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Researcher · Salesforce (United States) · United States

Richard Socher

Richard Socher publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Topic Modeling, Natural Language Processing Techniques and Multimodal Machine Learning Applications.

ORCID 0000-0002-3577-639X OpenAlex
World rank
#13,924
of 7,710,434 ranked researchers
Rank in United States
#4,905
of 1,627,098
Works
222
Citations
140k
Citations per work
632.5
h-index
76
i10-index 166Top 0.2% in Artificial Intelligence
Richard Socher

What does Richard Socher research?

Richard Socher's work is mostly in Computer Science (87%), Biochemistry, Genetics and Molecular Biology (3%), Medicine (1%).

Physical Sciences: 193 works · 86.8% of their workComputer Science: 193 works · 86.8% of their workArtificial Intelligence: 146 works · 65.6% of their workComputer Vision and Pattern Recognition: 39 works · 17.7% of their workSignal Processing: 5 works · 2.4% of their workInformation Systems: 2 works · 1.1% of their workEverything else: 20 works · 8.9% of their workLife Sciences: 7 works · 3.0% of their workBiochemistry, Genetics and Molecular Biology: 7 works · 3.0% of their workMolecular Biology: 7 works · 3.0% of their workHealth Sciences: 3 works · 1.3% of their workMedicine: 3 works · 1.3% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 1.3% of their workTHEIR WORKRichard Socher222works
Life Sciences3%Physical Sciences87%Health Sciences1%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science19386.8%
  2. Everything else208.9%
    1. Biochemistry, Genetics and Molecular Biology73.0%
    1. Medicine31.3%
  1. 1Artificial Intelligence66% of their works
  2. 2Computer Vision and Pattern Recognition18% of their works
  3. 3Molecular Biology3% of their works
  4. 4Signal Processing2% of their works
  5. 5Radiology, Nuclear Medicine and Imaging1% of their works
  6. 6Information Systems1% of their works

Research topics

Which keywords describe Richard Socher's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Deep Learning, Image Captioning and Visual Question Answering.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 18 words, with their numbers
  1. Neural Networks1943 topics
  2. Machine Translation1201 topic
  3. Word Representation1201 topic
  4. Neural Machine Translation1021 topic
  5. Statistical Machine Translation1021 topic
  6. Deep Learning702 topics
  7. Image Captioning571 topic
  8. Visual Question Answering571 topic
  9. Domain Adaptation271 topic
  10. Transfer Learning271 topic
  11. Markov Decision Processes191 topic
  12. Spoken Dialogue Systems191 topic
  13. Acoustic Modeling181 topic
  14. Deep Neural Networks181 topic
  15. Automatic171 topic
  16. Extraction171 topic
  17. Feature Matching131 topic
  18. Local Descriptors131 topic

Where does Richard Socher work?

Richard Socher's main affiliation in the publication record is Salesforce (United States), United States.

How many publications and citations does Richard Socher have?

OpenAlex counts 222 works and 140,416 citations for Richard Socher, an h-index of 76, ranking #13,924 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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