World's Best Scientists 2026 revealed!
Alan Edelman

Alan Edelman

D-Index & Metrics

Mathematics

D-Index
46
Citations
20927
World Ranking
1308
National Ranking
581

Research.com Recognitions

  • 2020 - ACM Fellow For contributions to algorithms and languages for numerical and scientific computing
  • 2018 - IEEE Fellow For contributions to the development of technical-computing languages
  • 2015 - Fellow of the American Mathematical Society For contributions to random matrix theory, numerical linear algebra, high-performance algorithms, and applications.
  • 2011 - SIAM Fellow For contributions to mathematics and industry in the areas of numerical linear algebra, random matrix theory, and parallel computing.
  • 1994 - Fellow of Alfred P. Sloan Foundation

Overview

Alan Edelman is affiliated with MIT in the United States and has contributed extensively to the field of computer science. Their research primarily spans computational theory and mathematics, artificial intelligence, statistical and nonlinear physics, electrical and electronic engineering, and computer networks and communications.

The main research topics covered in their work include matrix theory and algorithms, model reduction and neural networks, advanced optimization algorithms research, inertial sensor and navigation, machine learning in materials science, distributed and parallel computing systems, and advanced topics in algebra.

Frequent venues in which Alan Edelman has published are:

  • arXiv (Cornell University)
  • SIAM Journal on Matrix Analysis and Applications
  • Zenodo (CERN European Organization for Nuclear Research)
  • Linköping electronic conference proceedings
  • JuliaCon Proceedings

Notable recent papers include:

  • "Circuitscape in Julia: High Performance Connectivity Modelling to Support Conservation Decisions" (2020, JuliaCon Proceedings)
  • "Circuitscape in Julia: Empowering Dynamic Approaches to Connectivity Assessment" (2021, Land)
  • "Oceananigans.jl: Fast and friendly geophysical fluid dynamics on GPUs" (2020, The Journal of Open Source Software)
  • "Universal Differential Equations for Scientific Machine Learning" (2020, arXiv (Cornell University))
  • "Uncertainty Quantification of Ocean Parameterizations: Application to the K-Profile-Parameterization for Penetrative Convection" (2020, Journal of Advances in Modeling Earth Systems)

Frequent coauthors in their body of work include:

  • Christopher Rackauckas
  • Viral B. Shah
  • Valentin Churavy
  • Sungwoo Jeong
  • Ranjan Anantharaman

Alan Edelman has received several recognitions, including:

  • ACM Fellow (2020) for contributions to algorithms and languages for numerical and scientific computing
  • IEEE Fellow (2018) for contributions to the development of technical-computing languages
  • Fellow of the American Mathematical Society (2015) for contributions to random matrix theory, numerical linear algebra, high-performance algorithms, and applications
  • SIAM Fellow (2011) for contributions to mathematics and industry in numerical linear algebra, random matrix theory, and parallel computing
  • Fellow of Alfred P. Sloan Foundation (1994)

Best Publications

  • Julia: A Fresh Approach to Numerical Computing

    Jeff Bezanson;Alan Edelman;Stefan Karpinski;Viral B. Shah

  • The Geometry of Algorithms with Orthogonality Constraints

    Alan Edelman;Tomás A. Arias;Steven T. Smith

  • Eigenvalues and condition numbers of random matrices

    Alan Edelman

  • Matrix models for beta ensembles

    Ioana Dumitriu;Alan Edelman

  • Universal Differential Equations for Scientific Machine Learning

    Christopher Rackauckas;Yingbo Ma;Julius Martensen;Collin Warner

  • How many zeros of a random polynomial are real

    Alan Edelman;Eric Kostlan

  • Random matrix theory

    Alan Edelman;N. Raj Rao

  • PetaBricks: a language and compiler for algorithmic choice

    Jason Ansel;Cy Chan;Yee Lok Wong;Marek Olszewski

  • Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples

    R.R. Nadakuditi;A. Edelman

  • Modeling and rendering of weathered stone

    Julie Dorsey;Alan Edelman;Henrik Wann Jensen;Justin Legakis

  • Polynomial roots from companion matrix eigenvalues

    Alan Edelman;H. Murakami

  • The Probability that a Random Real Gaussian Matrix haskReal Eigenvalues, Related Distributions, and the Circular Law

    Alan Edelman

  • The efficient evaluation of the hypergeometric function of a matrix argument

    Plamen Koev;Alan Edelman

  • Mesh generation for implicit geometries

    Per-Olof Persson;Alan Edelman;Gilbert Strang

  • How many eigenvalues of a random matrix are real

    Alan Edelman;Eric Kostlan;Michael Shub

  • Nonnegativity-, monotonicity-, or convexity-preserving cubic and quintic Hermite interpolation

    Randall L. Dougherty;Alan S. Edelman;James M. Hyman

  • A Geometric Approach to Perturbation Theory of Matrices and Matrix Pencils. Part I: Versal Deformations

    Alan Edelman;Erik Elmroth;Bo Kågström

  • Language and compiler support for auto-tuning variable-accuracy algorithms

    Jason Ansel;Yee Lok Wong;Cy Chan;Marek Olszewski

  • From Random Matrices to Stochastic Operators

    Alan Edelman;Brian D. Sutton

  • Circuitscape in Julia: High Performance Connectivity Modelling to Support Conservation Decisions

    Ranjan Anantharaman;Kimberly Hall;Viral B. Shah;Alan Edelman

  • Julia: A Fresh Approach to Numerical Computing

    Stefan Karpinski;Viral B. Shah;Jeffrey Werner Bezanson;Alan Edelman

  • Sample eigenvalue based detection of high dimensional signals in white noise using relatively few samples

    N. Raj Rao;Alan Edelman

Frequent Co-Authors

Charles A. Micchelli
Charles A. Micchelli University at Albany, State University of New York
Avinatan Hassidim
Avinatan Hassidim Bar-Ilan University
Bo Kågström
Bo Kågström Umeå University
Sivan Toledo
Sivan Toledo Tel Aviv University
Erik Elmroth
Erik Elmroth Umeå University
Jill P. Mesirov
Jill P. Mesirov University of California, San Diego

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