World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
16664
World Ranking
9484
National Ranking
4016

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
Alan George
Alan George University of Waterloo
Allen D. Malony
Allen D. Malony University of Oregon
David R. O'Hallaron
David R. O'Hallaron Carnegie Mellon University
Dejan Milojicic
Dejan Milojicic Hewlett-Packard (United States)
Michael Kozuch
Michael Kozuch Intel (United States)
Ali Pinar
Ali Pinar Sandia National Laboratories
Kevin Lai
Kevin Lai Samsara
Weng Cho Chew
Weng Cho Chew Purdue University West Lafayette
Yeng Chai Soh
Yeng Chai Soh Nanyang Technological University

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