Naver (South Korea)
In research, Naver (South Korea) stands highest in Computer Science (#813 of 4,417 worldwide), Physical Sciences (#2,447 of 10,670 worldwide) and Computer Vision and Pattern Recognition (#284 of 963 worldwide), 2022-now. 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 15.2× its share of world research).
- World rank, 2022-now
- #4,631 of 22,385 · #6,056 all time
- Rank in South Korea
- #85 of 343
- Research works
- 867 ▲ 43% vs 2018-21
- Citations
- 27k 30.6 per fractional work
- Top-10% rate
- 16.0% all institutions 10.0%
- vs its own fields
- 1.16× 1.00× is exactly expected
- Open access
- 51% world 40%
- International
- 28% world 18%
What is Naver (South Korea) known for in research?
The fields where it stands highest, 2022-now, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| Computer ScienceField | #813 of 4,417 | 17.8% | 195 | #1338 | |
| Physical SciencesDomain | #2,447 of 10,670 | 17.7% | 269 | #4059 | |
| Computer Vision and Pattern RecognitionSubfield | #284 of 963 | 19.2% | 78 | #562 | |
| Artificial IntelligenceSubfield | #669 of 1,862 | 15.4% | 79 | #1032 |
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 average mark, because the average differs by field (from about 6% in Dentistry to 21% in Economics).
Which of those standings moved
The same fields on both windows: where it stood over the whole record, and where it stands in 2022-now. The distance is the story, and it is the one thing the two rank columns above cannot show.
- Computer Science#1,338 #813
- Physical Sciences#4,059 #2,447
- Computer Vision and Pattern Recognition#562 #284
- Artificial Intelligence#1,032 #669
A dot further right is a better standing. Fields it was not ranked in over the whole record are left out.
Which fields of science does Naver (South Korea) work in?
In 2022-now, 69% of research at Naver (South Korea) is in Physical Sciences, 14% in Health Sciences. Its largest fields are Computer Science (49%), Engineering (14%), Medicine (13%). It does 1.8× the world's share of Physical Sciences.
Each ring splits the one inside it: the four domains of science, their fields, their subfields. Size is fractional works in 2022-now. Every slice is a page; the interactive view zooms down to single topics and colours each by how much more of it this institution does than the world.
Its 4 domains and 26 fields, with their numbers
- Physical Sciences30068.9%
- Computer Science21449.2%
- Engineering5913.6%
- Environmental Science153.3%
- Earth and Planetary Sciences51.2%
- Materials Science20.5%
- Physics and Astronomy20.5%
- Mathematics10.2%
- Chemistry10.2%
- Energy00.1%
- Chemical Engineering00.0%
- Health Sciences6214.3%
- Medicine5612.7%
- Health Professions41.0%
- Dentistry20.4%
- Nursing10.2%
- Veterinary00.1%
- Social Sciences4710.8%
- Life Sciences265.9%
What does Naver (South Korea) specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 15.2× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 83.2 works15×
- Artificial IntelligenceSubfield · 89.2 works8.5×
- Computer ScienceField · 214.2 works6.3×
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.
Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 6.3×. Every wedge is a field page.
All 26 fields, with their numbers
- Computer Science6.32×214 works
- Decision Sciences1.26×5 works
- Psychology1.12×15 works
- Pharmacology, Toxicology and Pharmaceutics0.93×1 works
- Engineering0.91×59 works
- Dentistry0.76×2 works
- Earth and Planetary Sciences0.73×5 works
- Neuroscience0.68×5 works
- Environmental Science0.67×14 works
- Medicine0.66×56 works
- Biochemistry, Genetics and Molecular Biology0.50×12 works
- Nursing0.40×1 works
- Health Professions0.38×4 works
- Veterinary0.38×0 works
- Economics, Econometrics and Finance0.38×4 works
- Social Sciences0.36×20 works
- Immunology and Microbiology0.34×2 works
- Agricultural and Biological Sciences0.32×7 works
- Business, Management and Accounting0.21×3 works
- Mathematics0.20×1 works
- Physics and Astronomy0.20×2 works
- Materials Science0.15×2 works
- Chemistry0.14×1 works
- Chemical Engineering0.13×0 works
- Energy0.10×0 works
- Arts and Humanities0.08×1 works
- Computer Science 6.3×
- Decision Sciences 1.3×
- Psychology 1.1×
- Pharmacology, Toxicology and Pharmaceutics 0.9×
- Engineering 0.9×
- Dentistry 0.8×
- Earth and Planetary Sciences 0.7×
- Neuroscience 0.7×
- Environmental Science 0.7×
- Medicine 0.7×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Nursing 0.4×
- Health Professions 0.4×
- Veterinary 0.4×
- Economics, Econometrics and Finance 0.4×
- Social Sciences 0.4×
- Immunology and Microbiology 0.3×
- Agricultural and Biological Sciences 0.3×
- Business, Management and Accounting 0.2×
- Mathematics 0.2×
- Physics and Astronomy 0.2×
- Materials Science 0.1×
- Chemistry 0.1×
- Chemical Engineering 0.1×
- Energy 0.1×
- Arts and Humanities 0.1×
Who are the top researchers at Naver (South Korea)?
Ranked on the quality score, Philippe Weinzaepfel, Young‐Ho Kim and Giseop Kim lead among researchers whose main affiliation is Naver (South Korea).
- 1
Philippe Weinzaepfel
South Korea · #67,111 worldwide 6.1k citations · 98 works
- 2
Young‐Ho Kim
South Korea · #140,732 worldwide 959 citations · 42 works
- 3
Giseop Kim
South Korea · #164,390 worldwide 2.4k citations · 28 works
- 4
Sangdoo Yun
South Korea · #217,820 worldwide 13k citations · 147 works
- 5
Diane Larlus
South Korea · #260,587 worldwide 6.5k citations · 116 works
- 6
Sanghyuk Chun
South Korea · #449,229 worldwide 7.8k citations · 91 works
- 7
Yohann Cabon
South Korea · #503,282 worldwide 2.8k citations · 35 works
- 8
Byeongho Heo
South Korea · #537,071 worldwide 2.8k citations · 69 works
- 9
Junbum Cha
South Korea · #821,246 worldwide 628 citations · 22 works
- 10
Dongyoon Han
South Korea · #841,186 worldwide 11k citations · 134 works
Which keywords describe research at Naver (South Korea)?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Information Retrieval, Unsupervised Learning, Text Classification, Topic Modeling and Representation Learning.
- Depth Estimation
- Reinforcement Learning
- Human-Robot Interaction
- Generative Adversarial Networks
- Acoustic Modeling
- Feature Matching
- Image Recognition
- Few-Shot Learning
- Image Classification
- Transfer Learning
- Deep Neural Networks
- Convolutional Networks
- Neural Machine Translation
- Image Captioning
- Semantic Reasoning
- Machine Translation
- Representation Learning
- Unsupervised Learning
- Machine Learning
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Information Retrieval
- Text Classification
- Topic Modeling
- Word Representation
- Visual Question Answering
- Multimodal Fusion
- Statistical Machine Translation
- Semi-Supervised Learning
- Meta-Learning
- Computer Vision
- Domain Adaptation
- Object Recognition
- Object Detection
- Local Descriptors
- Speaker Verification
- Pose Estimation
- Robotics
- Mobile Robots
Size is fractional works in 2022-now 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 Learning108▲ 7.2×65 topics
- Neural Networks71▲ 10×29 topics
- Convolutional Neural Networks35▲ 11×14 topics
- Machine Learning26▲ 1.78×44 topics
- Information Retrieval22▲ 23×5 topics
- Unsupervised Learning22▲ 32×3 topics
- Text Classification19▲ 27×2 topics
- Representation Learning18▲ 26×3 topics
- Topic Modeling18▲ 27×3 topics
- Machine Translation18▲ 25×1 topic
- Word Representation18▲ 33×1 topic
- Semantic Reasoning16▲ 39×2 topics
- Visual Question Answering16▲ 39×2 topics
- Image Captioning15▲ 63×1 topic
- Multimodal Fusion15▲ 63×1 topic
- Neural Machine Translation15▲ 37×1 topic
- Statistical Machine Translation15▲ 37×1 topic
- Convolutional Networks14▲ 24×3 topics
- Semi-Supervised Learning13▲ 24×3 topics
- Deep Neural Networks12▲ 23×3 topics
- Meta-Learning12▲ 32×2 topics
- Transfer Learning11▲ 13×3 topics
- Computer Vision11▲ 8.9×4 topics
- Image Classification10▲ 13×3 topics
- Domain Adaptation10▲ 42×1 topic
- Few-Shot Learning10▲ 42×1 topic
- Object Recognition10▲ 30×2 topics
- Image Recognition9▲ 15×1 topic
- Object Detection9▲ 16×1 topic
- Feature Matching9▲ 37×1 topic
- Local Descriptors9▲ 37×1 topic
- Acoustic Modeling9▲ 56×1 topic
- Speaker Verification9▲ 56×1 topic
- Generative Adversarial Networks9▲ 23×2 topics
- Pose Estimation9▲ 17×3 topics
- Human-Robot Interaction8▲ 16×3 topics
- Robotics8▲ 7.6×4 topics
- Reinforcement Learning7▲ 15×4 topics
- Mobile Robots7▲ 17×3 topics
- Depth Estimation6▲ 18×2 topics
Which research topics does Naver (South Korea) publish most on?
By volume in 2022-now: Topic Modeling, Multimodal Machine Learning Applications, Natural Language Processing Techniques and Domain Adaptation and Few-Shot Learning.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 18 works
- 2 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 15 works
- 3 Natural Language Processing Techniques Artificial Intelligence 15 works
- 4 Domain Adaptation and Few-Shot Learning Artificial Intelligence 10 works
- 5 Advanced Neural Network Applications Computer Vision and Pattern Recognition 9 works
- 6 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 9 works
- 7 Speech Recognition and Synthesis Artificial Intelligence 9 works
- 8 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 6 works
- 9 Human Pose and Action Recognition Computer Vision and Pattern Recognition 6 works
- 10 Robotics and Sensor-Based Localization Aerospace Engineering 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.
World: 40% of research is openly available.
World: 18% is written across borders.
How has Naver (South Korea)'s research output changed?
Output in 2022-2025 was 43% higher than in 2018-2021.
The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.
Its share of all research
Growing output can still be a shrinking share: all of science grows. This is Naver (South Korea) as a percentage of every work published that year, 0.0015% in 2024.
Fractional works of Naver (South Korea) over all fractional works that year. How the balance of science has shifted.
How much of it reaches the world top 10%
Year by year, against all institutions in the same year.
Of each year's output, the share that reached the world's 10% most cited for its field and year. Peak 27.4% in 2019.
Other research institutions in Seongnam-si
- Gachon University
- CHA University
- Korea Electronics Technology Institute
- Language Science (South Korea)
- Hyundai Motors (South Korea)
- Armed Forces Capital Hospital
- Korean Academy of Science and Technology
- Bundang Jesaeng Hospital
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners have tabs of their own, above.
Discussion
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