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Snap (United States)

In research, Snap (United States) stands highest in Computer Science (#302 of 4,667 worldwide) and Physical Sciences (#3,405 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Computer Vision and Pattern Recognition and Computer Science — Computer Vision and Pattern Recognition is 22.1× its share of world research.

snap.com/en-USROR OpenAlex
World rank, 2022–2025
#6,089
of 28,054 · #13,217 all time
Rank in United States
#825
of 4,192
Research works
206
▲ 249% vs 2013–17
Citations
9.3k
45.4 per fractional work
Top-10% rate
37.2%
record average 16.5%
Open access
39%
world 28%

What is Snap (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 #302 of 4,667 39.7%69 #1035
Physical SciencesDomain #3,405 of 12,888 38.7%88 #7761

Each strip is that field’s whole ranked pool, with the notch where Snap (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 Snap (United States) specialise in?

Where its research is concentrated relative to its size: Computer Vision and Pattern Recognition takes 22.1× the share of its output that it takes of world research.

  1. Computer Vision and Pattern RecognitionSubfield · 28.9 works22×
  2. Computer ScienceField · 68.9 works8.5×
← 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: 0.10× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.17× its world share, 1 worksBiochemistry, Geneti…Neuroscience: 1.35× its world share, 2 worksNeuroscienceChemistry: 0.05× its world share, 0 worksChemistryComputer Science: 8.53× its world share, 69 worksComputer ScienceEarth and Planetary Sciences: 0.66× its world share, 1 worksEarth and Planetary …Engineering: 0.86× its world share, 14 worksEngineeringEnvironmental Science: 0.03× its world share, 0 worksEnvironmental ScienceMaterials Science: 0.04× its world share, 0 worksMaterials ScienceMathematics: 1.23× its world share, 2 worksMathematicsPhysics and Astronomy: 1.05× its world share, 2 worksPhysics and AstronomyHealth Professions: 0.23× its world share, 1 worksHealth ProfessionsMedicine: 0.09× its world share, 2 worksMedicineArts and Humanities: 0.23× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 0.22× its world share, 1 worksBusiness, Management…Decision Sciences: 1.79× its world share, 2 worksDecision SciencesEconomics, Econometrics and Finance: 0.19× its world share, 0 worksEconomics, Econometr…Psychology: 0.54× its world share, 2 worksPsychologySocial Sciences: 0.35× its world share, 5 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 8.5×. Every wedge is a field page.

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

Ranked on the composite score, Sergey Tulyakov, Menglei Chai and Neil Shah lead among researchers whose main affiliation is Snap (United States).

  1. 1 Sergey Tulyakov United States · #149,249 worldwide 354 citations · 58 works
  2. 2 Menglei Chai United States · #246,165 worldwide 106 citations · 21 works
  3. 3 Neil Shah United States · #312,468 worldwide 224 citations · 52 works
  4. 4 Linjie Yang United States · #357,685 worldwide 221 citations · 29 works
  5. 5 Maarten W. Bos United States · #389,800 worldwide 154 citations · 16 works
  6. 6 Aliaksandr Siarohin United States · #973,534 worldwide 93 citations · 27 works
  7. 7 Willi Menapace United States · #1,576,488 worldwide 20 citations · 16 works
All ranked researchers at Snap (United States)

Which keywords describe research at Snap (United States)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Unsupervised Learning, Representation Learning, Convolutional Networks, Generative Adversarial Networks, Machine Learning and Image Inpainting.

▲ 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 Learning38▲ 11×43 topics
  2. Neural Networks17▲ 11×20 topics
  3. Machine Learning10▲ 3.1×29 topics
  4. Unsupervised Learning10▲ 66×3 topics
  5. Representation Learning9▲ 62×3 topics
  6. Convolutional Networks7▲ 50×3 topics
  7. Generative Adversarial Networks7▲ 86×2 topics
  8. Image Inpainting5▲ 127×1 topic
  9. Image Synthesis5▲ 127×1 topic
  10. 3D Reconstruction5▲ 54×2 topics
  11. Point Clouds5▲ 54×2 topics
  12. Computer Graphics5▲ 184×1 topic
  13. Visualization5▲ 85×1 topic
  14. Virtual Reality5▲ 9.0×6 topics
  15. Social Media4▲ 2.9×7 topics
  16. Convolutional Neural Networks4▲ 5.3×9 topics
  17. Mesh Segmentation4▲ 135×1 topic
  18. Shape Representation4▲ 135×1 topic
  19. User Experience4▲ 47×3 topics
  20. Depth Estimation4▲ 44×2 topics
  21. Semi-Supervised Learning4▲ 31×2 topics
  22. Collaborative Filtering4▲ 95×1 topic
  23. Matrix Factorization4▲ 95×1 topic
  24. Optical Flow4▲ 67×1 topic
  25. Stereo Vision4▲ 67×1 topic
  26. Content-Based Retrieval3▲ 110×1 topic
  27. Graph Convolutional Networks3▲ 24×2 topics
  28. Graph Neural Networks3▲ 57×1 topic
  29. Knowledge Graph Embedding3▲ 57×1 topic
  30. Pose Estimation3▲ 24×2 topics
  31. Video Summarization3▲ 110×1 topic
  32. Applications3▲ 9.3×1 topic
  33. Medical Imaging3▲ 5.1×4 topics
  34. Technology3▲ 4.8×1 topic
  35. Social Interaction2▲ 5.8×2 topics
  36. Sparse Representation2▲ 12×3 topics
  37. Embodiment2▲ 11×1 topic
  38. Presence2▲ 30×1 topic
  39. Action Recognition2▲ 38×1 topic
  40. Spatiotemporal Features2▲ 38×1 topic

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

By volume in 2022–2025: Generative Adversarial Networks and Image Synthesis, Computer Graphics and Visualization Techniques, 3D Shape Modeling and Analysis and Recommender Systems and Techniques.

Generative Adversarial N…5Generative Adversarial Networks and Image Synthesis: 5 fractional worksComputer Graphics and Vi…5Computer Graphics and Visualization Techniques: 5 fractional works3D Shape Modeling and An…43D Shape Modeling and Analysis: 4 fractional worksRecommender Systems and …4Recommender Systems and Techniques: 4 fractional worksAdvanced Vision and Imaging: 4 fractional worksVideo Analysis and Summarization: 3 fractional worksAdvanced Graph Neural Ne…3Advanced Graph Neural Networks: 3 fractional worksAugmented Reality Applications: 3 fractional worksVirtual Reality Applications and Impacts: 2 fractional worksHuman Pose and Action Recognition: 2 fractional works
Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignComputational MechanicsInformation Systems2 others

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

  1. 1 Generative Adversarial Networks and Image Synthesis Computer Vision and Pattern Recognition 5 works
  2. 2 Computer Graphics and Visualization Techniques Computer Graphics and Computer-Aided Design 5 works
  3. 3 3D Shape Modeling and Analysis Computational Mechanics 4 works
  4. 4 Recommender Systems and Techniques Information Systems 4 works
  5. 5 Advanced Vision and Imaging Computer Vision and Pattern Recognition 4 works
  6. 6 Video Analysis and Summarization Computer Vision and Pattern Recognition 3 works
  7. 7 Advanced Graph Neural Networks Artificial Intelligence 3 works
  8. 8 Augmented Reality Applications Computer Vision and Pattern Recognition 3 works
  9. 9 Virtual Reality Applications and Impacts Human-Computer Interaction 2 works
  10. 10 Human Pose and Action Recognition Computer Vision and Pattern Recognition 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.

openly available39.1%not open60.9%

World: 28% of research is openly available.

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

World: 19% is written across borders.

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

Output in 2018–2022 was 249% 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 Los Angeles

All research institutions in Los Angeles

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.