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Researcher · University of Pennsylvania · United States

Lyle Ungar

Lyle Ungar publishes mostly in Artificial Intelligence, Social Psychology and Experimental and Cognitive Psychology, on topics such as Mental Health via Writing, Topic Modeling and Natural Language Processing Techniques.

ORCID 0000-0003-2047-1443 OpenAlex
World rank
#20,253
of 7,710,434 ranked researchers
Rank in United States
#7,381
of 1,627,098
Works
646
Citations
31k
Citations per work
48.3
h-index
89
i10-index 323Top 0.1% in Artificial Intelligence
Lyle Ungar

What does Lyle Ungar research?

Lyle Ungar's work is mostly in Computer Science (26%), Psychology (12%), Social Sciences (4%).

Everything else: 331 works · 51.2% of their workPhysical Sciences: 189 works · 29.3% of their workComputer Science: 167 works · 25.9% of their workArtificial Intelligence: 167 works · 25.9% of their workEngineering: 22 works · 3.4% of their workControl and Systems Engineering: 22 works · 3.4% of their workSocial Sciences: 105 works · 16.3% of their workPsychology: 78 works · 12.1% of their workSocial Psychology: 49 works · 7.6% of their workExperimental and Cognitive Psychology: 29 works · 4.5% of their workSocial Sciences: 27 works · 4.2% of their workSociology and Political Science: 27 works · 4.2% of their workLife Sciences: 21 works · 3.2% of their workBiochemistry, Genetics and Molecular Biology: 21 works · 3.2% of their workMolecular Biology: 21 works · 3.2% of their workTHEIR WORKLyle Ungar646works
Life Sciences3%Physical Sciences29%Social Sciences16%

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. Everything else33151.2%
    1. Computer Science16725.9%
    2. Engineering223.4%
    1. Psychology7812.1%
    2. Social Sciences274.2%
    1. Biochemistry, Genetics and Molecular Biology213.2%
  1. 1Artificial Intelligence26% of their works
  2. 2Social Psychology8% of their works
  3. 3Experimental and Cognitive Psychology4% of their works
  4. 4Sociology and Political Science4% of their works
  5. 5Control and Systems Engineering3% of their works
  6. 6Molecular Biology3% of their works

Research topics

Which keywords describe Lyle Ungar's research?

The keywords of their largest research topics: Machine Learning, Social Media, Neural Networks, Emotional Disclosure, Psychological Language Analysis, Machine Translation, Word Representation and Deep Learning.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Machine Learning1502 topics
  2. Social Media1502 topics
  3. Neural Networks1182 topics
  4. Emotional Disclosure1051 topic
  5. Psychological Language Analysis1051 topic
  6. Machine Translation891 topic
  7. Word Representation891 topic
  8. Deep Learning742 topics
  9. Neural Machine Translation541 topic
  10. Statistical Machine Translation541 topic
  11. Network Analysis451 topic
  12. Opinion Mining451 topic
  13. Psychopathology451 topic
  14. Sentiment Analysis451 topic
  15. Cognitive Behavioral Therapy431 topic
  16. Internet-based Interventions431 topic
  17. Backpropagation Learning291 topic
  18. Self-Organizing Maps291 topic
  19. Health Literacy251 topic
  20. eHealth251 topic

Where does Lyle Ungar work?

Lyle Ungar's main affiliation in the publication record is University of Pennsylvania, United States.

How many publications and citations does Lyle Ungar have?

OpenAlex counts 646 works and 31,201 citations for Lyle Ungar, an h-index of 89, ranking #20,253 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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.

Discussion

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