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Laboratoire Informatique Paris Descartes

In research, Laboratoire Informatique Paris Descartes stands highest in Physical Sciences (#19,119 of 21,541 worldwide), over all time. Relative to its size it is most specialised in Computer Science and Physical Sciences — Computer Science is 8.7× its share of world research.

lipade.mi.parisdescartes.frROR OpenAlex
World rank, all time
#34,711
of 42,892
Rank in France
#1,904
of 2,321
Research works
173
▼ 8% vs 2013–17
Citations
2.5k
14.2 per fractional work
Top-10% rate
12.9%
record average 16.5%
Open access
43%
world 28%

What is Laboratoire Informatique Paris Descartes known for in research?

The fields where it stands highest, over all time, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorks
Physical SciencesDomain #19,119 of 21,541 22.5%145

Each strip is that field’s whole ranked pool, with the notch where Laboratoire Informatique Paris Descartes 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 Laboratoire Informatique Paris Descartes specialise in?

Where its research is concentrated relative to its size: Computer Science takes 8.7× the share of its output that it takes of world research.

  1. Computer ScienceField · 27.6 works8.7×
  2. Physical SciencesDomain · 33.8 works2.1×
← less than its size predicts1×more →

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.

Agricultural and Biological Sciences: 0.23× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.25× its world share, 0 worksBiochemistry, Geneti…Neuroscience: 2.02× its world share, 1 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.69× its world share, 0 worksPharmacology, Toxico…Computer Science: 8.68× its world share, 28 worksComputer ScienceEarth and Planetary Sciences: 1.32× its world share, 1 worksEarth and Planetary …Energy: 0.17× its world share, 0 worksEnergyEngineering: 0.56× its world share, 3 worksEngineeringEnvironmental Science: 0.57× its world share, 1 worksEnvironmental ScienceMaterials Science: 0.02× its world share, 0 worksMaterials ScienceMathematics: 0.65× its world share, 0 worksMathematicsPhysics and Astronomy: 0.38× its world share, 0 worksPhysics and AstronomyDentistry: 0.66× its world share, 0 worksDentistryHealth Professions: 0.31× its world share, 0 worksHealth ProfessionsMedicine: 0.26× its world share, 2 worksMedicineArts and Humanities: 0.06× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 0.28× its world share, 0 worksBusiness, Management…Decision Sciences: 0.55× its world share, 0 worksDecision SciencesEconomics, Econometrics and Finance: 0.29× its world share, 0 worksEconomics, Econometr…Psychology: 0.28× its world share, 0 worksPsychologySocial Sciences: 0.18× its world share, 1 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 8.7×. Every wedge is a field page.

Who are the top researchers at Laboratoire Informatique Paris Descartes?

Ranked on the composite score, Camille Kurtz lead among researchers whose main affiliation is Laboratoire Informatique Paris Descartes.

  1. 1 Camille Kurtz France · #966,999 worldwide 89 citations · 42 works
All ranked researchers at Laboratoire Informatique Paris Descartes

Which keywords describe research at Laboratoire Informatique Paris Descartes?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Feature Extraction, Image Captioning, Visual Question Answering, Description Logics and Knowledge Representation.

▲ 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 Learning14▲ 9.7×44 topics
  2. Neural Networks7▲ 10×15 topics
  3. Machine Learning6▲ 4.2×26 topics
  4. Feature Extraction3▲ 14×8 topics
  5. Description Logics2▲ 105×2 topics
  6. Image Captioning2▲ 106×1 topic
  7. Knowledge Representation2▲ 58×2 topics
  8. Visual Question Answering2▲ 65×1 topic
  9. Convolutional Neural Networks2▲ 6.4×6 topics
  10. Multi-Agent Systems2▲ 25×3 topics
  11. Object Recognition2▲ 61×2 topics
  12. Representation Learning2▲ 33×3 topics
  13. Agent-Based Modeling2▲ 33×2 topics
  14. Artificial Intelligence2▲ 3.3×5 topics
  15. Feature Matching2▲ 72×1 topic
  16. Local Descriptors2▲ 72×1 topic
  17. Argumentation Frameworks2▲ 371×1 topic
  18. Semi-Supervised Learning2▲ 38×2 topics
  19. Software Engineering2▲ 45×1 topic
  20. Time Series2▲ 23×2 topics
  21. Model Checking2▲ 85×2 topics
  22. Information Retrieval2▲ 17×2 topics
  23. Answer Set Programming1▲ 226×1 topic
  24. Belief Revision1▲ 226×1 topic
  25. Machine Translation1▲ 21×1 topic
  26. Modal Logic1▲ 122×2 topics
  27. Word Representation1▲ 29×1 topic
  28. Content-Based Image Retrieval1▲ 110×1 topic
  29. Security1▲ 4.9×8 topics
  30. Shape Matching1▲ 110×1 topic
  31. Clustering Algorithms1▲ 40×2 topics
  32. GPS Trajectories1▲ 112×1 topic
  33. Meta-Learning1▲ 36×2 topics
  34. Trajectory Data Mining1▲ 112×1 topic
  35. Data Integration1▲ 16×4 topics
  36. Remote Sensing1▲ 2.1×9 topics
  37. Semantic Web1▲ 29×3 topics
  38. Unsupervised Learning1▲ 19×3 topics
  39. Graph Convolutional Networks1▲ 23×2 topics
  40. Heterogeneous Networks1▲ 27×2 topics

Which research topics does Laboratoire Informatique Paris Descartes publish most on?

By volume in 2022–2025: Multimodal Machine Learning Applications, Advanced Image and Video Retrieval Techniques, Multi-Agent Systems and Negotiation and Logic, Reasoning, and Knowledge.

Multimodal Machine Learn…2Multimodal Machine Learning Applications: 2 fractional worksAdvanced Image and Video…2Advanced Image and Video Retrieval Techniques: 2 fractional worksMulti-Agent Systems and …2Multi-Agent Systems and Negotiation: 2 fractional worksLogic, Reasoning, and Kn…1Logic, Reasoning, and Knowledge: 1 fractional worksTopic Modeling1Topic Modeling: 1 fractional worksImage Retrieval and Classification Techniques: 1 fractional worksData Management and Algo…1Data Management and Algorithms: 1 fractional worksTime Series Analysis and Forecasting: 1 fractional worksAdvanced Graph Neural Networks: 1 fractional worksDomain Adaptation and Few-Shot Learning: 1 fractional works
Computer Vision and Pattern RecognitionArtificial IntelligenceSignal Processing

Area is fractional works; colour is the subfield each topic belongs to.

  1. 1 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 2 works
  2. 2 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 2 works
  3. 3 Multi-Agent Systems and Negotiation Artificial Intelligence 2 works
  4. 4 Logic, Reasoning, and Knowledge Artificial Intelligence 1 works
  5. 5 Topic Modeling Artificial Intelligence 1 works
  6. 6 Image Retrieval and Classification Techniques Computer Vision and Pattern Recognition 1 works
  7. 7 Data Management and Algorithms Signal Processing 1 works
  8. 8 Time Series Analysis and Forecasting Signal Processing 1 works
  9. 9 Advanced Graph Neural Networks Artificial Intelligence 1 works
  10. 10 Domain Adaptation and Few-Shot Learning Artificial Intelligence 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 available43.0%not open57.0%

World: 28% of research is openly available.

with international co-authors39.1%domestic only60.9%

World: 19% is written across borders.

How has Laboratoire Informatique Paris Descartes's research output changed?

Output in 2018–2022 was 8% lower than in 2013–2017.

2005201020152020
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 Paris

All research institutions in Paris

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.