World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
16664
World Ranking
9483
National Ranking
4016

Michael T. Heath publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Michael T. Heath sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 113 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Michael T. Heath D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Michael T. Heath sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 39 D-Index — 33rd percentile

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

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2010 - SIAM Fellow For contributions in computational science and engineering, especially parallel computing.
  • 2000 - ACM Fellow For his research contributions in scientific and parallel computing and for his educational research leadership in computational science and engineering.

Overview

Michael T. Heath is affiliated with the University of Illinois at Urbana-Champaign in the United States.

The scientist's research spans multiple fields, primarily focusing on Medicine and Computer Science. Their work frequently intersects subfields such as Ophthalmology, Epidemiology, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging, and Computational Mechanics.

The main research topics covered include Ophthalmology and Visual Impairment Studies, Corneal Surgery and Disorders, Glaucoma and Retinal Disorders, Advanced Numerical Analysis Techniques, Advanced Statistical Methods and Models, Remote Sensing and LiDAR Applications, as well as Retinal Diseases and Treatments.

Recent publications by Michael T. Heath include:

  • Intraocular Lens Power Calculations in Keratoconus Eyes Comparing Keratometry, Total Keratometry, and Newer Formulae, 2023, American Journal of Ophthalmology
  • Computing minimum-volume enclosing ellipsoids, 2023, Mathematical Programming Computation
  • Characteristics associated with blindness or visual impairment within the adolescent demographic: a national cohort analysis, 2023, Journal of American Association for Pediatric Ophthalmology and Strabismus
  • Exploiting compression in solving discretized linear systems, 2022, ETNA - Electronic Transactions on Numerical Analysis

Frequent co-authors in Heath's research include:

  • Lakshman Mulpuri
  • Eden Kimiagarov
  • Raj P. Patel
  • David A. Murphy
  • Harry Levine

His work has been published in several venues, including:

  • American Journal of Ophthalmology
  • Mathematical Programming Computation
  • Journal of American Association for Pediatric Ophthalmology and Strabismus
  • ETNA - Electronic Transactions on Numerical Analysis

Michael T. Heath has been recognized with notable awards such as the SIAM Fellow in 2010, acknowledging contributions in computational science and engineering, especially parallel computing. Additionally, they were named an ACM Fellow in 2000 for research contributions in scientific and parallel computing and leadership in computational science education.

Best Publications

  • Generalized Cross-Validation as a Method for Choosing a Good Ridge Parameter

    Gene H. Golub;Michael Heath;Grace Wahba

  • Scientific Computing: An Introductory Survey, Revised Second Edition

    Michael T. Heath

  • Scientific Computing: An Introductory Survey

    Michael T. Heath;Eric M. Munson

  • Visualizing the performance of parallel programs

    Michael T. Heath;Jennifer A. Etheridge

  • Computation of system balancing transformations and other applications of simultaneous diagonalization algorithms

    A. Laub;M. Heath;C. Paige;R. Ward

  • Parallel algorithms for sparse linear systems

    Michael T. Heath;Esmond Ng;Barry W. Peyton

  • Parallel Numerical Linear Algebra

    James W. Demmel;Michael T. Heath;Henk A. van der Vorst

  • A user's guide to PICL a portable instrumented communication library

    G.A. Geist;M.T. Heath;B.W. Peyton;P.H. Worley

  • Improving Performance of Sparse Matrix-Vector Multiplication

    Ali Pinar;Michael T. Heath

  • Solution of sparse linear least squares problems using givens rotations

    Alan George;Michael T. Heath

  • Common-refinement-based data transfer between non-matching meshes in multiphysics simulations

    Xiangmin Jiao;Michael T. Heath

  • Parallel solution of triangular systems on distributed-memory multiprocessors

    Michael T. Heath;Charles H. Romine

  • Open Cirrus: A Global Cloud Computing Testbed

    Arutyun I Avetisyan;Roy Campbell;Indranil Gupta;Michael T Heath

  • Sparse Cholesky factorization on a local-memory multiprocessor

    Alan George;Michael T. Heath;Joseph Liu;Esmond Ng

  • Matrix factorization on a hypercube multiprocessor

    G.A. Geist;M.T. Heath

  • A Cartesian parallel nested dissection algorithm

    Michael T. Heath;Padma Raghavan

  • Parallel Cholesky factorization on a shared-memory multiprocessor☆

    Alan George;Michael T. Heath;Joseph Liu

  • Parallel Algorithms for Matrix Computations

    K. Gallivan;C. Romine;R. Plemmons;A. Sameh

  • Computing the singular value decompostion of a product of two matrices

    M T Heath;A J Laub;C C Paige;R C Ward

  • Open Cirrus TM cloud computing testbed: federated data centers for open source systems and services research

    Roy Campbell;Indranil Gupta;Michael Heath;Steven Y. Ko

  • Towards High Performance Digital Volume Correlation

    M. Gates;J. Lambros;M. T. Heath

  • Hypercube multiprocessors 1986

    Michael T. Heath

Frequent Co-Authors

Robert J. Plemmons
Robert J. Plemmons Wake Forest University
Joseph W. H. Liu
Joseph W. H. Liu York University
Alan George
Alan George University of Waterloo
John Lambros
John Lambros University of Illinois at Urbana-Champaign
Gene H. Golub
Gene H. Golub Stanford University
Robert D. Moser
Robert D. Moser The University of Texas at Austin
Alan J. Laub
Alan J. Laub University of California, Santa Barbara
Christopher C. Paige
Christopher C. Paige McGill University
Grace Wahba
Grace Wahba University of Wisconsin–Madison
Yeng Chai Soh
Yeng Chai Soh Nanyang Technological University

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