2026 Jack Dongarra: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	142	57	54	32	30	1587	98413

Research.com Recognitions

2026 - Research.com Computer Science in United States Leader Award
2025 - Research.com Computer Science in United States Leader Award
2023 - Member of the National Academy of Sciences
2023 - Research.com Computer Science in United States Leader Award
2022 - Research.com Computer Science in United States Leader Award
2021 - A. M. Turing Award for pioneering contributions to numerical algorithms and software that have driven decades of extraordinary progress in computing performance and applications
2019 - Fellow of the Royal Society, United Kingdom
2019 - SIAM/ACM Prize in Computational Science and Engineering For his key role in the development of software and software standards, software repositories, performance and benchmarking software, and in community efforts to prepare for the challenges of exascale computing, especially in adapting linear algebra infrastructure to emerging architectures.
2013 - ACM - IEEE CS Ken Kennedy Award For influential contributions to mathematical software, performance measurement, and parallel programming, and significant leadership and service within the HPC community
2009 - SIAM Fellow For contributions to numerical linear algebra, including EISPACK, LINPACK, and LAPACK, and high-performance computing.
2001 - Member of the National Academy of Engineering For contributions to numerical software, parallel and distributed computation, and problem-solving environments.
2001 - ACM Fellow For contributions in the field of scientific computing, the development of mathematical software, parallel methods, and enabling technologies for high-performance computing.
2000 - IEEE Fellow For contributions and leadership in the field of computational mathematics.
1994 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Jack Dongarra is affiliated with the University of Tennessee at Knoxville in the United States. Their research primarily focuses on computer science, with a notable concentration in parallel computing and optimization techniques, scientific computing and data management, and numerical methods and algorithms.

Recent publications by Dongarra include:

A survey of numerical linear algebra methods utilizing mixed-precision arithmetic, 2021, The International Journal of High Performance Computing Applications
Mixed-precision iterative refinement using tensor cores on GPUs to accelerate solution of linear systems, 2020, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
Efficient exascale discretizations: High-order finite element methods, 2021, The International Journal of High Performance Computing Applications
Load-balancing Sparse Matrix Vector Product Kernels on GPUs, 2020, ACM Transactions on Parallel Computing
Numerical algorithms for high-performance computational science, 2020, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences

Dongarra has collaborated frequently with several researchers, including:

Stanimire Tomov
Valeria V. Krzhizhanovskaya
P.M.A. Sloot
Maciej Paszyński
Piotr Łuszczek

Their work has appeared repeatedly in key publication venues such as:

Proceedings of the IEEE
Journal of Computational Science
arXiv (Cornell University)
The International Journal of High Performance Computing Applications
IEEE Transactions on Parallel and Distributed Systems

Jack Dongarra has contributed to book publications primarily with Springer Science+Business Media, including titles like "Computational Science - ICCS" (2020-2022) and "Parallel Processing and Applied Mathematics" (2020 and 2023).

Their main areas of study cover a wide range of subfields within computer science, including:

Computer Networks and Communications
Hardware and Architecture
Computational Theory and Mathematics
Information Systems and Management
Artificial Intelligence

Research topics central to Dongarra's work include:

Parallel Computing and Optimization Techniques
Scientific Computing and Data Management
Distributed and Parallel Computing Systems
Numerical Methods and Algorithms
Matrix Theory and Algorithms
Advanced Data Storage Technologies
Cloud Computing and Resource Management

Over the course of their career, Dongarra has received numerous awards and recognitions, such as:

Fellow of the Royal Society, United Kingdom, 2019
SIAM/ACM Prize in Computational Science and Engineering, 2019, for development of software, standards, and community efforts preparing for exascale computing
ACM - IEEE CS Ken Kennedy Award, 2013, for contributions to mathematical software and parallel programming
SIAM Fellow, 2009, for work in numerical linear algebra and high-performance computing
Member of the National Academy of Engineering, 2001, for contributions to numerical software and parallel computation
ACM Fellow, 2001, recognizing contributions in scientific computing and mathematical software
IEEE Fellow, 2000, for leadership in computational mathematics
Fellow of the American Association for the Advancement of Science (AAAS), 1994

Best Publications

LINPACK Users' Guide

J. J. Dongarra;C. B. Moler;J. R. Bunch;G. W. Stewart

3665
Citations
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing

Al Geist;Adam Beguelin;Jack Dongarra;Weicheng Jiang

2695
Citations
A set of level 3 basic linear algebra subprograms

J. J. Dongarra;Jeremy Du Croz;Sven Hammarling;I. S. Duff

2602
Citations
ScaLAPACK Users' Guide

L. S. Blackford;J. Choi;A. Cleary;E. D'Azevedo

2332
Citations
ScaLAPACK user's guide

L. S. Blackford;J. Choi;A. Cleary;E. D'Azeuedo

2330
Citations
Open MPI: Goals, Concept, and Design of a Next Generation MPI Implementation

Edgar Gabriel;Graham E. Fagg;George Bosilca;Thara Angskun

2252
Citations
MPI: The Complete Reference

Marc Snir;Steve W. Otto;David W. Walker;Jack Dongarra

2250
Citations
Templates for the Solution of Algebraic Eigenvalue Problems: A Practical Guide

James Demmel;Jack Dongarra;Axel Ruhe;Henk van der Vorst

1989
Citations
Automatically Tuned Linear Algebra Software

R. Clint Whaley;Jack J. Dongarra

1508
Citations
The LINPACK Benchmark: past, present and future

Jack J. Dongarra;Piotr Luszczek;Antoine Petitet

1238
Citations
Automated empirical optimizations of software and the ATLAS project

Unknown

1195
Citations
Performance of various computers using standard linear equations software

Jack J. Dongarra

1084
Citations
An Updated Set of Basic Linear Algebra Subprograms (BLAS)

Susan Blackford;James Demmel;Jack Dongarra;Iain Duff

1065
Citations
LINPACK User's Guide.

Virginia Klema;J. J. Dongarra;J. R. Bunch;C. B. Moler

1025
Citations
NetSolve: a network server for solving computational science problems

Henri Casanova;Jack Dongarra

1005
Citations
An extended set of FORTRAN basic linear algebra subprograms

Jack J. Dongarra;Jeremy Du Croz;Sven Hammarling;Richard J. Hanson

1004
Citations
A Portable Programming Interface for Performance Evaluation on Modern Processors

S. Browne;J. Dongarra;N. Garner;G. Ho

983
Citations
The International Exascale Software Project roadmap

Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts

965
Citations
Matrix Eigensystem Routines - EISPACK Guide Extension

Burton S Garbow;James M Boyle;Jack Dongarra;Cleve B Moler

843
Citations
2014 International Conference on Computational Science

D. Abramson;M. Lees;V. Krzhizhanovskaya;J. Dongarra

577
Citations
ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers - Design Issues and Performance

Laura Susan Blackford;J. Choi;A. Cleary;A. Petitet

333
Citations
Self-healing network for scalable fault-tolerant runtime environments

Thara Angskun;Graham Fagg;George Bosilca;Jelena Pješivac-Grbović

23
Citations
An extended set of Fortran Basic Linear Algebra Subprograms: model implementation and test programs

J.J. Dongarra;J. Du Croz;S. Hammarling;R.J. Hanson

20
Citations

Frequent Co-Authors

Stanimire Tomov University of Tennessee at Knoxville

Piotr Luszczek University of Tennessee at Knoxville

George Bosilca University of Tennessee at Knoxville

Jakub Kurzak Advanced Micro Devices (Canada)

Thomas Herault University of Tennessee at Knoxville

Yves Robert École Normale Supérieure de Lyon

Peter M. A. Sloot University of Amsterdam

James Demmel University of California, Berkeley

Henri Casanova University of Hawaii at Manoa

Danny C. Sorensen Rice University

External Links

Wikipedia of Jack Dongarra Personal website of Jack Dongarra Google Scholar page

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