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Researcher · Georgetown University · United States

Shira Wein

Shira Wein publishes mostly in Artificial Intelligence, Cognitive Neuroscience and Information Systems, on topics such as Natural Language Processing Techniques, Topic Modeling and Text Readability and Simplification.

ORCID 0000-0002-1062-0866 OpenAlex
World rank
#7,164,561
of 7,710,434 ranked researchers
Rank in United States
#1,588,548
of 1,627,098
Works
48
Citations
51
Citations per work
1.1
h-index
4
i10-index 1Top 90% in Artificial Intelligence
Shira Wein

What does Shira Wein research?

Shira Wein's work is mostly in Computer Science (69%), Neuroscience (5%), Arts and Humanities (3%).

Physical Sciences: 33 works · 69.2% of their workComputer Science: 33 works · 69.2% of their workArtificial Intelligence: 32 works · 65.9% of their workInformation Systems: 2 works · 3.3% of their workEverything else: 9 works · 17.8% of their workSocial Sciences: 3 works · 5.7% of their workArts and Humanities: 2 works · 3.3% of their workLanguage and Linguistics: 2 works · 3.3% of their workPsychology: 1 works · 2.4% of their workDevelopmental and Educational Psychology: 1 works · 2.4% of their workLife Sciences: 2 works · 4.9% of their workNeuroscience: 2 works · 4.9% of their workCognitive Neuroscience: 2 works · 4.9% of their workHealth Sciences: 1 works · 2.4% of their workHealth Professions: 1 works · 2.4% of their workGeneral Health Professions: 1 works · 2.4% of their workTHEIR WORKShira Wein48works
Life Sciences5%Physical Sciences69%Health Sciences2%Social Sciences6%

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 Science3369.2%
  2. Everything else917.8%
    1. Arts and Humanities23.3%
    2. Psychology12.4%
    1. Neuroscience24.9%
    1. Health Professions12.4%
  1. 1Artificial Intelligence66% of their works
  2. 2Cognitive Neuroscience5% of their works
  3. 3Information Systems3% of their works
  4. 4Language and Linguistics3% of their works
  5. 5Developmental and Educational Psychology2% of their works
  6. 6General Health Professions2% of their works

Research topics

Which keywords describe Shira Wein's research?

The keywords of their largest research topics: Neural Networks, Neural Machine Translation, Statistical Machine Translation, Machine Translation, Word Representation, Natural Language Processing, Readability Assessment and Text Simplification.

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 Networks393 topics
  2. Neural Machine Translation281 topic
  3. Statistical Machine Translation281 topic
  4. Machine Translation271 topic
  5. Word Representation271 topic
  6. Natural Language Processing92 topics
  7. Readability Assessment71 topic
  8. Text Simplification71 topic
  9. Automatic51 topic
  10. Extraction51 topic
  11. Markov Decision Processes51 topic
  12. Spoken Dialogue Systems51 topic
  13. Interpretable Models31 topic
  14. Machine Learning Interpretability31 topic
  15. Biomedical Ontologies21 topic
  16. Language Processing21 topic
  17. Semantic Memory21 topic
  18. Text Mining21 topic

Where does Shira Wein work?

Shira Wein's main affiliation in the publication record is Georgetown University, United States.

How many publications and citations does Shira Wein have?

OpenAlex counts 48 works and 51 citations for Shira Wein, an h-index of 4, ranking #7,164,561 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.

Discussion

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