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Company · Santa Clara · United States

Nvidia (United States)

In research, Nvidia (United States) stands highest in Computer Science (#47 of 4,667 worldwide), Physical Sciences (#693 of 12,888 worldwide) and Engineering (#1,130 of 6,636 worldwide), 2022–2025. Relative to its size it is most specialised in Hardware and Architecture, Computer Vision and Pattern Recognition and Computer Networks and Communications — Hardware and Architecture is 60.8× its share of world research.

nvidia.com/page/home.htmlROR OpenAlex
World rank, 2022–2025
#1,103
of 28,054 · #2,067 all time
Rank in United States
#190
of 4,192
Research works
1.6k
▲ 140% vs 2013–17
Citations
53k
33.2 per fractional work
Top-10% rate
30.6%
record average 16.5%
Open access
34%
world 28%

What is Nvidia (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 #47 of 4,667 32.6%366 #132
Physical SciencesDomain #693 of 12,888 30.3%654 #1419
EngineeringField #1,130 of 6,636 24.8%219 #2332
Artificial IntelligenceSubfield #338 of 1,884 33.6%120 #761
Computer Vision and Pattern RecognitionSubfield #209 of 941 45.2%73 #285
Electrical and Electronic EngineeringSubfield #1,068 of 2,318 20.8%94 #1885

Each strip is that field’s whole ranked pool, with the notch where Nvidia (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#132 #47
  2. Physical Sciences#1,419 #693
  3. Engineering#2,332 #1,130
  4. Artificial Intelligence#761 #338
  5. Computer Vision and Pattern Recognition#285 #209
  6. Electrical and Electronic Engineering#1,885 #1,068
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 Nvidia (United States) specialise in?

Where its research is concentrated relative to its size: Hardware and Architecture takes 60.8× the share of its output that it takes of world research.

  1. Hardware and ArchitectureSubfield · 50.6 works61×
  2. Computer Vision and Pattern RecognitionSubfield · 73.1 works7.8×
  3. Computer Networks and CommunicationsSubfield · 49.2 works7.5×
  4. Artificial IntelligenceSubfield · 120.0 works6.7×
← 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.

Agricultural and Biological Sciences: 0.02× its world share, 1 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.45× its world share, 18 worksBiochemistry, Geneti…Immunology and Microbiology: 0.03× its world share, 0 worksImmunology and Micro…Neuroscience: 0.69× its world share, 8 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 0.06× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.11× its world share, 0 worksChemical EngineeringChemistry: 0.18× its world share, 2 worksChemistryComputer Science: 6.37× its world share, 366 worksComputer ScienceEarth and Planetary Sciences: 1.15× its world share, 13 worksEarth and Planetary …Engineering: 1.97× its world share, 219 worksEngineeringEnvironmental Science: 0.35× its world share, 13 worksEnvironmental ScienceMaterials Science: 0.44× its world share, 11 worksMaterials ScienceMathematics: 0.75× its world share, 6 worksMathematicsPhysics and Astronomy: 1.33× its world share, 22 worksPhysics and AstronomyDentistry: 0.02× its world share, 0 worksDentistryHealth Professions: 0.10× its world share, 2 worksHealth ProfessionsMedicine: 0.18× its world share, 26 worksMedicineNursing: 0.06× its world share, 0 worksNursingArts and Humanities: 0.02× its world share, 0 worksArts and HumanitiesBusiness, Management and Accounting: 0.21× its world share, 5 worksBusiness, Management…Decision Sciences: 1.57× its world share, 11 worksDecision SciencesEconomics, Econometrics and Finance: 0.10× its world share, 2 worksEconomics, Econometr…Psychology: 0.21× its world share, 5 worksPsychologySocial Sciences: 0.09× its world share, 8 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 6.4×. Every wedge is a field page.

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

Ranked on the composite score, Holger R. Roth, Brucek Khailany and Michael Wolfe lead among researchers whose main affiliation is Nvidia (United States).

  1. 1 Holger R. Roth United States · #35,398 worldwide 471 citations · 63 works
  2. 2 Brucek Khailany United States · #65,006 worldwide 608 citations · 33 works
  3. 3 Michael Wolfe United States · #72,333 worldwide 284 citations · 38 works
  4. 4 David B. Kirk United States · #88,107 worldwide 212 citations · 39 works
  5. 5 John W. Poulton United States · #103,383 worldwide 212 citations · 24 works
  6. 6 Daguang Xu United States · #122,503 worldwide 345 citations · 66 works
  7. 7 Wenqi Li United States · #134,527 worldwide 182 citations · 31 works
  8. 8 Dong Yang United States · #137,547 worldwide 273 citations · 59 works
  9. 9 Brian Zimmer United States · #163,614 worldwide 269 citations · 23 works
  10. 10 Siva Kumar Sastry Hari United States · #184,962 worldwide 227 citations · 22 works
All ranked researchers at Nvidia (United States)

Which keywords describe research at Nvidia (United States)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Machine Learning, Neural Networks, Convolutional Neural Networks, Parallel Computing, High-Performance Computing, GPU Computing and Performance Optimization.

▲ 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 Learning138▲ 5.5×67 topics
  2. Machine Learning76▲ 3.1×67 topics
  3. Neural Networks57▲ 5.0×29 topics
  4. Convolutional Neural Networks43▲ 7.9×14 topics
  5. Parallel Computing40▲ 46×4 topics
  6. High-Performance Computing35▲ 57×3 topics
  7. Energy Efficiency26▲ 3.8×15 topics
  8. GPU Computing26▲ 93×1 topic
  9. Performance Optimization26▲ 55×1 topic
  10. Big Data22▲ 3.3×16 topics
  11. Unsupervised Learning22▲ 21×3 topics
  12. Distributed Systems22▲ 17×6 topics
  13. Deep Neural Networks19▲ 24×3 topics
  14. Heat Transfer18▲ 4.9×10 topics
  15. Resource Management17▲ 14×2 topics
  16. Image Classification17▲ 13×3 topics
  17. Visualization17▲ 41×2 topics
  18. Simulation16▲ 8.3×8 topics
  19. Thermal Management16▲ 6.4×7 topics
  20. FPGA16▲ 56×3 topics
  21. Convolutional Networks15▲ 15×3 topics
  22. Integrated Circuits15▲ 13×3 topics
  23. Texture Analysis15▲ 8.6×3 topics
  24. Computer Graphics14▲ 74×1 topic
  25. Rendering14▲ 74×1 topic
  26. CMOS Technology14▲ 24×5 topics
  27. Computer Vision14▲ 7.1×3 topics
  28. Heat Exchangers14▲ 25×2 topics
  29. Hidden Markov Models14▲ 33×3 topics
  30. Fault Tolerance14▲ 12×7 topics
  31. Network Coding14▲ 40×2 topics
  32. Power Optimization14▲ 72×2 topics
  33. Representation Learning14▲ 14×3 topics
  34. Image Recognition14▲ 14×1 topic
  35. Object Detection14▲ 15×1 topic
  36. Acoustic Modeling14▲ 50×1 topic
  37. Speaker Verification14▲ 50×1 topic
  38. Distributed Storage13▲ 64×1 topic
  39. Flash Memory13▲ 64×1 topic
  40. Embedded Cores12▲ 108×1 topic

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

By volume in 2022–2025: Parallel Computing and Optimization Techniques, Computer Graphics and Visualization Techniques, Advanced Neural Network Applications and Speech Recognition and Synthesis.

Parallel Computing and O…26Parallel Computing and Optimization Techniques: 26 fractional worksComputer Graphics and Vi…14Computer Graphics and Visualization Techniques: 14 fractional worksAdvanced Neural Network …14Advanced Neural Network Applications: 14 fractional worksSpeech Recognition and S…14Speech Recognition and Synthesis: 14 fractional worksAdvanced Data Storage Technologies: 13 fractional worksVLSI and Analog Circuit Testing: 12 fractional worksNatural Language Process…11Natural Language Processing Techniques: 11 fractional worksAdvanced Vision and Imaging: 10 fractional worksHeat Transfer and Optimization: 9 fractional works3D Shape Modeling and An…93D Shape Modeling and Analysis: 9 fractional works
Hardware and ArchitectureComputer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionArtificial Intelligence3 others

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

  1. 1 Parallel Computing and Optimization Techniques Hardware and Architecture 26 works
  2. 2 Computer Graphics and Visualization Techniques Computer Graphics and Computer-Aided Design 14 works
  3. 3 Advanced Neural Network Applications Computer Vision and Pattern Recognition 14 works
  4. 4 Speech Recognition and Synthesis Artificial Intelligence 14 works
  5. 5 Advanced Data Storage Technologies Computer Networks and Communications 13 works
  6. 6 VLSI and Analog Circuit Testing Hardware and Architecture 12 works
  7. 7 Natural Language Processing Techniques Artificial Intelligence 11 works
  8. 8 Advanced Vision and Imaging Computer Vision and Pattern Recognition 10 works
  9. 9 Heat Transfer and Optimization Mechanical Engineering 9 works
  10. 10 3D Shape Modeling and Analysis Computational Mechanics 9 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 available34.4%not open65.6%

World: 28% of research is openly available.

with international co-authors31.3%domestic only68.7%

World: 19% is written across borders.

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

Output in 2018–2022 was 140% higher than in 2013–2017.

20002005201020152020
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 Santa Clara

All research institutions in Santa Clara

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.