G. W. Stewart
- Computational Theory and Mathematics top 0.02%
- Numerical Analysis top 0.1%
- Computational Mechanics top 0.5%
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 0.5%
- Co-authors
- C MolerJack DongarraJames R. BunchDianne P. O’LearyVirginia KlemaJ. H. WilkinsonAlan ClineIain Duff
- Topics
- Matrix Theory and Algorithms (91 papers)Advanced Optimization Algorithms Research (31 papers)Statistical and numerical algorithms (19 papers)
- Journals
- Journal of the American Statistical AssociationJournal of Computational PhysicsCommunications of the ACM
- Partner nations
- United StatesItalyCanada
In The Last Decade
G. W. Stewart
147 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Computational Theory and Mathematics 4.8k
- Numerical Analysis 2.5k
- Computational Mechanics 1.9k
- Electrical and Electronic Engineering 1.4k
- Control and Systems Engineering 1.4k
Countries citing papers authored by G. W. Stewart
This map shows the geographic impact of G. W. Stewart'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 G. W. Stewart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. W. Stewart more than expected).
Fields of papers citing papers by G. W. Stewart
This network shows the impact of papers produced by G. W. Stewart. 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 G. W. Stewart. The network helps show where G. W. Stewart may publish in the future.
Co-authorship network of co-authors of G. W. Stewart
This figure shows the co-authorship network connecting the top 25 collaborators of G. W. Stewart. A scholar is included among the top collaborators of G. W. Stewart based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. W. Stewart. G. W. Stewart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | The Gram-Schmidt Algorithm and Its Variations | 1 |
| 3 | 12 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | 14 | |
| 7 | 24 | |
| 8 | Theory of the combination of observations least subject to error : part one, part two, supplement = Theoria combinationis observationum erroribus minimus obnoxiae : pars prior, pars posterior, supplementum | 11 |
| 9 | 16 | |
| 10 | 47 | |
| 11 | 9 | |
| 12 | 96 | |
| 13 | 140 | |
| 14 | 1 | |
| 15 | 19 | |
| 16 | 11 | |
| 17 | 82 | |
| 18 | 41 | |
| 19 | 12 | |
| 20 | 3 |
About G. W. Stewart
G. W. Stewart is a scholar working on Computational Mathematics, Numerical Analysis and Computational Theory and Mathematics, having authored 152 papers that have together received 11.5k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (91 papers), Advanced Optimization Algorithms Research (31 papers) and Statistical and numerical algorithms (19 papers). The work is most often cited by research in Computational Mathematics (297 citations), Numerical Analysis (2.5k citations) and Computational Theory and Mathematics (4.8k citations). G. W. Stewart has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include C Moler, Jack Dongarra, James R. Bunch, Dianne P. O’Leary, Virginia Klema, J. H. Wilkinson, Alan Cline, Iain Duff, Alan J. Hoffman and Gene H. Golub. Their work appears in journals such as Journal of the American Statistical Association, Journal of Computational Physics and Communications of the ACM.
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.