World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
46
Citations
7715
World Ranking
1372
National Ranking
610

Overview

Stephen F. McCormick is affiliated with the University of Colorado Boulder in the United States. Their research spans fields in engineering and computer science, focusing on computational mechanics and numerical methods.

The scientist's main fields of study include:

  • Engineering
  • Computer Science

Within these fields, McCormick has contributed to several subfields such as:

  • Computational Mechanics
  • Computational Theory and Mathematics
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Numerical Analysis

Their research covers a range of main topics, including:

  • Advanced Numerical Methods in Computational Mathematics
  • Electromagnetic Simulation and Numerical Methods
  • Numerical Methods and Algorithms
  • Parallel Computing and Optimization Techniques
  • Matrix Theory and Algorithms
  • Numerical methods for differential equations
  • Advanced Numerical Analysis Techniques

McCormick has been published mainly in the following venues:

  • SIAM Journal on Scientific Computing
  • arXiv (Cornell University)
  • Computer Methods in Applied Mechanics and Engineering

Recent papers by McCormick include:

  • Algebraic Error Analysis for Mixed-Precision Multigrid Solvers, 2021, SIAM Journal on Scientific Computing
  • Discretization-Error-Accurate Mixed-Precision Multigrid Solvers, 2021, SIAM Journal on Scientific Computing
  • Multigrid Methods Using Block Floating Point Arithmetic, 2024, SIAM Journal on Scientific Computing
  • Multigrid Methods using Block Floating Point Arithmetic, 2023, arXiv (Cornell University)
  • Nitsche's method for linear Kirchhoff-Love shells: Formulation, error analysis, and verification, 2020, Computer Methods in Applied Mechanics and Engineering

Frequent co-authors collaborating with McCormick are:

  • Rasmus Tamstorf
  • Joseph Benzaken
  • Nils Kohl
  • John A. Evans

Best Publications

  • Multilevel adaptive methods for partial differential equations

    Stephen Fahrney McCormick

  • First-order system least squares for second-order partial differential equations: part I

    Z. Cai;R. Lazarov;T. A. Manteuffel;S. F. McCormick

  • Algebraic Multigrid Based on Element Interpolation (AMGe)

    M. Brezina;A. J. Cleary;R. D. Falgout;V. E. Henson

  • The finite volume element method for diffusion equations on general triangulations

    Zhiqiang Cai;Jan Mandel;Steve McCormick

  • Robustness and Scalability of Algebraic Multigrid

    Andrew J. Cleary;Robert D. Falgout;Van Emden Henson;Jim E. Jones

  • First-Order System Least Squares for the Stokes Equations, with Application to Linear Elasticity

    Z. Cai;T. A. Manteuffel;S. F. McCormick

  • On the accuracy of the finite volume element method for diffusion equations on composite grids

    Zhiqiang Cai;Steve McCormick

  • Adaptive multigrid algorithm for the lattice Wilson-Dirac operator.

    R. Babich;J. Brannick;R. C. Brower;M. A. Clark

  • Adaptive Algebraic Multigrid

    M. Brezina;R. Falgout;S. MacLachlanT. Manteuffel;S. McCormick

  • Control-volume mixed finite element methods

    Z. Cai;J. E. Jones;S. F. McCormick;T. F. Russell

  • Adaptive Smoothed Aggregation ($lpha$SA) Multigrid

    M. Brezina;R. Falgout;S. MacLachlan;T. Manteuffel

  • Multigrid Methods for Differential Eigenproblems

    A. Brandt;S. McCormick;J. Ruge

  • Spectral AMGe ($ ho$AMGe)

    T. Chartier;R. D. Falgout;V. E. Henson;J. Jones

  • Analysis of Velocity-Flux First-Order System Least-Squares Principles for the Navier--Stokes Equations: Part I

    P. Bochev;Z. Cai;T. A. Manteuffel;S. F. McCormick

  • Adaptive Smoothed Aggregation ($lpha$SA)

    M. Brezina;R. Falgout;S. MacLachlan;T. Manteuffel

  • Multigrid Methods for Variational Problems: General Theory for the V-Cycle

    S. F. McCormick

  • LOCAL ERROR ESTIMATES AND ADAPTIVE REFINEMENT FOR FIRST-ORDER SYSTEM LEAST SQUARES (FOSLS)

    Markus Berndt;Thomas A. Manteuffel;Stephen F. McCormick

  • Simultaneous rayleigh-quotient minimization methods for Ax=λBx

    D.E. Longsine;S.F. McCormick

  • Smoothed aggregation multigrid for cloth simulation

    Rasmus Tamstorf;Toby Jones;Stephen F. McCormick

  • Algebraic multigrid for higher-order finite elements

    J. J. Heys;T. A. Manteuffel;S. F. McCormick;L. N. Olson

  • First-Order System Least-Squares for the Helmholtz Equation

    B. Lee;T. A. Manteuffel;S. F. McCormick;J. Ruge

Frequent Co-Authors

Thomas A. Manteuffel
Thomas A. Manteuffel University of Colorado Boulder
Zhiqiang Cai
Zhiqiang Cai Purdue University West Lafayette
Robert D. Falgout
Robert D. Falgout Lawrence Livermore National Laboratory
Pavel B. Bochev
Pavel B. Bochev Sandia National Laboratories
Panayot S. Vassilevski
Panayot S. Vassilevski Lawrence Livermore National Laboratory
Achi Brandt
Achi Brandt Weizmann Institute of Science
Jan Mandel
Jan Mandel University of Colorado Denver
William R. Holland
William R. Holland National Center for Atmospheric Research
Jinchao Xu
Jinchao Xu Pennsylvania State University
Raytcho Lazarov
Raytcho Lazarov Texas A&M University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students pursuing Mathematics in the USA, exploring related online degrees can open new career opportunities. Fields like data science and digital marketing increasingly rely on strong quantitative skills. For example, an ms in digital marketing degree cost tuition fees can be a valuable resource for those interested in marketing analytics and strategy while keeping education affordable.

Professionals looking to enhance leadership and business knowledge might consider specialized programs like the 1 year mba programs. These intensive courses help graduates quickly advance into managerial roles where analytical skills are highly prized.

Additionally, students seeking flexibility should explore options such as the online mba transfer credits pathways, which allow them to leverage previous coursework and accelerate their education.

For those specifically interested in harnessing mathematical skills in data-driven environments, a masters data analytics degree offers practical training to enter the high-demand field of analytics and business intelligence.

Best Scientists Citing Stephen F. McCormick

Trending Scientists

Recently Published Articles