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Researcher · New York University · United States

Alicia Parrish

Alicia Parrish publishes mostly in Artificial Intelligence, Cognitive Neuroscience and Safety Research, on topics such as Topic Modeling, Natural Language Processing Techniques and Adversarial Robustness in Machine Learning.

ORCID 0000-0002-1054-0516 OpenAlex
World rank
#2,355,530
of 7,710,434 ranked researchers
Rank in United States
#700,462
of 1,627,098
Works
69
Citations
2.9k
Citations per work
42.7
h-index
15
i10-index 18Top 22% in Artificial Intelligence
Alicia Parrish

What does Alicia Parrish research?

Alicia Parrish's work is mostly in Computer Science (64%), Neuroscience (7%), Social Sciences (7%).

Physical Sciences: 44 works · 63.8% of their workComputer Science: 44 works · 63.8% of their workArtificial Intelligence: 37 works · 53.6% of their workComputer Vision and Pattern Recognition: 5 works · 6.6% of their workInformation Systems: 2 works · 3.6% of their workEverything else: 13 works · 18.2% of their workSocial Sciences: 7 works · 10.8% of their workSocial Sciences: 5 works · 6.6% of their workSafety Research: 5 works · 6.6% of their workPsychology: 3 works · 4.2% of their workDevelopmental and Educational Psychology: 3 works · 4.2% of their workLife Sciences: 5 works · 7.2% of their workNeuroscience: 5 works · 7.2% of their workCognitive Neuroscience: 5 works · 7.2% of their workTHEIR WORKAlicia Parrish69works
Life Sciences7%Physical Sciences64%Social Sciences11%

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 Science4463.8%
  2. Everything else1318.2%
    1. Social Sciences56.6%
    2. Psychology34.2%
    1. Neuroscience57.2%
  1. 1Artificial Intelligence54% of their works
  2. 2Cognitive Neuroscience7% of their works
  3. 3Safety Research7% of their works
  4. 4Computer Vision and Pattern Recognition7% of their works
  5. 5Developmental and Educational Psychology4% of their works
  6. 6Information Systems4% of their works

Research topics

Which keywords describe Alicia Parrish's research?

The keywords of their largest research topics: Neural Networks, Machine Learning, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Deep Learning and Adversarial Examples.

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 19 words, with their numbers
  1. Neural Networks362 topics
  2. Machine Learning293 topics
  3. Machine Translation231 topic
  4. Word Representation231 topic
  5. Neural Machine Translation191 topic
  6. Statistical Machine Translation191 topic
  7. Deep Learning182 topics
  8. Adversarial Examples131 topic
  9. Interpretable Models131 topic
  10. Machine Learning Interpretability131 topic
  11. Robustness131 topic
  12. Ethics111 topic
  13. Fairness111 topic
  14. Detection51 topic
  15. Hate Speech51 topic
  16. Language Processing51 topic
  17. Markov Decision Processes51 topic
  18. Semantic Memory51 topic
  19. Spoken Dialogue Systems51 topic

Where does Alicia Parrish work?

Alicia Parrish's main affiliation in the publication record is New York University, United States.

How many publications and citations does Alicia Parrish have?

OpenAlex counts 69 works and 2,949 citations for Alicia Parrish, an h-index of 15, ranking #2,355,530 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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