Science Explorer Interactive view Map
Researcher · Monash University · Australia

Abhinav Dhall

Abhinav Dhall publishes mostly in Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence, on topics such as Emotion and Mood Recognition, Face and Expression Recognition and Face recognition and analysis.

World rank
#24,065
of 1,633,909 ranked researchers
Rank in Australia
#588
of 35,497
Works
59
Citations
497
Citations per work
8.4

What does Abhinav Dhall research?

Computer Vision and Pattern Recognition: 47.2%Experimental and Cognitive Psychology: 17.0%Artificial Intelligence: 5.7%Information Systems: 3.8%other fields: 26.3%47%top field
Computer Vision and Pattern Recognition47.2%Experimental and Cognitive Psychology17.0%Artificial Intelligence5.7%Information Systems3.8%other fields26.3%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Computer Vision and Pattern Recognition47% of their works
  2. 2Experimental and Cognitive Psychology17% of their works
  3. 3Artificial Intelligence6% of their works
  4. 4Information Systems4% of their works
  5. 5Social Psychology4% of their works
  6. 6Industrial and Manufacturing Engineering4% of their works

Research topics

Which keywords describe Abhinav Dhall's research?

The keywords of their largest research topics: Deep Learning, Face Recognition, Emotion Recognition, Multimodal Data, Pose Estimation, Sparse Representation, Convolutional Networks and Generative Adversarial Networks.

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 23 words, with their numbers
  1. Deep Learning267 topics
  2. Face Recognition92 topics
  3. Emotion Recognition81 topic
  4. Multimodal Data81 topic
  5. Pose Estimation82 topics
  6. Sparse Representation82 topics
  7. Convolutional Networks72 topics
  8. Generative Adversarial Networks62 topics
  9. Neural Networks62 topics
  10. Dimensionality Reduction51 topic
  11. Feature Selection51 topic
  12. Action Recognition41 topic
  13. Age Estimation41 topic
  14. Facial Landmark Detection41 topic
  15. Spatiotemporal Features41 topic
  16. Image31 topic
  17. Image Inpainting31 topic
  18. Image Synthesis31 topic
  19. Super-Resolution31 topic
  20. Contrast Enhancement21 topic
  21. Dehazing21 topic
  22. Fabric Defect Detection21 topic
  23. Machine Vision21 topic

Where does Abhinav Dhall work?

Abhinav Dhall's main affiliation in the publication record is Monash University, Australia.

How many publications and citations does Abhinav Dhall have?

Science Explorer counts 59 works and 497 citations for Abhinav Dhall, ranking #24,065 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.