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Mathematics

D-Index
36
Citations
21131
World Ranking
2562
National Ranking
1059

Research.com Recognitions

  • 2010 - SIAM Fellow For contributions to theory and applications of linear algebra.

Overview

Carl D. Meyer is affiliated with North Carolina State University in the United States. Their work spans several areas in computer science, with a focus on information systems, education, media technology, statistical and nonlinear physics, and artificial intelligence.

The main topics covered in their research include:

  • ICT in Developing Communities
  • Child Development and Digital Technology
  • ICT Impact and Policies
  • Complex Network Analysis Techniques
  • Advanced Clustering Algorithms Research
  • Topological and Geometric Data Analysis
  • Medical Malpractice and Liability Issues

Carl D. Meyer has been published primarily in venues such as:

  • World Development Perspectives
  • AEA Randomized Controlled Trials
  • SSRN Electronic Journal

Recent scholarly papers authored or co-authored by Meyer include:

  • Why Are Fewer Grocery Shoppers Buying Meat? Declining Grocery Sales, Prices, and Cultural Change, 2024, SSRN Electronic Journal
  • Paternalistic Discrimination, 2023, AEA Randomized Controlled Trials
  • Paternalistic Discrimination, 2023, AEA Randomized Controlled Trials
  • World librarians: A socio-technical system providing library search services to offline schools and libraries in Malawi, 2020, World Development Perspectives
  • Erratum to "World librarians: A socio-technical system providing library search services to offline schools and libraries in Malawi" [World Dev. Perspect. (1-9) (2020) 100234], 2021, World Development Perspectives

Their frequent co-authors include:

  • Charles M. Schweik
  • Promise Mchenga
  • Nina Buchmann
  • Colin E. Sullivan
  • Pempho Chinkondenji

Meyer has contributed to book publications with the Society for Industrial and Applied Mathematics. These works include:

  • Matrix Analysis and Applied Linear Algebra, Second Edition - Textbook + Study Guide Set (2025)
  • Matrix Analysis and Applied Linear Algebra, Second Edition (2023)
  • Matrix Analysis and Applied Linear Algebra, Second Edition: Study and Solutions Guide (2023)

Their expertise has been formally recognized through the award of SIAM Fellow in 2010, associated with contributions to theory and applications of linear algebra.

Best Publications

  • Matrix Analysis and Applied Linear Algebra

    Carl D. Meyer

  • Generalized inverses of linear transformations

    Stephen L. Campbell;Carl D. Meyer

  • Google's Pagerank and Beyond

    Amy N. Langville;Carl D. Meyer

  • Google's PageRank and Beyond: The Science of Search Engine Rankings

    Amy N. Langville;Carl D. Meyer

  • Deeper Inside PageRank

    Amy Nicole Langville;Carl Dean Meyer

  • A Survey of Eigenvector Methods for Web Information Retrieval

    Amy N. Langville;Carl D. Meyer

  • A Sparse Approximate Inverse Preconditioner for the Conjugate Gradient Method

    Michele Benzi;Carl D. Meyer;Miroslav Tuma

  • Applications of the Drazin Inverse to Linear Systems of Differential Equations with Singular Constant Coefficients

    Stephen L. Campbell;Carl D. Meyer;Nicholas J. Rose

  • Stochastic complementation, uncoupling Markov chains, and the theory of nearly reducible systems

    C. D. Meyer

  • Who's #1?: The Science of Rating and Ranking

    Amy N. Langville;Carl D. Meyer

  • Comparison of perturbation bounds for the stationary distribution of a Markov chain

    Grace E. Cho;Carl D. Meyer

  • THE IDEA BEHIND KRYLOV METHODS

    Ilse C. F. Ipsen;Carl D. Meyer

  • Algorithms, Initializations, and Convergence for the Nonnegative Matrix Factorization.

    Amy Nicole Langville;Carl Dean Meyer;Russell Albright;James Cox

  • The Index and the Drazin Inverse of Block Triangular Matrices

    Carl D. Meyer;Nicholas J. Rose

  • GMREs and the minimal polynomial

    Stephen L. Campbell;Ilse C. F. Ipsen;Carl Tim Kelley;Carl D. Meyer

  • A Reordering for the PageRank Problem

    Amy N. Langville;Carl D. Meyer

  • Derivatives and perturbations of eigenvectors

    Carl D. Meyer;G. W. Stewart

  • Sensitivity of the Stationary Distribution of a Markov Chain

    Carl D. Meyer

  • Updating Markov Chains with an Eye on Google's PageRank

    Amy N. Langville;Carl D. Meyer

  • Sensitivity of the stationary distribution vector for an ergodic Markov chain

    R.E. Funderlic;C.D. Meyer

Frequent Co-Authors

Stephen L. Campbell
Stephen L. Campbell North Carolina State University
Ilse C. F. Ipsen
Ilse C. F. Ipsen North Carolina State University
Michele Benzi
Michele Benzi Scuola Normale Superiore di Pisa
Carl Tim Kelley
Carl Tim Kelley North Carolina State University
Robert J. Plemmons
Robert J. Plemmons Wake Forest University
Gene H. Golub
Gene H. Golub Stanford University
G. W. Stewart
G. W. Stewart University of Maryland, College Park

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