- Research works
- 69 ▲ 2% vs 2018-21
- Citations
- 1.1k 15.8 per fractional work
- Top-10% rate
- 8.5% all institutions 10.0%
- Open access
- 40% world 40%
- International
- 12% world 18%
Not ranked overall: NCSOFT (South Korea) is under the volume floor below which an excellence rate is noise. Not ranked is not the same as ranked last.
Which fields of science does NCSOFT (South Korea) work in?
In 2022-now, 81% of research at NCSOFT (South Korea) is in Physical Sciences, 10% in Health Sciences. Its largest fields are Computer Science (68%), Engineering (11%), Medicine (9%). It does 1.9× 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 18 fields, with their numbers
- Physical Sciences2580.7%
- Computer Science2167.8%
- Engineering311.0%
- Physics and Astronomy00.7%
- Materials Science00.4%
- Energy00.2%
- Chemical Engineering00.2%
- Environmental Science00.2%
- Mathematics00.2%
- Health Sciences310.0%
- Medicine38.8%
- Health Professions00.7%
- Nursing00.5%
- Social Sciences26.4%
- Life Sciences12.8%
What does NCSOFT (South Korea) 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.
- Computer ScienceField · 21.1 works8.7×
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, 8.7×. Every wedge is a field page.
All 18 fields, with their numbers
- Computer Science8.71×21 works
- Decision Sciences1.48×0 works
- Nursing1.09×0 works
- Engineering0.74×3 works
- Economics, Econometrics and Finance0.67×0 works
- Chemical Engineering0.51×0 works
- Biochemistry, Genetics and Molecular Biology0.48×1 works
- Medicine0.46×3 works
- Physics and Astronomy0.32×0 works
- Immunology and Microbiology0.27×0 works
- Health Professions0.27×0 works
- Energy0.23×0 works
- Social Sciences0.20×1 works
- Psychology0.18×0 works
- Business, Management and Accounting0.17×0 works
- Mathematics0.15×0 works
- Materials Science0.11×0 works
- Environmental Science0.04×0 works
- Computer Science 8.7×
- Decision Sciences 1.5×
- Nursing 1.1×
- Engineering 0.7×
- Economics, Econometrics and Finance 0.7×
- Chemical Engineering 0.5×
- Biochemistry, Genetics and Molecular Biology 0.5×
- Medicine 0.5×
- Physics and Astronomy 0.3×
- Immunology and Microbiology 0.3×
- Health Professions 0.3×
- Energy 0.2×
- Social Sciences 0.2×
- Psychology 0.2×
- Business, Management and Accounting 0.2×
- Mathematics 0.1×
- Materials Science 0.1×
- Environmental Science 0.0×
Who are the top researchers at NCSOFT (South Korea)?
Ranked on the quality score, Hanbin Bae and Young-Sun Joo lead among researchers whose main affiliation is NCSOFT (South Korea).
- 1
Hanbin Bae
South Korea · #2,852,475 worldwide 116 citations · 18 works
- 2
Young-Sun Joo
South Korea · #3,448,877 worldwide 117 citations · 28 works
Which keywords describe research at NCSOFT (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, Unsupervised Learning, Convolutional Networks, Pose Estimation, Information Retrieval and Representation Learning.
- Visualization
- Machine Translation
- Face Recognition
- Acoustic Modeling
- Generative Adversarial Networks
- Text Classification
- Deep Neural Networks
- Pose Estimation
- Convolutional Networks
- Machine Learning
- Neural Networks
- Deep Learning
- Convolutional Neural Networks
- Unsupervised Learning
- Information Retrieval
- Representation Learning
- Feature Extraction
- Audio-Visual Speech Recognition
- Speech Enhancement
- Computer Graphics
- IoT Security
- Speaker Verification
- Word 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 23 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 23 words, with their numbers
- Deep Learning12▲ 11×29 topics
- Neural Networks6▲ 12×13 topics
- Convolutional Neural Networks4▲ 17×7 topics
- Machine Learning3▲ 2.5×14 topics
- Unsupervised Learning2▲ 48×3 topics
- Convolutional Networks2▲ 47×3 topics
- Information Retrieval2▲ 23×3 topics
- Pose Estimation2▲ 45×2 topics
- Representation Learning2▲ 30×2 topics
- Deep Neural Networks1▲ 36×3 topics
- Feature Extraction1▲ 9.5×3 topics
- Text Classification1▲ 25×2 topics
- Audio-Visual Speech Recognition1▲ 73×1 topic
- Generative Adversarial Networks1▲ 44×2 topics
- Speech Enhancement1▲ 73×1 topic
- Acoustic Modeling1▲ 95×1 topic
- Computer Graphics1▲ 137×1 topic
- Face Recognition1▲ 32×2 topics
- IoT Security1▲ 11×2 topics
- Machine Translation1▲ 21×1 topic
- Speaker Verification1▲ 95×1 topic
- Visualization1▲ 63×1 topic
- Word Representation1▲ 29×1 topic
Which research topics does NCSOFT (South Korea) publish most on?
By volume in 2022-now: Speech and Audio Processing, Topic Modeling, Speech Recognition and Synthesis and Computer Graphics and Visualization Techniques.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Speech and Audio Processing Signal Processing 1 works
- 2 Topic Modeling Artificial Intelligence 1 works
- 3 Speech Recognition and Synthesis Artificial Intelligence 1 works
- 4 Computer Graphics and Visualization Techniques Computer Graphics and Computer-Aided Design 1 works
- 5 Human Pose and Action Recognition Computer Vision and Pattern Recognition 1 works
- 6 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 1 works
- 7 Advanced Vision and Imaging Computer Vision and Pattern Recognition 1 works
- 8 Face recognition and analysis Computer Vision and Pattern Recognition 1 works
- 9 Human Motion and Animation Control and Systems Engineering 1 works
- 10 3D Shape Modeling and Analysis Computational Mechanics 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.
World: 40% of research is openly available.
World: 18% is written across borders.
How has NCSOFT (South Korea)'s research output changed?
Output in 2022-2025 was 2% 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 NCSOFT (South Korea) as a percentage of every work published that year, 0.00015% in 2024.
Fractional works of NCSOFT (South Korea) over all fractional works that year. How the balance of science has shifted.
Other research institutions in Seongnam-si
- Gachon University
- CHA University
- Korea Electronics Technology Institute
- Language Science (South Korea)
- Hyundai Motors (South Korea)
- Naver (South Korea)
- Armed Forces Capital Hospital
- Korean Academy of Science and Technology
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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