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Company · Newark · United States

Panasonic (United States)

In research, Panasonic (United States) stands highest in Computer Science (#4,562 of 7,020 worldwide) and Physical Sciences (#16,542 of 21,541 worldwide), over all time.

World rank, all time
#31,403
of 42,892
Rank in United States
#6,710
of 8,685
Research works
341
▼ 25% vs 2013–17
Citations
6.6k
19.5 per fractional work
Top-10% rate
8.7%
record average 16.5%
Open access
11%
world 28%

What is Panasonic (United States) known for in research?

The fields where it stands highest, over all time, ranked among every institution above the floor in each field.

FieldWorld rankWhere that sitsTop-10% rateWorks
Computer ScienceField #4,562 of 7,020 25.7%169
Physical SciencesDomain #16,542 of 21,541 20.4%305

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

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.

Chemistry: 0.70× its world share, 0 worksChemistryComputer Science: 1.90× its world share, 2 worksComputer ScienceEngineering: 3.47× its world share, 8 worksEngineeringMaterials Science: 2.35× its world share, 1 worksMaterials SciencePhysics and Astronomy: 5.13× its world share, 2 worksPhysics and AstronomyMedicine: 0.04× its world share, 0 worksMedicineBusiness, Management and Accounting: 0.64× its world share, 0 worksBusiness, Management…Psychology: 0.23× its world share, 0 worksPsychologySocial Sciences: 0.71× its world share, 1 worksSocial Sciencesworld share
more than its size predictsabout as predictedless

Rings at 0.5×, and 2×. Widest outward: Physics and Astronomy, 5.1×. Every wedge is a field page.

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

Ranked on the composite score, Jean-Claude Junqua lead among researchers whose main affiliation is Panasonic (United States).

  1. 1 Jean-Claude Junqua United States · #678,640 worldwide 53 citations · 19 works
All ranked researchers at Panasonic (United States)

Which keywords describe research at Panasonic (United States)?

By fractional works in all years, weighted toward what it does more of than the world: Deep Learning, Convolutional Neural Networks, Neural Networks, Deep Neural Networks, Hidden Markov Models, Distributed Systems, Beamforming and Acoustic Modeling.

▲ more of its work than of the world’s◆ about the world’s share▼ less than the world’s

Size is fractional works in all years 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 Learning50▲ 7.0×37 topics
  2. Convolutional Neural Networks23▲ 16×8 topics
  3. Neural Networks22▲ 6.2×18 topics
  4. Deep Neural Networks13▲ 61×2 topics
  5. Hidden Markov Models13▲ 60×2 topics
  6. Distributed Systems13▲ 16×5 topics
  7. Beamforming13▲ 35×3 topics
  8. Acoustic Modeling13▲ 117×1 topic
  9. Speaker Verification13▲ 117×1 topic
  10. Wireless Networks12▲ 16×6 topics
  11. Audio-Visual Speech Recognition11▲ 58×1 topic
  12. Speech Enhancement11▲ 58×1 topic
  13. Video Coding11▲ 69×2 topics
  14. Channel Modeling11▲ 30×4 topics
  15. Content Delivery10▲ 44×2 topics
  16. Security10▲ 6.7×11 topics
  17. Routing Protocols9▲ 32×3 topics
  18. Broadband9▲ 46×2 topics
  19. Smart Grid9▲ 8.8×6 topics
  20. Internet Applications8▲ 45×2 topics
  21. User Interaction8▲ 49×2 topics
  22. Convolutional Networks8▲ 21×3 topics
  23. Interactive Television8▲ 88×1 topic
  24. Social TV8▲ 88×1 topic
  25. OFDM Systems8▲ 42×2 topics
  26. Impulsive Noise7▲ 84×1 topic
  27. Power Line Communications7▲ 84×1 topic
  28. Hyperspectral Imaging7▲ 6.2×2 topics
  29. Power Electronics6▲ 6.9×7 topics
  30. Fault Tolerance6▲ 9.3×5 topics
  31. Depth Estimation6▲ 19×2 topics
  32. Security Analysis6▲ 15×4 topics
  33. Channel Assignment6▲ 16×3 topics
  34. H.264/AVC6▲ 101×1 topic
  35. High Efficiency Video Coding (HEVC)6▲ 101×1 topic
  36. Unsupervised Learning6▲ 17×3 topics
  37. Laser Ablation6▲ 39×2 topics
  38. Optical Flow6▲ 27×1 topic
  39. Parallel Computing6▲ 9.2×2 topics
  40. Stereo Vision6▲ 27×1 topic

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

By volume in 2022–2025: Advanced MEMS and NEMS Technologies, Mechanical and Optical Resonators, Acoustic Wave Resonator Technologies and 3D IC and TSV technologies.

  1. 1 Advanced MEMS and NEMS Technologies Electrical and Electronic Engineering 2 works
  2. 2 Mechanical and Optical Resonators Atomic and Molecular Physics, and Optics 1 works
  3. 3 Acoustic Wave Resonator Technologies Biomedical Engineering 1 works
  4. 4 3D IC and TSV technologies Electrical and Electronic Engineering 1 works
  5. 5 Ethics and Social Impacts of AI Safety Research 0 works
  6. 6 Advanced Antenna and Metasurface Technologies Aerospace Engineering 0 works
  7. 7 Electromagnetic Compatibility and Noise Suppression Electrical and Electronic Engineering 0 works
  8. 8 Cybersecurity and Cyber Warfare Studies Political Science and International Relations 0 works
  9. 9 Advanced Frequency and Time Standards Atomic and Molecular Physics, and Optics 0 works
  10. 10 Privacy, Security, and Data Protection Sociology and Political Science 0 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 available10.6%not open89.4%

World: 28% of research is openly available.

with international co-authors28.6%domestic only71.4%

World: 19% is written across borders.

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

Output in 2018–2022 was 25% lower than in 2013–2017.

1990200020102020
grewheldshrank

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 Newark

All research institutions in Newark

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.