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Researcher · Polytechnique Montréal · Canada

Chris Pal

Chris Pal publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Topic Modeling, Natural Language Processing Techniques and Generative Adversarial Networks and Image Synthesis.

OpenAlex
World rank
#287,088
of 7,710,434 ranked researchers
Rank in Canada
#9,946
of 183,316
Works
98
Citations
9k
Citations per work
92.3
h-index
31
i10-index 45Top 4.4% in Artificial Intelligence
Chris Pal

What does Chris Pal research?

Chris Pal's work is mostly in Computer Science (71%), Biochemistry, Genetics and Molecular Biology (3%), Neuroscience (3%).

Physical Sciences: 70 works · 71.4% of their workComputer Science: 70 works · 71.4% of their workArtificial Intelligence: 38 works · 38.8% of their workComputer Vision and Pattern Recognition: 26 works · 26.4% of their workInformation Systems: 3 works · 3.3% of their workSignal Processing: 3 works · 2.9% of their workEverything else: 22 works · 22.8% of their workLife Sciences: 6 works · 5.8% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 3.3% of their workMolecular Biology: 3 works · 3.3% of their workNeuroscience: 2 works · 2.5% of their workCognitive Neuroscience: 2 works · 2.5% of their workTHEIR WORKChris Pal98works
Life Sciences6%Physical Sciences71%

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 Science7071.4%
  2. Everything else2222.8%
    1. Biochemistry, Genetics and Molecular Biology33.3%
    2. Neuroscience22.5%
  1. 1Artificial Intelligence39% of their works
  2. 2Computer Vision and Pattern Recognition26% of their works
  3. 3Information Systems3% of their works
  4. 4Molecular Biology3% of their works
  5. 5Signal Processing3% of their works
  6. 6Cognitive Neuroscience2% of their works

Research topics

Which keywords describe Chris Pal's research?

The keywords of their largest research topics: Neural Networks, Deep Learning, Machine Translation, Word Representation, Representation Learning, Unsupervised Learning, Convolutional Neural Networks and Neural 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 21 words, with their numbers
  1. Neural Networks504 topics
  2. Deep Learning374 topics
  3. Machine Translation231 topic
  4. Word Representation231 topic
  5. Representation Learning212 topics
  6. Unsupervised Learning212 topics
  7. Convolutional Neural Networks202 topics
  8. Neural Machine Translation171 topic
  9. Statistical Machine Translation171 topic
  10. Generative Adversarial Networks121 topic
  11. Image Synthesis121 topic
  12. Acoustic Modeling101 topic
  13. Deep Neural Networks101 topic
  14. Image Recognition101 topic
  15. Object Detection101 topic
  16. Domain Adaptation91 topic
  17. Transfer Learning91 topic
  18. Image Captioning81 topic
  19. Visual Question Answering81 topic
  20. Reinforcement Learning71 topic
  21. Robotics71 topic

Where does Chris Pal work?

Chris Pal's main affiliation in the publication record is Polytechnique Montréal, Canada.

How many publications and citations does Chris Pal have?

OpenAlex counts 98 works and 9,042 citations for Chris Pal, an h-index of 31, ranking #287,088 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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