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Researcher · Deakin University · Australia

Sunil Gupta

Sunil Gupta publishes mostly in Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research, on topics such as Advanced Multi-Objective Optimization Algorithms, Gaussian Processes and Bayesian Inference and Machine Learning and Data Classification.

World rank
#1,048,023
of 1,633,909 ranked researchers
Rank in Australia
#26,228
of 35,497
Works
50
Citations
89
Citations per work
1.8

What does Sunil Gupta research?

Artificial Intelligence: 36.4%Computational Theory and Mathematics: 19.7%Management Science and Operations Research: 13.6%Computer Vision and Pattern Recognition: 9.1%other fields: 21.2%36%top field
Artificial Intelligence36.4%Computational Theory and Mathematics19.7%Management Science and Operations Research13.6%Computer Vision and Pattern Recognition9.1%other fields21.2%

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

  1. 1Artificial Intelligence36% of their works
  2. 2Computational Theory and Mathematics20% of their works
  3. 3Management Science and Operations Research14% of their works
  4. 4Computer Vision and Pattern Recognition9% of their works
  5. 5Analytical Chemistry3% of their works
  6. 6Materials Chemistry3% of their works

Research topics

Which keywords describe Sunil Gupta's research?

The keywords of their largest research topics: Bayesian Optimization, Deep Learning, Evolutionary Algorithms, Multiobjective Optimization, Gaussian Processes, Machine Learning, Hyperparameter Optimization and Sparse Regression.

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 21 words, with their numbers
  1. Bayesian Optimization182 topics
  2. Deep Learning154 topics
  3. Evolutionary Algorithms131 topic
  4. Multiobjective Optimization131 topic
  5. Gaussian Processes112 topics
  6. Machine Learning112 topics
  7. Hyperparameter Optimization102 topics
  8. Sparse Regression71 topic
  9. Variational Inference71 topic
  10. Bandit Optimization51 topic
  11. Contextual Bandits51 topic
  12. Instance Selection51 topic
  13. Noisy Labels51 topic
  14. Active Learning41 topic
  15. Semi-Supervised Learning41 topic
  16. Experimental Design31 topic
  17. Optimization31 topic
  18. Contrast Enhancement21 topic
  19. Dehazing21 topic
  20. Neural Networks21 topic
  21. Reinforcement Learning21 topic

Where does Sunil Gupta work?

Sunil Gupta's main affiliation in the publication record is Deakin University, Australia.

How many publications and citations does Sunil Gupta have?

Science Explorer counts 50 works and 89 citations for Sunil Gupta, ranking #1,048,023 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.

Other researchers named Sunil Gupta

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