World's Best Scientists 2026 revealed!
Alan Edelman

Alan Edelman

D-Index & Metrics

Mathematics

D-Index
46
Citations
20927
World Ranking
1308
National Ranking
582

Alan Edelman publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Alan Edelman sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 141 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Alan Edelman D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Alan Edelman sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 46 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

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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