LG (United States)
In research, LG (United States) stands highest in Engineering (#4,383 of 6,636 worldwide) and Physical Sciences (#9,717 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Electrical and Electronic Engineering — Electrical and Electronic Engineering is 4.2× its share of world research.
- World rank, 2022–2025
- #18,418 of 28,054 · #14,911 all time
- Rank in United States
- #2,671 of 4,192
- Research works
- 908 ▼ 21% vs 2013–17
- Citations
- 11k 12.6 per fractional work
- Top-10% rate
- 11.6% record average 16.5%
- Open access
- 25% world 28%
What is LG (United States) known for in research?
The fields where it stands highest, 2022–2025, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works | All time |
|---|---|---|---|---|---|
| EngineeringField | #4,383 of 6,636 | 13.0% | 68 | #3953 | |
| Physical SciencesDomain | #9,717 of 12,888 | 10.9% | 129 | #8337 |
Each strip is that field’s whole ranked pool, with the notch where LG (United States) 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).
What does LG (United States) specialise in?
Where its research is concentrated relative to its size: Electrical and Electronic Engineering takes 4.2× the share of its output that it takes of world research.
- Electrical and Electronic EngineeringSubfield · 23.5 works4.2×
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, 3.5×. Every wedge is a field page.
- Computer Science 3.5×
- Engineering 2.9×
- Materials Science 1.5×
- Physics and Astronomy 1.1×
- Neuroscience 0.9×
- Decision Sciences 0.8×
- Dentistry 0.7×
- Pharmacology, Toxicology and Pharmaceutics 0.6×
- Biochemistry, Genetics and Molecular Biology 0.6×
- Psychology 0.5×
- Business, Management and Accounting 0.4×
- Environmental Science 0.4×
- Medicine 0.3×
- Earth and Planetary Sciences 0.3×
- Chemistry 0.3×
- Immunology and Microbiology 0.3×
- Chemical Engineering 0.2×
- Energy 0.2×
- Social Sciences 0.1×
- Mathematics 0.1×
- Arts and Humanities 0.1×
- Health Professions 0.1×
- Economics, Econometrics and Finance 0.1×
- Agricultural and Biological Sciences 0.0×
Who are the top researchers at LG (United States)?
Ranked on the composite score, Ki-Dong Lee, Byung K. Yi and Du‐Hyun Kim lead among researchers whose main affiliation is LG (United States).
- 1 Ki-Dong Lee United States · #345,630 worldwide 144 citations · 45 works
- 2 Byung K. Yi United States · #412,511 worldwide 83 citations · 17 works
- 3 Du‐Hyun Kim United States · #425,222 worldwide 67 citations · 18 works
- 4 이칠우 United States · #499,849 worldwide 2 citations · 31 works
- 5 Jaekyu Park United States · #869,069 worldwide 11 citations · 15 works
- 6 Mohak Shah United States · #1,090,140 worldwide 80 citations · 18 works
- 7 Jeong‐Min Moon United States · #1,161,616 worldwide 10 citations · 15 works
- 8 Jung-Hoon Kim United States · #1,359,131 worldwide 23 citations · 20 works
- 9 Sung-Kuk Kim United States · #1,366,252 worldwide 6 citations · 34 works
- 10 Shigeki Segawa United States · #1,627,971 worldwide 0 citations · 16 works
Which keywords describe research at LG (United States)?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Heat Transfer, Flexible Electronics, Convolutional Neural Networks, Solar Cells, Artificial Intelligence and Cathode Materials.
- UV Radiation
- Refrigerants
- Ionic Conductivity
- Thin-Film Transistors
- Colloidal Crystals
- Wearable
- Plasmonics
- Matrix Metalloproteinases
- Fault Tolerance
- Unsupervised Learning
- Text Classification
- Information Retrieval
- Thermodynamic Analysis
- Thermal Management
- Virtual Reality
- Solar Cells
- Energy Efficiency
- Heat Transfer
- Artificial Intelligence
- Neural Networks
- Deep Learning
- Machine Learning
- Convolutional Neural Networks
- Flexible Electronics
- Internet of Things
- Cathode Materials
- Health Monitoring
- Lithium-ion Batteries
- Simulation
- Machine Translation
- Word Representation
- Channel Modeling
- Human-Robot Interaction
- Nanogenerators
- Security and Privacy
- Amorphous Oxide Semiconductors
- Convolutional Networks
- Ejectors
- Real-time Tracking
- Skin Cancer
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
- Deep Learning21▲ 4.0×45 topics
- Neural Networks12▲ 4.7×23 topics
- Machine Learning6▲ 1.26×22 topics
- Artificial Intelligence6▲ 2.5×12 topics
- Convolutional Neural Networks5▲ 4.7×11 topics
- Heat Transfer5▲ 6.5×8 topics
- Flexible Electronics4▲ 16×3 topics
- Energy Efficiency4▲ 2.6×8 topics
- Internet of Things4▲ 2.8×7 topics
- Solar Cells4▲ 12×5 topics
- Cathode Materials4▲ 5.8×3 topics
- Virtual Reality3▲ 4.0×7 topics
- Health Monitoring3▲ 9.5×3 topics
- Thermal Management3▲ 5.7×5 topics
- Lithium-ion Batteries3▲ 4.2×3 topics
- Thermodynamic Analysis3▲ 26×2 topics
- Simulation2▲ 6.2×4 topics
- Information Retrieval2▲ 7.1×2 topics
- Machine Translation2▲ 9.0×1 topic
- Text Classification2▲ 9.8×2 topics
- Word Representation2▲ 12×1 topic
- Unsupervised Learning2▲ 10×3 topics
- Channel Modeling2▲ 11×5 topics
- Fault Tolerance2▲ 8.3×5 topics
- Human-Robot Interaction2▲ 13×3 topics
- Matrix Metalloproteinases2▲ 9.4×3 topics
- Nanogenerators2▲ 9.9×1 topic
- Plasmonics2▲ 24×2 topics
- Security and Privacy2▲ 6.9×3 topics
- Wearable2▲ 9.9×1 topic
- Amorphous Oxide Semiconductors2▲ 61×1 topic
- Colloidal Crystals2▲ 28×2 topics
- Convolutional Networks2▲ 9.2×3 topics
- Thin-Film Transistors2▲ 61×1 topic
- Ejectors2▲ 39×1 topic
- Ionic Conductivity2▲ 8.9×2 topics
- Real-time Tracking2▲ 12×2 topics
- Refrigerants2▲ 39×1 topic
- Skin Cancer2▲ 17×1 topic
- UV Radiation2▲ 27×1 topic
Which research topics does LG (United States) publish most on?
By volume in 2022–2025: Topic Modeling, Advanced Sensor and Energy Harvesting Materials, Thin-Film Transistor Technologies and Skin Protection and Aging.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Topic Modeling Artificial Intelligence 2 works
- 2 Advanced Sensor and Energy Harvesting Materials Biomedical Engineering 2 works
- 3 Thin-Film Transistor Technologies Electrical and Electronic Engineering 2 works
- 4 Skin Protection and Aging Dermatology 2 works
- 5 Refrigeration and Air Conditioning Technologies Mechanical Engineering 2 works
- 6 Advanced Battery Materials and Technologies Electrical and Electronic Engineering 2 works
- 7 Textile materials and evaluations Polymers and Plastics 2 works
- 8 Video Surveillance and Tracking Methods Computer Vision and Pattern Recognition 2 works
- 9 Advancements in Battery Materials Electrical and Electronic Engineering 2 works
- 10 CCD and CMOS Imaging Sensors Electrical and Electronic Engineering 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: 28% of research is openly available.
World: 19% is written across borders.
How has LG (United States)'s research output changed?
Output in 2018–2022 was 21% lower than in 2013–2017.
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 Englewood Cliffs
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.