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Company · Sunnyvale · United States

LinkedIn (United States)

In research, LinkedIn (United States) stands highest in Physical Sciences (#11,040 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Artificial Intelligence — Artificial Intelligence is 8.0× its share of world research.

linkedin.comROR OpenAlex
World rank, 2022–2025
#20,563
of 28,054 · #19,902 all time
Rank in United States
#3,030
of 4,192
Research works
609
◆ 1% vs 2013–17
Citations
13k
21.2 per fractional work
Top-10% rate
13.5%
record average 16.5%
Open access
30%
world 28%

What is LinkedIn (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
Physical SciencesDomain #11,040 of 12,888 18.0%75 #13190

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

Where its research is concentrated relative to its size: Artificial Intelligence takes 8.0× the share of its output that it takes of world research.

  1. Artificial IntelligenceSubfield · 27.1 works8.0×
← 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: 0.05× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.37× its world share, 3 worksBiochemistry, Geneti…Immunology and Microbiology: 0.12× its world share, 0 worksImmunology and Micro…Neuroscience: 0.50× its world share, 1 worksNeurosciencePharmacology, Toxicology and Pharmaceutics: 1.01× its world share, 0 worksPharmacology, Toxico…Chemical Engineering: 0.34× its world share, 0 worksChemical EngineeringChemistry: 0.08× its world share, 0 worksChemistryComputer Science: 5.27× its world share, 58 worksComputer ScienceEarth and Planetary Sciences: 0.31× its world share, 1 worksEarth and Planetary …Engineering: 0.42× its world share, 9 worksEngineeringEnvironmental Science: 0.14× its world share, 1 worksEnvironmental ScienceMaterials Science: 0.11× its world share, 1 worksMaterials ScienceMathematics: 1.90× its world share, 3 worksMathematicsPhysics and Astronomy: 1.01× its world share, 3 worksPhysics and AstronomyHealth Professions: 2.38× its world share, 9 worksHealth ProfessionsMedicine: 0.37× its world share, 10 worksMedicineNursing: 4.21× its world share, 3 worksNursingArts and Humanities: 1.00× its world share, 4 worksArts and HumanitiesBusiness, Management and Accounting: 1.04× its world share, 5 worksBusiness, Management…Decision Sciences: 6.21× its world share, 8 worksDecision SciencesEconomics, Econometrics and Finance: 0.52× its world share, 2 worksEconomics, Econometr…Psychology: 1.03× its world share, 4 worksPsychologySocial Sciences: 0.87× its world share, 16 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Decision Sciences, 6.2×. Every wedge is a field page.

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

Ranked on the composite score, Bee-Chung Chen, Rómer Rosales and Kinjal Basu lead among researchers whose main affiliation is LinkedIn (United States).

  1. 1 Bee-Chung Chen United States · #289,524 worldwide 275 citations · 17 works
  2. 2 Rómer Rosales United States · #990,966 worldwide 96 citations · 17 works
  3. 3 Kinjal Basu United States · #1,610,893 worldwide 10 citations · 19 works
All ranked researchers at LinkedIn (United States)

Which keywords describe research at LinkedIn (United States)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Deep Learning, Neural Networks, Machine Learning, Big Data, Information Retrieval, Collaborative Filtering, Matrix Factorization and Text Classification.

▲ 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 Learning23▲ 4.8×37 topics
  2. Neural Networks18▲ 8.1×17 topics
  3. Machine Learning14▲ 3.0×31 topics
  4. Big Data8▲ 6.3×11 topics
  5. Information Retrieval6▲ 21×3 topics
  6. Collaborative Filtering5▲ 107×1 topic
  7. Matrix Factorization5▲ 107×1 topic
  8. Text Classification5▲ 24×2 topics
  9. Artificial Intelligence5▲ 2.7×9 topics
  10. Topic Modeling5▲ 25×2 topics
  11. Machine Translation5▲ 21×1 topic
  12. Word Representation5▲ 29×1 topic
  13. Semi-Supervised Learning5▲ 30×3 topics
  14. Representation Learning4▲ 23×3 topics
  15. Public Health4▲ 2.0×6 topics
  16. Surveillance4▲ 11×3 topics
  17. Graph Convolutional Networks4▲ 25×2 topics
  18. Distributed Systems4▲ 16×6 topics
  19. Graph Neural Networks4▲ 56×1 topic
  20. Knowledge Graph Embedding4▲ 56×1 topic
  21. Data Integration4▲ 15×4 topics
  22. Online Learning4▲ 3.0×7 topics
  23. Convex Optimization3▲ 31×4 topics
  24. Nursing Education3▲ 17×2 topics
  25. Cloud Computing3▲ 7.7×5 topics
  26. Time Series3▲ 11×3 topics
  27. Hyperparameter Optimization2▲ 44×2 topics
  28. Resource Management2▲ 10×2 topics
  29. Virtualization2▲ 22×2 topics
  30. Discrimination2▲ 8.7×2 topics
  31. Political Participation2▲ 20×2 topics
  32. Algorithmic Bias2▲ 24×1 topic
  33. Fairness2▲ 19×1 topic
  34. Health Policy2▲ 11×1 topic
  35. Nursing Advocacy2▲ 186×1 topic
  36. Patient Care2▲ 14×4 topics
  37. Social Isolation2▲ 7.5×3 topics
  38. Data Centers2▲ 26×1 topic
  39. MapReduce2▲ 26×1 topic
  40. Ontology2▲ 18×2 topics

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

By volume in 2022–2025: Recommender Systems and Techniques, Topic Modeling, Advanced Graph Neural Networks and Nursing Education, Practice, and Leadership.

Recommender Systems and Techniques: 5 fractional worksTopic Modeling5Topic Modeling: 5 fractional worksAdvanced Graph Neural Networks: 4 fractional worksNursing Education, Practice, and Leadership: 2 fractional worksEthics and Social Impacts of AI: 2 fractional worksCloud Computing and Reso…2Cloud Computing and Resource Management: 2 fractional worksSemantic Web and Ontologies: 2 fractional worksAdvanced Image and Video Retrieval Techniques: 2 fractional worksScientific Computing and Data Management: 2 fractional worksPrivacy-Preserving Technologies in Data: 2 fractional works
Information SystemsArtificial IntelligenceIssues, ethics and legal aspectsSafety Research2 others

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

  1. 1 Recommender Systems and Techniques Information Systems 5 works
  2. 2 Topic Modeling Artificial Intelligence 5 works
  3. 3 Advanced Graph Neural Networks Artificial Intelligence 4 works
  4. 4 Nursing Education, Practice, and Leadership Issues, ethics and legal aspects 2 works
  5. 5 Ethics and Social Impacts of AI Safety Research 2 works
  6. 6 Cloud Computing and Resource Management Information Systems 2 works
  7. 7 Semantic Web and Ontologies Artificial Intelligence 2 works
  8. 8 Advanced Image and Video Retrieval Techniques Computer Vision and Pattern Recognition 2 works
  9. 9 Scientific Computing and Data Management Information Systems and Management 2 works
  10. 10 Privacy-Preserving Technologies in Data Artificial Intelligence 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 available30.5%not open69.5%

World: 28% of research is openly available.

with international co-authors15.2%domestic only84.8%

World: 19% is written across borders.

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

Output in 2018–2022 was 1% higher 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 Sunnyvale

All research institutions in Sunnyvale

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.