World's Best Scientists 2026 revealed!

Overview

Michael Neumann is affiliated with the University of Connecticut in the United States. Their research spans primarily the field of Engineering, with a notable focus on Biomedical Engineering, Statistical and Nonlinear Physics, Economics and Econometrics, Civil and Structural Engineering, and Gender Studies.

The scholar's work covers a range of scientific topics including Sports Dynamics and Biomechanics, Experimental and Theoretical Physics Studies, Gender, Labor, and Family Dynamics, Fiscal Policy and Economic Growth, Labor Market Dynamics and Wage Inequality, Advanced Mathematical Theories and Applications, and 3D Shape Modeling and Analysis.

Recent papers authored or co-authored by Michael Neumann include:

  • Agile Methods in Higher Education: Adapting and Using eduScrum with Real World Projects, 2021, arXiv (Cornell University)
  • Equilibrium effects of tax exemptions for low pay, 2021, Labour Economics
  • The English Galileo and His Vision of Projectile Motion under Air Resistance, 2020, International Journal of Mathematics and Mathematical Sciences
  • The geoscience profession's response to COVID-19 pandemic - An European Federation of Geologists' overview, 2021, Episodes
  • Approximation of polynomials by Hermite interpolation, 2022, Elemente der Mathematik

Frequent co-authors in their publications consist of Robert Kantrowitz, Luke Haywood, Dorit Borrmann, Andreas Nüchter, and Lars Baumann.

The venues where Michael Neumann has published reflect diverse interdisciplinary engagement and include:

  • Labour Economics
  • International Journal of Mathematics and Mathematical Sciences
  • arXiv (Cornell University)
  • Episodes
  • Elemente der Mathematik

Best Publications

  • Nonnegative matrices in dynamic systems

    Abraham Berman;Michael Neumann;Ronald J. Stern

  • Convergence of parallel multisplitting iterative methods for M-matrices

    M. Neumann;R.J. Plemmons

  • Models of parallel chaotic iteration methods

    Rafael Bru;Ludwig Elsner;Michael Neumann

  • Convergence of sequential and asynchronous nonlinear paracontractions

    L. Elsner;I. Koltracht;M. Neumann

  • Effect of dimensionality on the Nelder–Mead simplex method

    Lixing Han;Michael Neumann

  • On distance matrices and Laplacians

    R. Bapat;S.J. Kirkland;M. Neumann

  • On the convergence of asynchronous paracontractions with application to tomographic reconstruction from incomplete data

    Ludwig Elsner;Israel Koltracht;Michael Neumann

  • Convergent nonnegative matrices and iterative methods for consistent linear systems

    M. Neumann;R. J. Plemmons

  • Characteristic vertices of weighted trees via perron values

    Steve Kirkland;Michael Neumann;Bryan L. Shader

  • Derivatives of the Perron root at an essentially nonnegative matrix and the group inverse of an M-matrix☆

    Emeric Deutsch;Michael Neumann

  • On reduced rank nonnegative matrix factorization for symmetric nonnegative matrices

    M. Catral;Lixing Han;Michael Neumann;R.J. Plemmons

  • On graphs with equal algebraic and vertex connectivity

    Stephen J. Kirkland;Jason J. Molitierno;Michael Neumann;Bryan L. Shader

  • Inverse M-Matrix Inequalities and Generalized Ultrametric Matrices

    J.J. McDonald;M. Neumann;H. Schneider;M.J. Tsatsomeros

  • Convergence of a direct-iterative method for large-scale least-squares problems

    T.L. Markham;M. Neumann;R.J. Plemmons

  • On nonsingular trees and a reciprocal eigenvalue property

    S. Barik;M. Neumann;S. Pati

  • Distances in Weighted Trees and Group Inverse of Laplacian Matrices

    Stephen J. Kirkland;Michael Neumann;Bryan L. Shader

  • Algebraic connectivity of weighted trees under perturbation

    Steve Kirkland;Michael Neumann

  • Proper Splittings of Rectangular Matrices

    Abraham Berman;Michael Neumann

  • Generalizations of the projection methods with application to SOR theory for Hermitian positive semidefinite linear systems

    S. Nelson;M. Neumann

  • A trace inequality for M-matrices and the symmetrizability of a real matrix by a positive diagonal matrix

    Miroslav Fiedler;Miroslav Fiedler;Charles R. Johnson;Thomas L. Markham;Michael Neumann

Frequent Co-Authors

Hans Schneider
Hans Schneider University of Wisconsin–Madison
Robert J. Plemmons
Robert J. Plemmons Wake Forest University
Abraham Berman
Abraham Berman Technion – Israel Institute of Technology
Miroslav Fiedler
Miroslav Fiedler Czech Academy of Sciences
Martin Hanke
Martin Hanke Johannes Gutenberg University of Mainz
Richard S. Varga
Richard S. Varga Kent State University
Charles R. Johnson
Charles R. Johnson William & Mary
Shaun M. Fallat
Shaun M. Fallat University of Regina
Juan Manuel Peña
Juan Manuel Peña University of Zaragoza

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