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Salesforce (United States)

In research, Salesforce (United States) stands highest in Computer Science (#1,134 of 4,667 worldwide), Artificial Intelligence (#783 of 1,884 worldwide) and Physical Sciences (#6,920 of 12,888 worldwide), 2022–2025. Relative to its size it is most specialised in Management Information Systems, Artificial Intelligence and Computer Science — Management Information Systems is 18.4× its share of world research.

salesforce.comROR OpenAlex
World rank, 2022–2025
#11,220
of 28,054 · #20,185 all time
Rank in United States
#1,523
of 4,192
Research works
555
▲ 411% vs 2013–17
Citations
10k
18.4 per fractional work
Top-10% rate
25.8%
record average 16.5%
Open access
65%
world 28%

What is Salesforce (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 #1,134 of 4,667 29.9%189 #2079
Artificial IntelligenceSubfield #783 of 1,884 31.7%85 #1149
Physical SciencesDomain #6,920 of 12,888 27.7%216 #12808
Social SciencesDomain #7,285 of 10,521 22.0%79 #12465

Each strip is that field’s whole ranked pool, with the notch where Salesforce (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#2,079 #1,134
  2. Artificial Intelligence#1,149 #783
  3. Physical Sciences#12,808 #6,920
  4. Social Sciences#12,465 #7,285
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 Salesforce (United States) specialise in?

Where its research is concentrated relative to its size: Management Information Systems takes 18.4× the share of its output that it takes of world research.

  1. Management Information SystemsSubfield · 23.3 works18×
  2. Artificial IntelligenceSubfield · 85.1 works11×
  3. Computer ScienceField · 189.2 works7.9×
  4. Computer Networks and CommunicationsSubfield · 21.4 works7.8×
  5. Information SystemsSubfield · 42.4 works7.8×
  6. Computer Vision and Pattern RecognitionSubfield · 25.1 works6.5×
← 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: 0.01× its world share, 0 worksAgricultural and Bio…Biochemistry, Genetics and Molecular Biology: 0.09× its world share, 2 worksBiochemistry, Geneti…Neuroscience: 0.11× its world share, 0 worksNeuroscienceChemical Engineering: 0.46× its world share, 0 worksChemical EngineeringChemistry: 0.09× its world share, 0 worksChemistryComputer Science: 7.88× its world share, 189 worksComputer ScienceEarth and Planetary Sciences: 0.10× its world share, 0 worksEarth and Planetary …Energy: 0.13× its world share, 0 worksEnergyEngineering: 0.47× its world share, 22 worksEngineeringEnvironmental Science: 0.15× its world share, 2 worksEnvironmental ScienceMaterials Science: 0.03× its world share, 0 worksMaterials SciencePhysics and Astronomy: 0.14× its world share, 1 worksPhysics and AstronomyDentistry: 0.33× its world share, 0 worksDentistryHealth Professions: 0.62× its world share, 5 worksHealth ProfessionsMedicine: 0.09× its world share, 5 worksMedicineArts and Humanities: 0.13× its world share, 1 worksArts and HumanitiesBusiness, Management and Accounting: 3.60× its world share, 36 worksBusiness, Management…Decision Sciences: 5.47× its world share, 16 worksDecision SciencesEconomics, Econometrics and Finance: 0.45× its world share, 3 worksEconomics, Econometr…Psychology: 0.31× its world share, 3 worksPsychologySocial Sciences: 0.52× its world share, 20 worksSocial Sciences1×world share
more than its size predictsabout as predictedless

Rings at 0.5×, 1× and 2×. Widest outward: Computer Science, 7.9×. Every wedge is a field page.

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

Ranked on the composite score, Richard Socher, Caiming Xiong and Yingbo Zhou lead among researchers whose main affiliation is Salesforce (United States).

  1. 1 Richard Socher United States · #2,141 worldwide 3.3k citations · 76 works
  2. 2 Caiming Xiong United States · #35,263 worldwide 1.8k citations · 187 works
  3. 3 Yingbo Zhou United States · #111,521 worldwide 486 citations · 52 works
  4. 4 Chien-Sheng Wu United States · #170,571 worldwide 262 citations · 45 works
  5. 5 Wenpeng Yin United States · #190,931 worldwide 258 citations · 36 works
  6. 6 Nitish Shirish Keskar United States · #219,735 worldwide 253 citations · 17 works
  7. 7 Bryan McCann United States · #333,348 worldwide 66 citations · 20 works
  8. 8 Nazneen Fatema Rajani United States · #394,603 worldwide 79 citations · 28 works
  9. 9 Xi Lin United States · #541,223 worldwide 161 citations · 29 works
  10. 10 Philippe Laban United States · #652,589 worldwide 71 citations · 25 works
All ranked researchers at Salesforce (United States)

Which keywords describe research at Salesforce (United States)?

By fractional works in 2022–2025, weighted toward what it does more of than the world: Neural Networks, Deep Learning, Big Data, Machine Learning, Supply Chain Management, Information Retrieval, Topic Modeling 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 Learning56▲ 5.3×54 topics
  2. Neural Networks56▲ 12×25 topics
  3. Machine Learning48▲ 4.8×48 topics
  4. Big Data46▲ 17×18 topics
  5. Supply Chain Management28▲ 9.8×8 topics
  6. Information Retrieval24▲ 36×5 topics
  7. Sustainability23▲ 3.1×9 topics
  8. Topic Modeling23▲ 50×3 topics
  9. Text Classification23▲ 47×2 topics
  10. Machine Translation21▲ 41×1 topic
  11. Word Representation21▲ 56×1 topic
  12. Artificial Intelligence20▲ 4.8×19 topics
  13. Distributed Systems19▲ 38×6 topics
  14. Security18▲ 8.7×12 topics
  15. Predictive Analytics17▲ 51×2 topics
  16. Cloud Computing17▲ 20×7 topics
  17. Analytics16▲ 56×1 topic
  18. Business Intelligence16▲ 56×1 topic
  19. Internet of Things16▲ 5.9×11 topics
  20. Healthcare15▲ 4.3×10 topics
  21. Data Mining15▲ 6.3×12 topics
  22. Neural Machine Translation13▲ 43×1 topic
  23. Statistical Machine Translation13▲ 43×1 topic
  24. Anomaly Detection12▲ 14×3 topics
  25. Representation Learning12▲ 27×3 topics
  26. Energy Efficiency11▲ 3.8×6 topics
  27. Resource Management11▲ 20×2 topics
  28. Cybersecurity10▲ 13×5 topics
  29. Virtualization10▲ 40×2 topics
  30. Privacy10▲ 10×4 topics
  31. Semi-Supervised Learning9▲ 27×3 topics
  32. Data Centers9▲ 50×1 topic
  33. MapReduce9▲ 50×1 topic
  34. IoT Security9▲ 8.8×3 topics
  35. Semantic Reasoning9▲ 35×2 topics
  36. Visual Question Answering9▲ 35×2 topics
  37. Image Captioning8▲ 55×1 topic
  38. Multimodal Fusion8▲ 55×1 topic
  39. Unsupervised Learning8▲ 18×3 topics
  40. Collaborative Filtering7▲ 67×1 topic

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

By volume in 2022–2025: Topic Modeling, Big Data and Business Intelligence, Natural Language Processing Techniques and Cloud Computing and Resource Management.

Topic Modeling21Topic Modeling: 21 fractional worksBig Data and Business Intelligence: 16 fractional worksNatural Language Processing Techniques: 13 fractional worksCloud Computing and Resource Management: 9 fractional worksMultimodal Machine Learning Applications: 8 fractional worksRecommender Systems and …7Recommender Systems and Techniques: 7 fractional worksSoftware System Performance and Reliability: 6 fractional worksDigital Transformation in Industry: 5 fractional worksDomain Adaptation and Few-Shot Learning: 5 fractional worksNetwork Security and Intrusion Detection: 4 fractional works
Artificial IntelligenceManagement Information SystemsInformation SystemsComputer Vision and Pattern Recognition2 others

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

  1. 1 Topic Modeling Artificial Intelligence 21 works
  2. 2 Big Data and Business Intelligence Management Information Systems 16 works
  3. 3 Natural Language Processing Techniques Artificial Intelligence 13 works
  4. 4 Cloud Computing and Resource Management Information Systems 9 works
  5. 5 Multimodal Machine Learning Applications Computer Vision and Pattern Recognition 8 works
  6. 6 Recommender Systems and Techniques Information Systems 7 works
  7. 7 Software System Performance and Reliability Computer Networks and Communications 6 works
  8. 8 Digital Transformation in Industry Industrial and Manufacturing Engineering 5 works
  9. 9 Domain Adaptation and Few-Shot Learning Artificial Intelligence 5 works
  10. 10 Network Security and Intrusion Detection Computer Networks and Communications 4 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 available65.2%not open34.8%

World: 28% of research is openly available.

with international co-authors19.1%domestic only80.9%

World: 19% is written across borders.

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

Output in 2018–2022 was 411% 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 San Francisco

All research institutions in San Francisco

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.