World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
53
Citations
18124
World Ranking
881
National Ranking
423

Engineering and Technology

D-Index
58
Citations
18932
World Ranking
2430
National Ranking
748

Michael J. Todd 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 Michael J. Todd 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: 82 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: 217 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Michael J. Todd 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 Michael J. Todd 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: 137 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: 53 D-Index — 76th percentile

76% 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

  • 2015 - Member of the National Academy of Engineering For contributions to the theory and application of algorithms for continuous optimization.
  • 2009 - SIAM Fellow For advances in interior point methods and semidefinite programming.
  • 2003 - INFORMS John von Neumann Theory Prize
  • 1988 - Dantzig Prize, by the Society for Industrial and Applied Mathematics (SIAM) and the Mathematical Optimization Society (MOS)
  • 1981 - Fellow of Alfred P. Sloan Foundation
  • 1980 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Michael J. Todd is affiliated with Cornell University in the United States. Their research spans multiple fields, prominently mathematics and computer science, with a focus on numerical analysis and computational theory and mathematics.

Their recent publications include:

  • The ellipsoid method redux, 2023, arXiv (Cornell University)
  • An Oblivious Ellipsoid Algorithm for Solving a System of (In)Feasible Linear Inequalities, 2023, Mathematics of Operations Research

Frequent co-authors in their work include:

  • Jourdain Lamperski
  • Robert M. Freund

Michael J. Todd's research covers a variety of topics, including:

  • Advanced Optimization Algorithms Research
  • Polynomial and algebraic computation
  • Complexity and Algorithms in Graphs
  • Iterative Methods for Nonlinear Equations
  • Matrix Theory and Algorithms

Their main fields of study are:

  • Mathematics
  • Computer Science

The subfields of study they contribute to are:

  • Numerical Analysis
  • Computational Theory and Mathematics

Their frequent publication venues are:

  • Mathematics of Operations Research
  • arXiv (Cornell University)

Michael J. Todd has been recognized with several awards throughout their career, including:

  • Member of the National Academy of Engineering (2015) for contributions to the theory and application of algorithms for continuous optimization
  • SIAM Fellow (2009) for advances in interior point methods and semidefinite programming
  • INFORMS John von Neumann Theory Prize (2003)
  • Dantzig Prize by SIAM and the Mathematical Optimization Society (1988)
  • Fellow of Alfred P. Sloan Foundation (1981)
  • Fellow of John Simon Guggenheim Memorial Foundation (1980)

Best Publications

  • SDPT3 — A Matlab software package for semidefinite programming, Version 1.3

    K. C. Toh;M. J. Todd;R. H. Tütüncü

  • Solving semidefinite-quadratic-linear programs using SDPT3

    Reha H. Tütüncü;Kim-Chuan Toh;Michael J. Todd

  • SDPT3 -- A Matlab Software Package for Semidefinite Programming

    K. C. Toh;M. J. Todd;R. H. Tutuncu

  • Self-scaled barriers and interior-point methods for convex programming

    Yu E. Nesterov;M. J. Todd

  • Primal-Dual Interior-Point Methods for Self-Scaled Cones

    Yu. E. Nesterov;M. J. Todd

  • The Computation of Fixed Points and Applications

    Michael J. Todd

  • On Adaptive-Step Primal-Dual Interior-Point Algorithms for Linear Programming

    Shinji Mizuno;Michael J. Todd;Yinyu Ye

  • The Ellipsoid Method: A Survey

    Robert G. Bland;Donald Goldfarb;Michael J. Todd

  • An O(nL) -iteration homogeneous and self-dual linear programming algorithm

    Yinyu Ye;Michael J. Todd;Shinji Mizuno

  • Feature Article—The Ellipsoid Method: A Survey

    Robert G. Bland;Donald Goldfarb;Michael J. Todd

  • On the Nesterov--Todd Direction in Semidefinite Programming

    M. J. Todd;K. C. Toh;R. H. Tütüncü

  • Distance-Weighted Discrimination

    J. S Marron;Michael J Todd;Jeongyoun Ahn

  • The many facets of linear programming

    Michael J. Todd

  • Novel synthetic routes to carbon-nitrogen thin films

    John Kouvetakis;Anil Bandari;Michael Todd;Barry Wilkens

  • Interior-point methods for optimization

    Arkadi S. Nemirovski;Michael J. Todd

  • A centered projective algorithm for linear programming

    Michael J. Todd;Yinyu Ye

  • On Khachiyan's algorithm for the computation of minimum-volume enclosing ellipsoids

    Michael J. Todd;E. Alper Yıldırım

  • Characterization of atrial fibrillation adverse events reported in ibrutinib randomized controlled registration trials

    Jennifer R. Brown;Javid Moslehi;Susan O’Brien;Paolo Ghia

  • An extension of Karmarkar's algorithm for linear programming using dual variables

    Michael J. Todd;Bruce P. Burrell

  • Semidefinite optimization

    Unknown

  • Polynomial Algorithms for Linear Programming

    Michael J. Todd

  • Convex Analysis and Nonlinear Optimization: Theory and Examples. Jonathan M. Borwein and Adrian S. Lewis, Springer, New York, 2000

    Michael J. Todd

Frequent Co-Authors

Marc A. Adams
Marc A. Adams Arizona State University
Howard Tennen
Howard Tennen University of Connecticut
Stephen Armeli
Stephen Armeli Fairleigh Dickinson University
John Kouvetakis
John Kouvetakis Arizona State University
Yinyu Ye
Yinyu Ye Stanford University
Carol B. Cunradi
Carol B. Cunradi Pacific Institute For Research and Evaluation
Kim-Chuan Toh
Kim-Chuan Toh National University of Singapore
Glenn Affleck
Glenn Affleck University of Connecticut Health Center
Barbara E. Ainsworth
Barbara E. Ainsworth Arizona State University
Allan Pinkus
Allan Pinkus Technion – Israel Institute of Technology

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