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Researcher · California Institute of Technology · United States

Joel A. Tropp

Joel A. Tropp publishes mostly in Computational Theory and Mathematics, Computational Mechanics and Statistics and Probability, on topics such as Sparse and Compressive Sensing Techniques, Matrix Theory and Algorithms and Advanced Optimization Algorithms Research.

ORCID 0000-0003-1024-1791 OpenAlex
World rank
#6,113
of 1,633,909 ranked researchers
Rank in United States
#2,942
of 358,040
Works
57
Citations
2.8k
Citations per work
49.3

What does Joel A. Tropp research?

Computational Theory and Mathematics: 16.5%Computational Mechanics: 15.5%Statistics and Probability: 9.3%Electrical and Electronic Engineering: 8.2%other fields: 50.5%16%top field
Computational Theory and Mathematics16.5%Computational Mechanics15.5%Statistics and Probability9.3%Electrical and Electronic Engineering8.2%other fields50.5%

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

  1. 1Computational Theory and Mathematics16% of their works
  2. 2Computational Mechanics16% of their works
  3. 3Statistics and Probability9% of their works
  4. 4Electrical and Electronic Engineering8% of their works
  5. 5Computer Vision and Pattern Recognition7% of their works
  6. 6Applied Mathematics7% of their works

Research topics

Which keywords describe Joel A. Tropp's research?

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

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 Optimization243 topics
  2. Sparse Representation192 topics
  3. Compressed Sensing151 topic
  4. Signal Recovery151 topic
  5. Matrix Computations101 topic
  6. Numerical Linear Algebra101 topic
  7. Deep Learning82 topics
  8. Optimization Software61 topic
  9. Semidefinite Programming61 topic
  10. Image Denoising51 topic
  11. Sparse Representations51 topic
  12. Blind Separation41 topic
  13. Eigenvalues41 topic
  14. Independent Component Analysis41 topic
  15. Random Matrix Theory41 topic
  16. Breast Cancer Detection31 topic
  17. Microwave Imaging31 topic
  18. Random Projections31 topic
  19. Stochastic Gradient Descent31 topic

Where does Joel A. Tropp work?

Joel A. Tropp's main affiliation in the publication record is California Institute of Technology, United States.

How many publications and citations does Joel A. Tropp have?

Science Explorer counts 57 works and 2,809 citations for Joel A. Tropp, ranking #6,113 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.