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Company · Seongnam-si · South Korea

Naver (South Korea)

In research, Naver (South Korea) stands highest in Computer Science (#643 of 4,667 worldwide), Computer Vision and Pattern Recognition (#254 of 941 worldwide) and Physical Sciences (#4,265 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science — Computer Vision and Pattern Recognition is 16.1× its share of world research.

navercorp.comROR OpenAlex
World rank, 2022–2025
#5,892
of 28,054 · #9,858 all time
Rank in South Korea
#110
of 417
Research works
867
▲ 266% vs 2013–17
Citations
27k
30.6 per fractional work
Top-10% rate
25.9%
record average 16.5%
Open access
51%
world 28%

What is Naver (South Korea) 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 #643 of 4,667 32.3%195 #1123
Computer Vision and Pattern RecognitionSubfield #254 of 941 38.7%78 #510
Physical SciencesDomain #4,265 of 12,888 29.5%269 #7020
Artificial IntelligenceSubfield #801 of 1,884 29.2%79 #1198

Each strip is that field’s whole ranked pool, with the notch where Naver (South Korea) 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#1,123 #643
  2. Computer Vision and Pattern Recognition#510 #254
  3. Physical Sciences#7,020 #4,265
  4. Artificial Intelligence#1,198 #801
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 Naver (South Korea) specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 16.1× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 77.9 works16×
  2. Artificial IntelligenceSubfield · 79.0 works8.5×
  3. Computer ScienceField · 195.1 works6.5×
← 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: 0.34× its world share, 6 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.54× its world share, 11 worksBiochemistry, Geneti…Immunology and Microbiology: 0.39× its world share, 2 worksImmunology and Micro…Neuroscience: 0.59× its world share, 4 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.93× its world share, 1 worksPharmacology, Toxico…Chemical Engineering: 0.14× its world share, 0 worksChemical EngineeringChemistry: 0.06× its world share, 0 worksChemistryComputer Science: 6.52× its world share, 195 worksComputer ScienceEarth and Planetary Sciences: 0.67× its world share, 4 worksEarth and Planetary …Energy: 0.12× its world share, 0 worksEnergyEngineering: 0.94× its world share, 54 worksEngineeringEnvironmental Science: 0.56× its world share, 11 worksEnvironmental ScienceMaterials Science: 0.13× its world share, 2 worksMaterials ScienceMathematics: 0.16× its world share, 1 worksMathematicsPhysics and Astronomy: 0.23× its world share, 2 worksPhysics and AstronomyDentistry: 0.86× its world share, 2 worksDentistryHealth Professions: 0.41× its world share, 4 worksHealth ProfessionsMedicine: 0.66× its world share, 48 worksMedicineNursing: 0.35× its world share, 1 worksNursingVeterinary: 0.43× its world share, 0 worksVeterinaryArts and Humanities: 0.08× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 0.23× its world share, 3 worksBusiness, Management…Decision Sciences: 1.19× its world share, 4 worksDecision SciencesEconomics, Econometrics and Finance: 0.31× its world share, 2 worksEconomics, Econometr…Psychology: 0.85× its world share, 10 worksPsychologySocial Sciences: 0.32× its world share, 16 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 6.5×. Every wedge is a field page.

Who are the top researchers at Naver (South Korea)?

Ranked on the composite score, Philippe Weinzaepfel, Diane Larlus and Dongyoon Han lead among researchers whose main affiliation is Naver (South Korea).

  1. 1 Philippe Weinzaepfel South Korea · #66,223 worldwide 505 citations · 33 works
  2. 2 Diane Larlus South Korea · #135,972 worldwide 374 citations · 45 works
  3. 3 Dongyoon Han South Korea · #137,203 worldwide 408 citations · 39 works
  4. 4 Jérôme Revaud South Korea · #139,800 worldwide 326 citations · 23 works
  5. 5 Youngjoon Yoo South Korea · #150,280 worldwide 343 citations · 20 works
  6. 6 Sanghyuk Chun South Korea · #257,889 worldwide 232 citations · 27 works
  7. 7 Jung-Woo Ha South Korea · #293,413 worldwide 244 citations · 49 works
  8. 8 Ga‐Young Lee South Korea · #319,789 worldwide 146 citations · 16 works
  9. 9 Grégory Rogez South Korea · #342,741 worldwide 201 citations · 29 works
  10. 10 Byeongho Heo South Korea · #491,428 worldwide 149 citations · 25 works
All ranked researchers at Naver (South Korea)

Which keywords describe research at Naver (South Korea)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Unsupervised Learning, Information Retrieval, Representation Learning, Text Classification and Topic Modeling.

▲ 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 Learning100▲ 7.6×62 topics
  2. Neural Networks64▲ 11×28 topics
  3. Convolutional Neural Networks34▲ 12×14 topics
  4. Machine Learning22▲ 1.75×41 topics
  5. Unsupervised Learning21▲ 38×3 topics
  6. Information Retrieval19▲ 23×5 topics
  7. Representation Learning17▲ 32×3 topics
  8. Text Classification17▲ 28×2 topics
  9. Topic Modeling16▲ 28×2 topics
  10. Machine Translation16▲ 25×1 topic
  11. Word Representation16▲ 34×1 topic
  12. Convolutional Networks14▲ 26×3 topics
  13. Neural Machine Translation14▲ 37×1 topic
  14. Statistical Machine Translation14▲ 37×1 topic
  15. Image Captioning13▲ 68×1 topic
  16. Visual Question Answering13▲ 42×1 topic
  17. Semi-Supervised Learning12▲ 29×3 topics
  18. Meta-Learning12▲ 37×2 topics
  19. Deep Neural Networks11▲ 27×3 topics
  20. Transfer Learning10▲ 14×3 topics
  21. Computer Vision10▲ 9.8×4 topics
  22. Image Classification10▲ 15×2 topics
  23. Domain Adaptation10▲ 49×1 topic
  24. Few-Shot Learning10▲ 49×1 topic
  25. Feature Matching9▲ 40×1 topic
  26. Local Descriptors9▲ 40×1 topic
  27. Image Recognition9▲ 17×1 topic
  28. Object Detection9▲ 18×1 topic
  29. Acoustic Modeling9▲ 61×1 topic
  30. Speaker Verification9▲ 61×1 topic
  31. Generative Adversarial Networks9▲ 28×2 topics
  32. Pose Estimation8▲ 19×3 topics
  33. Robotics8▲ 8.3×3 topics
  34. Mobile Robots7▲ 18×2 topics
  35. Depth Estimation6▲ 20×2 topics
  36. Reinforcement Learning6▲ 15×4 topics
  37. Localization6▲ 13×2 topics
  38. 3D Mapping6▲ 22×1 topic
  39. SLAM6▲ 22×1 topic
  40. Image Inpainting6▲ 37×1 topic

Which research topics does Naver (South Korea) publish most on?

By volume in 2022–2025: Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications and Domain Adaptation and Few-Shot Learning.

Topic Modeling16Topic Modeling: 16 fractional worksNatural Language Process…14Natural Language Processing Techniques: 14 fractional worksMultimodal Machine Learn…13Multimodal Machine Learning Applications: 13 fractional worksDomain Adaptation and Fe…10Domain Adaptation and Few-Shot Learning: 10 fractional worksAdvanced Image and Video Retrieval Techniques: 9 fractional worksAdvanced Neural Network Applications: 9 fractional worksSpeech Recognition and S…9Speech Recognition and Synthesis: 9 fractional worksRobotics and Sensor-Based Localization: 6 fractional worksGenerative Adversarial Networks and Image Synthesis: 6 fractional worksAdvanced Vision and Imaging: 6 fractional works
Artificial IntelligenceComputer Vision and Pattern RecognitionAerospace Engineering

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

  1. 1 Topic Modeling Artificial Intelligence 16 works
  2. 2 Natural Language Processing Techniques Artificial Intelligence 14 works
  3. 3 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 13 works
  4. 4 Domain Adaptation and Few-Shot Learning Artificial Intelligence 10 works
  5. 5 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 9 works
  6. 6 Advanced Neural Network Applications Computer Vision and Pattern Recognition 9 works
  7. 7 Speech Recognition and Synthesis Artificial Intelligence 9 works
  8. 8 Robotics and Sensor-Based Localization Aerospace Engineering 6 works
  9. 9 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 6 works
  10. 10 Advanced Vision and Imaging Computer Vision and Pattern Recognition 6 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 available51.4%not open48.6%

World: 28% of research is openly available.

with international co-authors27.5%domestic only72.5%

World: 19% is written across borders.

How has Naver (South Korea)'s research output changed?

Output in 2018–2022 was 266% higher 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 Seongnam-si

All research institutions in Seongnam-si

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.