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Joel A. Tropp

Applied and Computational Mathematics

California Institute of Technology

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About Joel A. Tropp at California Institute of Technology

Joel A. Tropp is a professor at Caltech specializing in randomized algorithms, matrix theory, and high-dimensional data analysis. Tropp has established a strong presence in the field. Their research directions are illustrated by key works including "Fast and Accurate Randomized Algorithms for Linear Systems and Eigenvalue Problems", and "Randomized Nyström Preconditioning".

Research Areas

randomized linear algebramatrix approximationcompressive sensingkernel methodsoptimization algorithmsnumerical analysishigh-dimensional statisticscomputational mathematics
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Academic Impact Matrix

Research output metrics for Joel A. Tropp aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations36,229

Top 5% globally

Publications201

Active researcher

h-index55

Field leader

i10-index115

Broad impact

Lab Environment

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