D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mathematics D-index 36 Citations 8,155 316 World Ranking 1749 National Ranking 14
Engineering and Technology D-index 41 Citations 9,735 350 World Ranking 3279 National Ranking 24

Research.com Recognitions

Awards & Achievements

2018 - Fellow of the American Association for the Advancement of Science (AAAS)

2013 - Fellow of the American Mathematical Society

2011 - SIAM Fellow For contributions to implicit methods for the solution of partial differential equations and dedicated service to the scientific community.

Overview

What are the main themes of his work throughout his whole career to date

As a part of the same scientific family, David E. Keyes mostly works in the field of Citation, focusing on World Wide Web and, on occasion, Social media. His Programming language studies intersect with other disciplines such as Icon and Computational science. In his work, David E. Keyes performs multidisciplinary research in Computational science and Programming language. David E. Keyes regularly links together related areas like Data science in his Cyberinfrastructure studies. David E. Keyes conducts interdisciplinary study in the fields of Data science and Big data through his research. David E. Keyes integrates several fields in his works, including Big data and Cyberinfrastructure. David E. Keyes conducts interdisciplinary study in the fields of Composition (language) and Literature through his works. Borrowing concepts from Composition (language), he weaves in ideas under Literature. David E. Keyes undertakes interdisciplinary study in the fields of Information retrieval and World Wide Web through his research.

David E. Keyes most often published in these fields:

  • Programming language (40.00%)
  • Cyberinfrastructure (20.00%)
  • Composition (language) (20.00%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Jacobian-free Newton-Krylov methods: a survey of approaches and applications

D. A. Knoll;D. E. Keyes.
Journal of Computational Physics (2004)

2108 Citations

The International Exascale Software Project roadmap

Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts.
ieee international conference on high performance computing data and analytics (2011)

906 Citations

Multiphysics simulations: Challenges and opportunities

David E Keyes;Lois C Mcinnes;Carol Woodward;William Gropp.
ieee international conference on high performance computing data and analytics (2013)

380 Citations

A comparison of domain decomposition techniques for elliptic partial differential equations and their parallel implementation

David E. Keyes;William D. Gropp.
Siam Journal on Scientific and Statistical Computing (1987)

327 Citations

Convergence Analysis of Pseudo-Transient Continuation

C. T. Kelley;David E. Keyes.
SIAM Journal on Numerical Analysis (1998)

306 Citations

Numerical Solution of Two-Dimensional Axisymmetric Laminar Diffusion Flames

M. D. Smooke;R. E. Mitchell;D. E. Keyes.
Combustion Science and Technology (1986)

305 Citations

Nonlinearly Preconditioned Inexact Newton Algorithms

Xiao-Chuan Cai;David E. Keyes.
SIAM Journal on Scientific Computing (2002)

275 Citations

High-performacne parallel implicit CFD

William D. Gropp;Dinesh K. Kaushik;David E. Keyes;Barry F. Smith.
parallel computing (2001)

209 Citations

Parallel Newton--Krylov--Schwarz Algorithms for the Transonic Full Potential Equation

Xiao-Chuan Cai;William D. Gropp;David E. Keyes;Robin G. Melvin.
SIAM Journal on Scientific Computing (1998)

183 Citations

Large-Scale Inverse Problems and Quantification of Uncertainty

Lorenz Biegler;George Biros;Omar Nabih Ghattas;Matthias Heinkenschloss.
(2010)

164 Citations

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Best Scientists Citing David E. Keyes

Jack Dongarra

Jack Dongarra

University of Tennessee at Knoxville

Publications: 56

Mitchell D. Smooke

Mitchell D. Smooke

Yale University

Publications: 49

David W. Zingg

David W. Zingg

University of Toronto

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Enrique S. Quintana-Ortí

Enrique S. Quintana-Ortí

Universitat Politècnica de València

Publications: 26

John N. Shadid

John N. Shadid

Sandia National Laboratories

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Scott Klasky

Scott Klasky

Oak Ridge National Laboratory

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William Gropp

William Gropp

University of Illinois at Urbana-Champaign

Publications: 21

Jeffrey S. Vetter

Jeffrey S. Vetter

Oak Ridge National Laboratory

Publications: 19

Carl Tim Kelley

Carl Tim Kelley

North Carolina State University

Publications: 17

Joaquim R. R. A. Martins

Joaquim R. R. A. Martins

University of Michigan–Ann Arbor

Publications: 17

Barry Smith

Barry Smith

Argonne National Laboratory

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Jan Mandel

Jan Mandel

University of Colorado Denver

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George Biros

George Biros

The University of Texas at Austin

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Manish Parashar

Manish Parashar

University of Utah

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Isabelle Baraffe

Isabelle Baraffe

École Normale Supérieure de Lyon

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Raymond S. Tuminaro

Raymond S. Tuminaro

Sandia National Laboratories

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