Korea Post
In research, Korea Post stands highest in Physical Sciences (#3,295 of 10,670 worldwide), 2022-now. Relative to its size it is most specialised in Computer Vision and Pattern Recognition and Computer Science (Computer Vision and Pattern Recognition is 14.8× its share of world research).
- World rank, 2022-now
- #12,005 of 22,385 · #7,204 all time
- Rank in South Korea
- #195 of 343
- Research works
- 583 ▲ 36% vs 2018-21
- Citations
- 12k 20.0 per fractional work
- Top-10% rate
- 14.5% all institutions 10.0%
- vs its own fields
- 1.04× 1.00× is exactly expected
- Open access
- 29% world 40%
- International
- 26% world 18%
What is Korea Post 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 |
|---|---|---|---|---|---|
| Physical SciencesDomain | #3,295 of 10,670 | 15.4% | 99 | #2235 |
Each strip is that field's whole ranked pool, with the notch where Korea Post 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 fields of science does Korea Post work in?
In 2022-now, 87% of research at Korea Post is in Physical Sciences, 7% in Social Sciences. Its largest fields are Computer Science (49%), Engineering (20%), Physics and Astronomy (7%). It does 2.2× 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 24 fields, with their numbers
- Physical Sciences11186.7%
- Computer Science6349.3%
- Engineering2620.3%
- Physics and Astronomy97.0%
- Materials Science64.6%
- Chemistry21.3%
- Mathematics11.0%
- Environmental Science11.0%
- Energy10.8%
- Chemical Engineering10.8%
- Earth and Planetary Sciences10.4%
- Social Sciences97.2%
- Life Sciences54.3%
- Health Sciences21.9%
- Medicine21.6%
- Health Professions00.2%
- Nursing00.1%
What does Korea Post specialise in?
Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 14.8× the share of its output that it takes of world research.
- Computer Vision and Pattern RecognitionSubfield · 23.8 works15×
- Computer ScienceField · 62.9 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 24 fields, with their numbers
- Computer Science6.35×63 works
- Physics and Astronomy3.14×9 works
- Decision Sciences2.50×3 works
- Chemical Engineering2.36×1 works
- Engineering1.35×26 works
- Materials Science1.32×6 works
- Energy0.92×1 works
- Mathematics0.87×1 works
- Chemistry0.84×2 works
- Immunology and Microbiology0.76×1 works
- Neuroscience0.76×2 works
- Psychology0.58×2 works
- Economics, Econometrics and Finance0.46×1 works
- Biochemistry, Genetics and Molecular Biology0.39×3 works
- Earth and Planetary Sciences0.28×1 works
- Environmental Science0.20×1 works
- Business, Management and Accounting0.14×1 works
- Nursing0.13×0 works
- Social Sciences0.12×2 works
- Health Professions0.09×0 works
- Pharmacology, Toxicology and Pharmaceutics0.08×0 works
- Medicine0.08×2 works
- Agricultural and Biological Sciences0.04×0 works
- Arts and Humanities0.03×0 works
- Computer Science 6.3×
- Physics and Astronomy 3.1×
- Decision Sciences 2.5×
- Chemical Engineering 2.4×
- Engineering 1.4×
- Materials Science 1.3×
- Energy 0.9×
- Mathematics 0.9×
- Chemistry 0.8×
- Immunology and Microbiology 0.8×
- Neuroscience 0.8×
- Psychology 0.6×
- Economics, Econometrics and Finance 0.5×
- Biochemistry, Genetics and Molecular Biology 0.4×
- Earth and Planetary Sciences 0.3×
- Environmental Science 0.2×
- Business, Management and Accounting 0.1×
- Nursing 0.1×
- Social Sciences 0.1×
- Health Professions 0.1×
- Pharmacology, Toxicology and Pharmaceutics 0.1×
- Medicine 0.1×
- Agricultural and Biological Sciences 0.0×
- Arts and Humanities 0.0×
Who are the top researchers at Korea Post?
Ranked on the quality score, Wei Chen, Yejin Jeon and Yunsu Kim lead among researchers whose main affiliation is Korea Post.
- 1
Wei Chen
South Korea · #3,288,386 worldwide 1 citations · 17 works
- 2
Yejin Jeon
South Korea · #3,442,235 worldwide 134 citations · 36 works
- 3
Yunsu Kim
South Korea · #3,698,750 worldwide 40 citations · 17 works
- 4
Seonjeong Hwang
South Korea · #3,819,493 worldwide 16 citations · 21 works
Which keywords describe research at Korea Post?
By fractional works in 2022-now, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Convolutional Networks, Unsupervised Learning, Representation Learning, Depth Estimation and Semi-Supervised Learning.
- Spatiotemporal Features
- Parallel Computing
- Action Recognition
- Image Classification
- Visual Question Answering
- Sparse Representation
- Image Captioning
- Domain Adaptation
- Computer Graphics
- Point Clouds
- Deep Neural Networks
- Transfer Learning
- Meta-Learning
- Stereo Vision
- Pose Estimation
- Generative Adversarial Networks
- Depth Estimation
- Machine Learning
- Convolutional Networks
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Unsupervised Learning
- Representation Learning
- Semi-Supervised Learning
- Simulation
- Optical Flow
- Information Retrieval
- Text Classification
- 3D Reconstruction
- Machine Translation
- Word Representation
- Visualization
- Few-Shot Learning
- Neural Machine Translation
- Statistical Machine Translation
- Acoustic Modeling
- Speaker Verification
- Mesh Segmentation
- Shape Representation
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 Learning30▲ 6.8×45 topics
- Neural Networks15▲ 7.8×20 topics
- Convolutional Neural Networks9▲ 10×11 topics
- Convolutional Networks7▲ 39×3 topics
- Unsupervised Learning7▲ 35×3 topics
- Machine Learning6▲ 1.46×26 topics
- Representation Learning4▲ 22×3 topics
- Depth Estimation4▲ 36×2 topics
- Semi-Supervised Learning4▲ 23×3 topics
- Generative Adversarial Networks3▲ 29×2 topics
- Simulation3▲ 9.6×4 topics
- Pose Estimation3▲ 21×3 topics
- Optical Flow3▲ 48×1 topic
- Stereo Vision3▲ 48×1 topic
- Information Retrieval3▲ 10×3 topics
- Meta-Learning3▲ 25×2 topics
- Text Classification3▲ 13×2 topics
- Transfer Learning3▲ 11×2 topics
- 3D Reconstruction3▲ 22×2 topics
- Deep Neural Networks3▲ 17×2 topics
- Machine Translation3▲ 12×1 topic
- Point Clouds3▲ 22×2 topics
- Word Representation3▲ 16×1 topic
- Computer Graphics2▲ 75×1 topic
- Visualization2▲ 34×1 topic
- Domain Adaptation2▲ 34×1 topic
- Few-Shot Learning2▲ 34×1 topic
- Image Captioning2▲ 33×1 topic
- Neural Machine Translation2▲ 20×1 topic
- Sparse Representation2▲ 10×5 topics
- Statistical Machine Translation2▲ 20×1 topic
- Visual Question Answering2▲ 20×1 topic
- Acoustic Modeling2▲ 48×1 topic
- Image Classification2▲ 9.4×2 topics
- Speaker Verification2▲ 48×1 topic
- Action Recognition2▲ 36×1 topic
- Mesh Segmentation2▲ 56×1 topic
- Parallel Computing2▲ 14×2 topics
- Shape Representation2▲ 56×1 topic
- Spatiotemporal Features2▲ 36×1 topic
Which research topics does Korea Post publish most on?
By volume in 2022-now: Advanced Vision and Imaging, Topic Modeling, Computer Graphics and Visualization Techniques and Multimodal Machine Learning Applications.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Advanced Vision and Imaging Computer Vision and Pattern Recognition 3 works
- 2 Topic Modeling Artificial Intelligence 3 works
- 3 Computer Graphics and Visualization Techniques Computer Graphics and Computer-Aided Design 2 works
- 4 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 2 works
- 5 Natural Language Processing Techniques Artificial Intelligence 2 works
- 6 Domain Adaptation and Few-Shot Learning Artificial Intelligence 2 works
- 7 Speech Recognition and Synthesis Artificial Intelligence 2 works
- 8 Human Pose and Action Recognition Computer Vision and Pattern Recognition 2 works
- 9 3D Shape Modeling and Analysis Computational Mechanics 2 works
- 10 Speech and Audio Processing Signal Processing 2 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 Korea Post's research output changed?
Output in 2022-2025 was 36% 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 Korea Post as a percentage of every work published that year, 0.00055% in 2024.
Fractional works of Korea Post 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 20.4% in 2014.
Other research institutions in Seoul
- Seoul National University
- Yonsei University
- Sungkyunkwan University
- Korea University
- Hanyang University
- Kyung Hee University
- Catholic University of Korea
- Samsung (South Korea)
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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