ranked pool, with the notch where Centre Inria de l'Université Grenoble Alpes 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.

Agricultural and Biological Sciences: 0.26× its world share, 2 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.65× its world share, 6 worksBiochemistry, Geneti…Immunology and Microbiology: 0.11× its world share, 0 worksImmunology and Micro…Neuroscience: 0.70× its world share, 2 worksNeuroscienceChemical Engineering: 0.12× its world share, 0 worksChemical EngineeringChemistry: 0.14× its world share, 0 worksChemistryComputer Science: 4.40× its world share, 55 worksComputer ScienceEarth and Planetary Sciences: 1.79× its world share, 4 worksEarth and Planetary …Energy: 1.52× its world share, 2 worksEnergyEngineering: 1.38× its world share, 33 worksEngineeringEnvironmental Science: 0.76× its world share, 6 worksEnvironmental ScienceMaterials Science: 0.10× its world share, 1 worksMaterials ScienceMathematics: 3.42× its world share, 6 worksMathematicsPhysics and Astronomy: 1.62× its world share, 6 worksPhysics and AstronomyDentistry: 0.31× its world share, 0 worksDentistryHealth Professions: 0.46× its world share, 2 worksHealth ProfessionsMedicine: 0.19× its world share, 6 worksMedicineNursing: 0.04× its world share, 0 worksNursingArts and Humanities: 0.79× its world share, 4 worksArts and HumanitiesBusiness, Management and Accounting: 0.76× its world share, 4 worksBusiness, Management…Decision Sciences: 3.30× its world share, 5 worksDecision SciencesEconomics, Econometrics and Finance: 0.41× its world share, 1 worksEconomics, Econometr…Psychology: 0.35× its world share, 2 worksPsychologySocial Sciences: 0.63× its world share, 13 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Computer Science, 4.4×. Every wedge is a field page.

Who are the top researchers at Centre Inria de l'Université Grenoble Alpes?

Ranked on the composite score, Florence Forbes, Radu Mateescu and Nicolas Gast lead among researchers whose main affiliation is Centre Inria de l'Université Grenoble Alpes.

  1. 1 Florence Forbes France · #5,569 worldwide 1.4k citations · 107 works
  2. 2 Radu Mateescu France · #135,334 worldwide 232 citations · 48 works
  3. 3 Nicolas Gast France · #373,123 worldwide 190 citations · 46 works
  4. 4 Emmanuel Prados France · #406,782 worldwide 66 citations · 23 works
  5. 5 François Rechenmann France · #449,797 worldwide 34 citations · 24 works
  6. 6 Stéphane Girard France · #803,215 worldwide 260 citations · 264 works
  7. 7 Frédéric Lang France · #818,661 worldwide 46 citations · 22 works
  8. 8 Pierre Genevès France · #920,156 worldwide 35 citations · 32 works
  9. 9 Yutong Ban France · #1,075,070 worldwide 63 citations · 24 works
  10. 10 Julyan Arbel France · #1,199,345 worldwide 40 citations · 54 works
All ranked researchers at Centre Inria de l'Université Grenoble Alpes

Which keywords describe research at Centre Inria de l'Université Grenoble Alpes?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Remote Sensing, Neural Networks, Distributed Systems, Hyperspectral, High-Performance Computing and Parallel Computing.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

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
  1. Deep Learning25▲ 4.6×55 topics
  2. Machine Learning12▲ 2.3×48 topics
  3. Neural Networks8▲ 3.2×24 topics
  4. Remote Sensing7▲ 3.7×20 topics
  5. Climate Change6▲ 1.41×26 topics
  6. Sustainability6▲ 1.44×24 topics
  7. Distributed Systems5▲ 17×5 topics
  8. Convolutional Neural Networks4▲ 3.8×10 topics
  9. Classification4▲ 5.3×8 topics
  10. Feature Extraction4▲ 5.3×7 topics
  11. High-Performance Computing4▲ 29×2 topics
  12. Hyperspectral4▲ 28×2 topics
  13. Security4▲ 3.5×13 topics
  14. Parallel Computing4▲ 19×4 topics
  15. Big Data4▲ 2.4×13 topics
  16. Surveillance3▲ 7.6×5 topics
  17. Support Vector Machines3▲ 6.1×6 topics
  18. Resource Management3▲ 10×3 topics
  19. Sparse Representation3▲ 8.8×6 topics
  20. GPU Computing3▲ 42×1 topic
  21. Model Checking3▲ 36×3 topics
  22. Multicore Architectures3▲ 42×1 topic
  23. Performance Optimization3▲ 25×2 topics
  24. Anomaly Detection2▲ 5.2×3 topics
  25. Change Detection2▲ 22×1 topic
  26. Convex Optimization2▲ 20×5 topics
  27. Convolutional Networks2▲ 11×3 topics
  28. Image Analysis2▲ 16×1 topic
  29. Fault Tolerance2▲ 9.4×5 topics
  30. Sensor Fusion2▲ 14×3 topics
  31. Dynamic Scheduling2▲ 35×2 topics
  32. Intelligent Transportation Systems2▲ 9.4×4 topics
  33. Network Dynamics2▲ 14×3 topics
  34. Bayesian Inference2▲ 14×5 topics
  35. Pose Estimation2▲ 12×3 topics
  36. Temporal Logic2▲ 40×2 topics
  37. Traffic Flow2▲ 13×2 topics
  38. Data Integration2▲ 7.5×6 topics
  39. Semantic Web2▲ 13×4 topics
  40. Travel Behavior2▲ 13×2 topics

Which research topics does Centre Inria de l'Université Grenoble Alpes publish most on?

By volume in 2022–2025: Parallel Computing and Optimization Techniques, Remote-Sensing Image Classification, Formal Methods in Verification and 3D Shape Modeling and Analysis.

  1. 1 Parallel Computing and Optimization Techniques Hardware and Architecture 3 works
  2. 2 Remote-Sensing Image Classification Media Technology 2 works
  3. 3 Formal Methods in Verification Computational Theory and Mathematics 2 works
  4. 4 3D Shape Modeling and Analysis Computational Mechanics 2 works
  5. 5 Privacy, Security, and Data Protection Sociology and Political Science 2 works
  6. 6 Human Pose and Action Recognition Computer Vision and Pattern Recognition 2 works
  7. 7 Global Energy and Sustainability Research Renewable Energy, Sustainability and the Environment 2 works
  8. 8 Advanced Queuing Theory Analysis Management Information Systems 2 works
  9. 9 Transportation Planning and Optimization Transportation 2 works
  10. 10 Advanced Image Fusion Techniques Media Technology 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.

openly available62.7%not open37.3%

World: 28% of research is openly available.

with international co-authors32.3%domestic only67.7%

World: 19% is written across borders.

How has Centre Inria de l'Université Grenoble Alpes's research output changed?

Output in 2018–2022 was 14% higher than in 2013–2017.

199520002005201020152020
grewheldshrank

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 Montbonnot-Saint-Martin

All research institutions in Montbonnot-Saint-Martin

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.