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Researcher · Mila - Quebec Artificial Intelligence Institute · Canada

Aishwarya Agrawal

Aishwarya Agrawal publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology, on topics such as Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning and Advanced Image and Video Retrieval Techniques.

ORCID 0000-0002-8620-8077 OpenAlex
World rank
#1,405,051
of 7,710,434 ranked researchers
Rank in Canada
#47,342
of 183,316
Works
64
Citations
6.9k
Citations per work
107.3
h-index
14
i10-index 17Top 27% in Computer Vision and Pattern Recognition
Aishwarya Agrawal

What does Aishwarya Agrawal research?

Aishwarya Agrawal's work is mostly in Computer Science (83%), Psychology (4%), Engineering (2%).

Physical Sciences: 55 works · 85.5% of their workComputer Science: 53 works · 83.3% of their workComputer Vision and Pattern Recognition: 28 works · 43.6% of their workArtificial Intelligence: 22 works · 34.1% of their workHuman-Computer Interaction: 2 works · 3.4% of their workComputer Networks and Communications: 1 works · 2.2% of their workEngineering: 1 works · 2.2% of their workAutomotive Engineering: 1 works · 2.2% of their workEverything else: 7 works · 10.6% of their workSocial Sciences: 2 works · 3.9% of their workPsychology: 2 works · 3.9% of their workExperimental and Cognitive Psychology: 2 works · 3.9% of their workTHEIR WORKAishwarya Agrawal64works
Physical Sciences86%Social Sciences4%

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 Science5383.3%
    2. Engineering12.2%
  2. Everything else710.6%
    1. Psychology23.9%
  1. 1Computer Vision and Pattern Recognition44% of their works
  2. 2Artificial Intelligence34% of their works
  3. 3Experimental and Cognitive Psychology4% of their works
  4. 4Human-Computer Interaction3% of their works
  5. 5Automotive Engineering2% of their works
  6. 6Computer Networks and Communications2% of their works

Research topics

Which keywords describe Aishwarya Agrawal's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Image Captioning, Visual Question Answering, Domain Adaptation, Transfer Learning, Feature Matching and Local Descriptors.

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 18 words, with their numbers
  1. Deep Learning653 topics
  2. Neural Networks542 topics
  3. Image Captioning421 topic
  4. Visual Question Answering421 topic
  5. Domain Adaptation251 topic
  6. Transfer Learning251 topic
  7. Feature Matching181 topic
  8. Local Descriptors181 topic
  9. Machine Translation121 topic
  10. Word Representation121 topic
  11. Action Recognition51 topic
  12. Metaphor51 topic
  13. Pose Estimation51 topic
  14. Time51 topic
  15. Markov Decision Processes41 topic
  16. Neural Machine Translation41 topic
  17. Spoken Dialogue Systems41 topic
  18. Statistical Machine Translation41 topic

Where does Aishwarya Agrawal work?

Aishwarya Agrawal's main affiliation in the publication record is Mila - Quebec Artificial Intelligence Institute, Canada.

How many publications and citations does Aishwarya Agrawal have?

OpenAlex counts 64 works and 6,865 citations for Aishwarya Agrawal, an h-index of 14, ranking #1,405,051 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.

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