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Researcher · Mila - Quebec Artificial Intelligence Institute · Canada

Shravan Nayak

Shravan Nayak publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction, on topics such as Multimodal Machine Learning Applications, Natural Language Processing Techniques and Topic Modeling.

ORCID 0000-0002-5298-7121 OpenAlex
World rank
#3,500,429
of 7,710,434 ranked researchers
Rank in Canada
#110,713
of 183,316
Works
31
Citations
60
Citations per work
1.9
h-index
4
i10-index 1Top 90% in Artificial Intelligence
Shravan Nayak

What does Shravan Nayak research?

Shravan Nayak's work is mostly in Computer Science (69%), Social Sciences (6%), Psychology (5%).

Physical Sciences: 21 works · 69.1% of their workComputer Science: 21 works · 69.1% of their workArtificial Intelligence: 11 works · 36.9% of their workComputer Vision and Pattern Recognition: 8 works · 26.2% of their workHuman-Computer Interaction: 2 works · 6.0% of their workEverything else: 5 works · 17.7% of their workSocial Sciences: 4 works · 13.2% of their workSocial Sciences: 2 works · 6.0% of their workCultural Studies: 2 works · 6.0% of their workPsychology: 1 works · 4.8% of their workExperimental and Cognitive Psychology: 1 works · 4.8% of their workArts and Humanities: 1 works · 2.4% of their workLanguage and Linguistics: 1 works · 2.4% of their workTHEIR WORKShravan Nayak31works
Physical Sciences69%Social Sciences13%

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 Science2169.1%
  2. Everything else517.7%
    1. Social Sciences26.0%
    2. Psychology14.8%
    3. Arts and Humanities12.4%
  1. 1Artificial Intelligence37% of their works
  2. 2Computer Vision and Pattern Recognition26% of their works
  3. 3Human-Computer Interaction6% of their works
  4. 4Cultural Studies6% of their works
  5. 5Experimental and Cognitive Psychology5% of their works
  6. 6Language and Linguistics2% of their works

Research topics

Which keywords describe Shravan Nayak's research?

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

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 19 words, with their numbers
  1. Neural Networks223 topics
  2. Deep Learning152 topics
  3. Image Captioning131 topic
  4. Visual Question Answering131 topic
  5. Language92 topics
  6. Neural Machine Translation81 topic
  7. Statistical Machine Translation81 topic
  8. Machine Translation71 topic
  9. Word Representation71 topic
  10. Cultural Evolution51 topic
  11. Social Learning51 topic
  12. Metaphor41 topic
  13. Time41 topic
  14. Design Research31 topic
  15. Interpretable Models31 topic
  16. Machine Learning Interpretability31 topic
  17. User Experience31 topic
  18. Adversarial Examples21 topic
  19. Robustness21 topic

Where does Shravan Nayak work?

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

How many publications and citations does Shravan Nayak have?

OpenAlex counts 31 works and 60 citations for Shravan Nayak, an h-index of 4, ranking #3,500,429 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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