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Company · Ridgefield Park · United States

Samsung (United States)

In research, Samsung (United States) stands highest in Computer Science (#616 of 4,667 worldwide), Physical Sciences (#3,266 of 12,888 worldwide) and Engineering (#1,958 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition, Computer Networks and Communications and Electrical and Electronic Engineering — Computer Vision and Pattern Recognition is 11.1× its share of world research.

samsung.com/usROR OpenAlex
World rank, 2022–2025
#5,557
of 28,054 · #5,573 all time
Rank in United States
#754
of 4,192
Research works
2.5k
▼ 16% vs 2013–17
Citations
45k
18.3 per fractional work
Top-10% rate
16.5%
record average 16.5%
Open access
27%
world 28%

What is Samsung (United States) 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 #616 of 4,667 18.2%153 #931
Physical SciencesDomain #3,266 of 12,888 16.7%324 #3553
EngineeringField #1,958 of 6,636 15.2%149 #1613
Electrical and Electronic EngineeringSubfield #1,275 of 2,318 14.0%88 #909

Each strip is that field’s whole ranked pool, with the notch where Samsung (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).

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#931 #616
  2. Physical Sciences#3,553 #3,266
  3. Engineering#1,613 #1,958
  4. Electrical and Electronic Engineering#909 #1,275
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 Samsung (United States) specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 11.1× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 51.7 works11×
  2. Computer Networks and CommunicationsSubfield · 24.8 works7.5×
  3. Electrical and Electronic EngineeringSubfield · 88.0 works6.7×
  4. Computer ScienceField · 153.4 works5.3×
← 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.

Biochemistry, Genetics and Molecular Biology: 0.17× its world share, 3 worksBiochemistry, Geneti…Immunology and Microbiology: 0.21× its world share, 1 worksImmunology and Micro…Neuroscience: 0.78× its world share, 5 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.14× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.30× its world share, 0 worksChemical EngineeringChemistry: 0.18× its world share, 1 worksChemistryComputer Science: 5.32× its world share, 153 worksComputer ScienceEarth and Planetary Sciences: 0.44× its world share, 3 worksEarth and Planetary …Energy: 0.07× its world share, 0 worksEnergyEngineering: 2.68× its world share, 149 worksEngineeringEnvironmental Science: 0.07× its world share, 1 worksEnvironmental ScienceMaterials Science: 0.63× its world share, 8 worksMaterials ScienceMathematics: 0.09× its world share, 0 worksMathematicsPhysics and Astronomy: 0.92× its world share, 8 worksPhysics and AstronomyDentistry: 0.06× its world share, 0 worksDentistryHealth Professions: 0.29× its world share, 3 worksHealth ProfessionsMedicine: 0.30× its world share, 22 worksMedicineNursing: 0.12× its world share, 0 worksNursingArts and Humanities: 0.06× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 0.18× its world share, 2 worksBusiness, Management…Decision Sciences: 0.57× its world share, 2 worksDecision SciencesEconomics, Econometrics and Finance: 0.05× its world share, 0 worksEconomics, Econometr…Psychology: 0.18× its world share, 2 worksPsychologySocial Sciences: 0.12× its world share, 6 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 5.3×. Every wedge is a field page.

Who are the top researchers at Samsung (United States)?

Ranked on the composite score, Yan Wang, Young‐Han Nam and Ebrahim Nemati lead among researchers whose main affiliation is Samsung (United States).

  1. 1 Yan Wang United States · #78,952 worldwide 522 citations · 37 works
  2. 2 Young‐Han Nam United States · #209,399 worldwide 215 citations · 19 works
  3. 3 Ebrahim Nemati United States · #221,185 worldwide 121 citations · 28 works
  4. 4 양동윤 United States · #266,164 worldwide 1 citations · 40 works
  5. 5 Charlie Zhang United States · #268,201 worldwide 121 citations · 34 works
  6. 6 김향 United States · #342,060 worldwide 2 citations · 57 works
  7. 7 Manu Awasthi United States · #355,007 worldwide 133 citations · 16 works
  8. 8 Inyup Kang United States · #361,603 worldwide 152 citations · 21 works
  9. 9 최석주 United States · #385,280 worldwide 0 citations · 32 works
  10. 10 Viswam Nathan United States · #466,894 worldwide 75 citations · 23 works
All ranked researchers at Samsung (United States)

Which keywords describe research at Samsung (United States)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Convolutional Neural Networks, Energy Efficiency, Beamforming, Wireless Networks, Unsupervised Learning and Integrated Circuits.

▲ 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 Learning83▲ 6.5×60 topics
  2. Neural Networks38▲ 6.7×25 topics
  3. Convolutional Neural Networks17▲ 6.2×9 topics
  4. Energy Efficiency17▲ 4.8×11 topics
  5. Machine Learning16▲ 1.36×41 topics
  6. Beamforming13▲ 33×4 topics
  7. Wireless Networks13▲ 23×8 topics
  8. Unsupervised Learning13▲ 24×3 topics
  9. Integrated Circuits12▲ 20×3 topics
  10. Massive MIMO12▲ 38×3 topics
  11. Convolutional Networks11▲ 22×3 topics
  12. Wireless Communications10▲ 16×5 topics
  13. Parallel Computing10▲ 22×2 topics
  14. Spectral Efficiency9▲ 37×2 topics
  15. Wearable Sensors9▲ 21×3 topics
  16. Heterogeneous Networks9▲ 25×2 topics
  17. Channel Estimation9▲ 28×4 topics
  18. Representation Learning9▲ 17×3 topics
  19. Channel Modeling9▲ 19×6 topics
  20. Cellular Networks8▲ 46×1 topic
  21. Frequency Synthesizer8▲ 56×2 topics
  22. Interference Alignment8▲ 46×1 topic
  23. MIMO Systems8▲ 28×3 topics
  24. 5G8▲ 38×3 topics
  25. High-Performance Computing7▲ 24×2 topics
  26. Resource Allocation7▲ 11×7 topics
  27. Heart Rate Variability7▲ 17×2 topics
  28. Computer Vision7▲ 7.1×3 topics
  29. Iterative Decoding7▲ 75×2 topics
  30. Image Classification7▲ 11×2 topics
  31. Communications7▲ 55×2 topics
  32. Image Recognition7▲ 13×1 topic
  33. Object Detection7▲ 14×1 topic
  34. CMOS6▲ 35×2 topics
  35. Hybrid Precoding6▲ 60×1 topic
  36. Millimeter Wave6▲ 60×1 topic
  37. Meta-Learning6▲ 21×2 topics
  38. Semi-Supervised Learning6▲ 16×3 topics
  39. Space-Time Coding6▲ 47×2 topics
  40. Transfer Learning6▲ 8.8×2 topics

Which research topics does Samsung (United States) publish most on?

By volume in 2022–2025: Advanced MIMO Systems Optimization, Advanced Neural Network Applications, Millimeter-Wave Propagation and Modeling and Radio Frequency Integrated Circuit Design.

Advanced MIMO Systems Op…8Advanced MIMO Systems Optimization: 8 fractional worksAdvanced Neural Network …7Advanced Neural Network Applications: 7 fractional worksMillimeter-Wave Propagation and Modeling: 6 fractional worksRadio Frequency Integrated Circuit Design: 6 fractional worksMultimodal Machine Learning Applications: 6 fractional worksNon-Invasive Vital Sign Monitoring: 6 fractional worksDomain Adaptation and Few-Shot Learning: 6 fractional worksParallel Computing and O…6Parallel Computing and Optimization Techniques: 6 fractional worksTopic Modeling5Topic Modeling: 5 fractional worksAdvanced Wireless Communication Techniques: 5 fractional works
Electrical and Electronic EngineeringComputer Vision and Pattern RecognitionBiomedical EngineeringArtificial Intelligence1 others

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

  1. 1 Advanced MIMO Systems Optimization Electrical and Electronic Engineering 8 works
  2. 2 Advanced Neural Network Applications Computer Vision and Pattern Recognition 7 works
  3. 3 Millimeter-Wave Propagation and Modeling Electrical and Electronic Engineering 6 works
  4. 4 Radio Frequency Integrated Circuit Design Electrical and Electronic Engineering 6 works
  5. 5 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 6 works
  6. 6 Non-Invasive Vital Sign Monitoring Biomedical Engineering 6 works
  7. 7 Domain Adaptation and Few-Shot Learning Artificial Intelligence 6 works
  8. 8 Parallel Computing and Optimization Techniques Hardware and Architecture 6 works
  9. 9 Topic Modeling Artificial Intelligence 5 works
  10. 10 Advanced Wireless Communication Techniques Electrical and Electronic Engineering 5 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 available26.8%not open73.2%

World: 28% of research is openly available.

with international co-authors33.1%domestic only66.9%

World: 19% is written across borders.

How has Samsung (United States)'s research output changed?

Output in 2018–2022 was 16% lower than in 2013–2017.

200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

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.