A. S. Householder
- Computational Theory and Mathematics top 0.2%
- Numerical Analysis top 0.5%
- Computational Mechanics top 2%
- Applied Mathematics top 1%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Emilie V. HaynsworthL. V. KantorovichV. I. KrylovJohn A. ToddFriedrich L. BauerC. W. SheppardPamela M. MorseDaniel Teichroew
- Topics
- Matrix Theory and Algorithms (24 papers)Advanced Optimization Algorithms Research (10 papers)Iterative Methods for Nonlinear Equations (6 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
A. S. Householder
60 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Computational Theory and Mathematics 1.5k
- Numerical Analysis 993
- Computational Mechanics 454
- Applied Mathematics 426
- Electrical and Electronic Engineering 415
Countries citing papers authored by A. S. Householder
This map shows the geographic impact of A. S. Householder'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 A. S. Householder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. S. Householder more than expected).
Fields of papers citing papers by A. S. Householder
This network shows the impact of papers produced by A. S. Householder. 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 A. S. Householder. The network helps show where A. S. Householder may publish in the future.
Co-authorship network of co-authors of A. S. Householder
This figure shows the co-authorship network connecting the top 25 collaborators of A. S. Householder. A scholar is included among the top collaborators of A. S. Householder 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 A. S. Householder. A. S. Householder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | The numerical treatment of a single nonlinear equationbreakdown → | 382 |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 220 | |
| 10 | 23 | |
| 11 | 27 | |
| 12 | 2 | |
| 13 | 9 | |
| 14 | 56 | |
| 15 | 9 | |
| 16 | 30 | |
| 17 | 121 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 147 |
About A. S. Householder
A. S. Householder is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mathematics, having authored 63 papers that have together received 3.9k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (24 papers), Advanced Optimization Algorithms Research (10 papers) and Iterative Methods for Nonlinear Equations (6 papers). The work is most often cited by research in Numerical Analysis (993 citations), Computational Theory and Mathematics (1.5k citations) and Computational Mathematics (36 citations). A. S. Householder has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Emilie V. Haynsworth, L. V. Kantorovich, V. I. Krylov, John A. Todd, Friedrich L. Bauer, C. W. Sheppard, Pamela M. Morse, Daniel Teichroew, Kenneth R Fox and G. W. Stewart. Their work appears in journals such as Science, Journal of the American Statistical Association and Journal of Applied Physics.
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.