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Research facility · Villetaneuse · France

Laboratoire d'Informatique de Paris-Nord

In research, Laboratoire d'Informatique de Paris-Nord stands highest in Computer Science (#1,989 of 4,667 worldwide), Physical Sciences (#7,226 of 12,888 worldwide) and Artificial Intelligence (#1,652 of 1,884 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Networks and Communications, Artificial Intelligence and Computer Science — Computer Networks and Communications is 8.9× its share of world research.

lipn.univ-paris13.frROR OpenAlex
World rank, 2022–2025
#9,850
of 28,054 · #4,469 all time
Rank in France
#348
of 1,422
Research works
2.4k
▼ 20% vs 2013–17
Citations
68k
28.8 per fractional work
Top-10% rate
11.6%
record average 16.5%
Open access
44%
world 28%

What is Laboratoire d'Informatique de Paris-Nord 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
Computer ScienceField #1,989 of 4,667 11.0%173 #400
Physical SciencesDomain #7,226 of 12,888 10.5%242 #3077
Artificial IntelligenceSubfield #1,652 of 1,884 10.6%70 #461

Each strip is that field’s whole ranked pool, with the notch where Laboratoire d'Informatique de Paris-Nord 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).

Which of those standings moved

The same fields on both windows: where it stood over the whole record, and where it stands in 2022–2025. The distance is the story, and it is the one thing the two rank columns above cannot show.

  1. Computer Science#400 #1,989
  2. Physical Sciences#3,077 #7,226
  3. Artificial Intelligence#461 #1,652
all time2022–2025, better2022–2025, worse

A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.

What does Laboratoire d'Informatique de Paris-Nord specialise in?

Where its research is concentrated relative to its size: Computer Networks and Communications takes 8.9× the share of its output that it takes of world research.

  1. Computer Networks and CommunicationsSubfield · 26.0 works8.9×
  2. Artificial IntelligenceSubfield · 70.4 works8.9×
  3. Computer ScienceField · 173.5 works6.8×
  4. Computer Vision and Pattern RecognitionSubfield · 24.9 works6.1×
← 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: 0.14× its world share, 2 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.30× its world share, 5 worksBiochemistry, Geneti…Immunology and Microbiology: 0.30× its world share, 1 worksImmunology and Micro…Neuroscience: 0.80× its world share, 4 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.02× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.03× its world share, 0 worksChemical EngineeringChemistry: 0.10× its world share, 0 worksChemistryComputer Science: 6.83× its world share, 174 worksComputer ScienceEarth and Planetary Sciences: 0.11× its world share, 1 worksEarth and Planetary …Energy: 0.11× its world share, 0 worksEnergyEngineering: 0.93× its world share, 45 worksEngineeringEnvironmental Science: 0.27× its world share, 4 worksEnvironmental ScienceMaterials Science: 0.06× its world share, 1 worksMaterials ScienceMathematics: 2.60× its world share, 10 worksMathematicsPhysics and Astronomy: 0.92× its world share, 7 worksPhysics and AstronomyDentistry: 0.23× its world share, 0 worksDentistryHealth Professions: 0.77× its world share, 7 worksHealth ProfessionsMedicine: 0.21× its world share, 13 worksMedicineArts and Humanities: 0.32× its world share, 3 worksArts and HumanitiesBusiness, Management and Accounting: 0.90× its world share, 10 worksBusiness, Management…Decision Sciences: 2.39× its world share, 8 worksDecision SciencesEconomics, Econometrics and Finance: 0.28× its world share, 2 worksEconomics, Econometr…Psychology: 0.60× its world share, 6 worksPsychologySocial Sciences: 0.57× its world share, 24 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 6.8×. Every wedge is a field page.

Who are the top researchers at Laboratoire d'Informatique de Paris-Nord?

Ranked on the composite score, François Lévy, Gérard Duchamp and Vlady Ravelomanana lead among researchers whose main affiliation is Laboratoire d'Informatique de Paris-Nord.

  1. 1 François Lévy France · #815,647 worldwide 66 citations · 62 works
  2. 2 Gérard Duchamp France · #1,138,468 worldwide 53 citations · 51 works
  3. 3 Vlady Ravelomanana France · #1,171,784 worldwide 44 citations · 26 works
  4. 4 Giulio Manzonetto France · #1,271,580 worldwide 27 citations · 18 works
  5. 5 Daniel Kayser France · #1,307,497 worldwide 22 citations · 42 works
  6. 6 Christian Lavault France · #1,523,607 worldwide 5 citations · 24 works
All ranked researchers at Laboratoire d'Informatique de Paris-Nord

Which keywords describe research at Laboratoire d'Informatique de Paris-Nord?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, IoT Security, Information Retrieval, Data Mining, Text Classification and Healthcare.

▲ 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 Learning64▲ 5.7×67 topics
  2. Machine Learning49▲ 4.6×61 topics
  3. Neural Networks32▲ 6.4×30 topics
  4. Healthcare15▲ 4.0×12 topics
  5. Data Mining14▲ 5.9×11 topics
  6. IoT Security14▲ 13×3 topics
  7. Internet of Things14▲ 4.8×15 topics
  8. Information Retrieval13▲ 18×5 topics
  9. Text Classification12▲ 23×3 topics
  10. Convolutional Neural Networks12▲ 5.0×13 topics
  11. Security12▲ 5.5×14 topics
  12. Big Data11▲ 3.8×18 topics
  13. Artificial Intelligence11▲ 2.4×23 topics
  14. Topic Modeling10▲ 21×2 topics
  15. Machine Translation10▲ 18×2 topics
  16. Semantic Similarity10▲ 25×1 topic
  17. Word Representation10▲ 25×1 topic
  18. Security Analysis10▲ 17×4 topics
  19. Anomaly Detection8▲ 8.8×3 topics
  20. Corpus Linguistics8▲ 12×3 topics
  21. Feature Selection8▲ 11×6 topics
  22. Neural Machine Translation8▲ 25×1 topic
  23. Statistical Machine Translation8▲ 25×1 topic
  24. Distributed Systems8▲ 14×6 topics
  25. Classification8▲ 5.1×10 topics
  26. Feature Extraction7▲ 4.8×8 topics
  27. Model Checking7▲ 49×3 topics
  28. Cybersecurity7▲ 8.8×5 topics
  29. Behavioral Analysis6▲ 16×2 topics
  30. 5G Networks6▲ 9.0×3 topics
  31. Privacy6▲ 6.3×6 topics
  32. Smart Cities6▲ 7.1×5 topics
  33. Security and Privacy6▲ 9.3×3 topics
  34. Surveillance6▲ 6.6×6 topics
  35. Intrusion Detection5▲ 11×3 topics
  36. Mobile Edge Computing5▲ 10×2 topics
  37. Resource Management5▲ 9.1×2 topics
  38. Edge Computing5▲ 12×2 topics
  39. Temporal Logic5▲ 47×2 topics
  40. Time Series5▲ 8.6×3 topics

Which research topics does Laboratoire d'Informatique de Paris-Nord publish most on?

By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Network Security and Intrusion Detection and IoT and Edge/Fog Computing.

Topic Modeling10Topic Modeling: 10 fractional worksNatural Language Processing Techniques: 8 fractional worksNetwork Security and Intrusion Detection: 5 fractional worksIoT and Edge/Fog Computing: 5 fractional worksAdvanced Malware Detection Techniques: 4 fractional worksArtificial Intelligence in Healthcare: 4 fractional worksBlockchain Technology Ap…3Blockchain Technology Applications and Security: 3 fractional worksChaos-based Image/Signal Encryption: 3 fractional worksDistributed and Parallel Computing Systems: 3 fractional worksFormal Methods in Verification: 3 fractional works
Artificial IntelligenceComputer Networks and CommunicationsSignal ProcessingHealth Information Management3 others

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

  1. 1 Topic Modeling Artificial Intelligence 10 works
  2. 2 Natural Language Processing Techniques Artificial Intelligence 8 works
  3. 3 Network Security and Intrusion Detection Computer Networks and Communications 5 works
  4. 4 IoT and Edge/Fog Computing Computer Networks and Communications 5 works
  5. 5 Advanced Malware Detection Techniques Signal Processing 4 works
  6. 6 Artificial Intelligence in Healthcare Health Information Management 4 works
  7. 7 Blockchain Technology Applications and Security Information Systems 3 works
  8. 8 Chaos-based Image/Signal Encryption Computer Vision and Pattern Recognition 3 works
  9. 9 Distributed and Parallel Computing Systems Computer Networks and Communications 3 works
  10. 10 Formal Methods in Verification Computational Theory and Mathematics 3 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 available43.5%not open56.5%

World: 28% of research is openly available.

with international co-authors69.7%domestic only30.3%

World: 19% is written across borders.

How has Laboratoire d'Informatique de Paris-Nord's research output changed?

Output in 2018–2022 was 20% lower than in 2013–2017.

1990200020102020
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 Villetaneuse

All research institutions in Villetaneuse

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.