Jack Dongarra
Impact in
- Hardware and Architecture top 0.01%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Computational Mathematics top 0.1%
Papers in
-
- Parallel Computing and Optimization Techniques 546
-
- Distributed and Parallel Computing Systems 345
- Advanced Data Storage Technologies 165
- Interconnection Networks and Systems 95
- Distributed systems and fault tolerance 89
- Co-authors
- Stanimire Tomov (163 shared papers)Sven Hammarling (34 shared papers)Piotr Łuszczek (118 shared papers)David Walker (39 shared papers)R. Clint Whaley (4 shared papers)Antoine Petitet (21 shared papers)James Demmel (25 shared papers)C Moler (7 shared papers)
- Journals
- Parallel Computing (43 papers)The International Journal of High Performance Computing Applications (39 papers)ACM Transactions on Mathematical Software (19 papers)Journal of Computational Science (16 papers)IEEE Transactions on Parallel and Distributed Systems (14 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Jack Dongarra
974 papers receiving 32.4k citations
Jack Dongarra's Hit Papers
Peers
Comparison fields: 5 of 204
- Hardware and Architecture 16.4k
- Computational Mathematics 643
- Computer Networks and Communications 16.2k
- Computational Theory and Mathematics 8.3k
- Numerical Analysis 2.2k
Countries citing papers authored by Jack Dongarra
This map shows the geographic impact of Jack Dongarra's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jack Dongarra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Dongarra more than expected).
Fields of papers citing papers by Jack Dongarra
This network shows the impact of papers produced by Jack Dongarra. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jack Dongarra. The network helps show where Jack Dongarra may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack Dongarra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 1.0k papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods Hit paper breakdown → | 1994 | 2338 |
| 2 | MPI: The Complete Reference Hit paper breakdown → | 1996 | 1260 |
| 3 | LINPACK Users' Guide Hit paper breakdown → | 1979 | 1239 |
| 4 | A set of level 3 basic linear algebra subprograms Hit paper breakdown → | 1990 | 1105 |
| 5 | PVM-Parallel Virtual Machine: AUsers' Guide and Tutorial for Networked Parallel Computing Hit paper breakdown → | 1995 | 878 |
| 6 | Automated empirical optimizations of software and the ATLAS project Hit paper breakdown → | 2001 | 815 |
| 7 | 2014 International Conference on Computational Science Hit paper breakdown → | 2014 | 804 |
| 8 | Templates for the Solution of Algebraic Eigenvalue Problems: A Practical Guide Hit paper breakdown → | 1987 | 739 |
| 9 | PVM Hit paper breakdown → | 1994 | 700 |
| 10 | Matrix Eigensystem Routines — EISPACK Guide Hit paper breakdown → | 1976 | 584 |
| 11 | Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods. Hit paper breakdown → | 1995 | 575 |
| 12 | An extended set of FORTRAN basic linear algebra subprograms Hit paper breakdown → | 1988 | 551 |
| 13 | Automatically Tuned Linear Algebra Software Hit paper breakdown → | 1998 | 538 |
| 14 | Performance of various computers using standard linear equations software Hit paper breakdown → | 1992 | 507 |
| 15 | LINPACK User's Guide. Hit paper breakdown → | 1980 | 499 |
| 16 | The LINPACK Benchmark: past, present and future Hit paper breakdown → | 2003 | 455 |
| 17 | Top500 Supercomputer Sites | 1997 | 422 |
| 18 | 2000 | 414 | |
| 19 | 1977 | 359 | |
| 20 | Towards dense linear algebra for hybrid GPU accelerated manycore systems Hit paper breakdown → | 2009 | 297 |
About Jack Dongarra
Jack Dongarra is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computational Theory and Mathematics, Information Systems and Artificial Intelligence, having authored 1.0k papers that have together received 35.7k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (546 papers), Distributed and Parallel Computing Systems (345 papers), Matrix Theory and Algorithms (222 papers), Advanced Data Storage Technologies (165 papers), Interconnection Networks and Systems (95 papers), Cloud Computing and Resource Management (92 papers), Distributed systems and fault tolerance (89 papers) and Numerical Methods and Algorithms (84 papers). The work is most often cited by research in Hardware and Architecture (16.4k citations), Computational Mathematics (643 citations), Computer Networks and Communications (16.2k citations), Computational Theory and Mathematics (8.3k citations) and Numerical Analysis (2.2k citations). Jack Dongarra has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Stanimire Tomov, Sven Hammarling, Piotr Łuszczek, David Walker, R. Clint Whaley, Antoine Petitet, James Demmel, C Moler, Jeremy Du Croz and Iain Duff. Their work appears in journals such as Parallel Computing, The International Journal of High Performance Computing Applications, ACM Transactions on Mathematical Software, Journal of Computational Science and IEEE Transactions on Parallel and Distributed Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.