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Kim-Chuan Toh

Kim-Chuan Toh publishes mostly in Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics, on topics such as Advanced Optimization Algorithms Research, Sparse and Compressive Sensing Techniques and Matrix Theory and Algorithms.

World rank
#36,704
of 1,633,909 ranked researchers
Rank in Singapore
#123
of 5,048
Works
75
Citations
826
Citations per work
11.0

What does Kim-Chuan Toh research?

Numerical Analysis: 20.2%Computational Theory and Mathematics: 19.2%Computational Mechanics: 18.3%Artificial Intelligence: 10.6%other fields: 31.7%20%top field
Numerical Analysis20.2%Computational Theory and Mathematics19.2%Computational Mechanics18.3%Artificial Intelligence10.6%other fields31.7%

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

  1. 1Numerical Analysis20% of their works
  2. 2Computational Theory and Mathematics19% of their works
  3. 3Computational Mechanics18% of their works
  4. 4Artificial Intelligence11% of their works
  5. 5Computer Vision and Pattern Recognition6% of their works
  6. 6Control and Systems Engineering4% of their works

Research topics

Which keywords describe Kim-Chuan Toh's research?

The keywords of their largest research topics: Convex Optimization, Optimization Software, Semidefinite Programming, Compressed Sensing, Sparse Representation, Matrix Computations, Numerical Linear Algebra and Deep Learning.

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 19 words, with their numbers
  1. Convex Optimization413 topics
  2. Optimization Software201 topic
  3. Semidefinite Programming201 topic
  4. Compressed Sensing181 topic
  5. Sparse Representation181 topic
  6. Matrix Computations71 topic
  7. Numerical Linear Algebra71 topic
  8. Deep Learning62 topics
  9. Iterative Algorithms61 topic
  10. Neural Networks62 topics
  11. Nonlinear Operators61 topic
  12. Floating-Point Arithmetic41 topic
  13. Interval Analysis41 topic
  14. Active Learning31 topic
  15. Extreme Learning Machine31 topic
  16. Feedforward Networks31 topic
  17. Machine Learning31 topic
  18. Random Projections31 topic
  19. Stochastic Gradient Descent31 topic

Where does Kim-Chuan Toh work?

Kim-Chuan Toh's main affiliation in the publication record is National University of Singapore, Singapore.

How many publications and citations does Kim-Chuan Toh have?

Science Explorer counts 75 works and 826 citations for Kim-Chuan Toh, ranking #36,704 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.