J. A. Scott
Impact in
- Computational Mathematics top 2%
- Numerical Analysis top 2%
- Advanced Optimization Algorithms Research
- Numerical methods for differential equations
Papers in
-
- History and Theory of Mathematics 36
- Co-authors
- John ReidNicholas I. M. GouldIain DuffMiroslav TůmaJonathan HoggYifan HuEvgueni OvtchinnikovMilan Mihajlović
- Journals
- ACM Transactions on Mathematical Software (23 papers)SIAM Journal on Scientific Computing (13 papers)Numerical Linear Algebra with Applications (10 papers)International Journal for Numerical Methods in Engineering (9 papers)Computers & Chemical Engineering (3 papers)
- Partner nations
- United KingdomCzechiaUnited States
In The Last Decade
J. A. Scott
102 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 132
- Computational Mathematics 47
- Numerical Analysis 420
- Computational Theory and Mathematics 867
- Theoretical Computer Science 39
- Hardware and Architecture 169
Countries citing papers authored by J. A. Scott
This map shows the geographic impact of J. A. Scott'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 J. A. Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. A. Scott more than expected).
Fields of papers citing papers by J. A. Scott
This network shows the impact of papers produced by J. A. Scott. 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 J. A. Scott. The network helps show where J. A. Scott may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. A. Scott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 12 | |
| 3 | 2021 | 5 | |
| 4 | 2018 | 0 | |
| 5 | Preconditioning of linear least squares by RIF for implicitly held normal equations | 2016 | 2 |
| 6 | Multilevel hybrid spectral element ordering algorithms | 2004 | 0 |
| 7 | 2003 | 3 | |
| 8 | 2003 | 2 | |
| 9 | 2003 | 2 | |
| 10 | 2000 | 1 | |
| 11 | 2000 | 2 | |
| 12 | 1999 | 8 | |
| 13 | 1999 | 1 | |
| 14 | 1998 | 1 | |
| 15 | A Comparison of frontal software with other sparse direct solvers | 1997 | 4 |
| 16 | 1996 | 0 | |
| 17 | 1996 | 2 | |
| 18 | 1996 | 0 | |
| 19 | 1992 | 0 | |
| 20 | 1987 | 1 |
About J. A. Scott
J. A. Scott is a scholar working on Theoretical Computer Science, Computational Mathematics, Numerical Analysis, Geometry and Topology and Computational Theory and Mathematics, having authored 145 papers that have together received 1.8k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (65 papers), Mathematics and Applications (44 papers), History and Theory of Mathematics (36 papers), Advanced Optimization Algorithms Research (34 papers), Electromagnetic Scattering and Analysis (16 papers), Analytic Number Theory Research (13 papers), VLSI and FPGA Design Techniques (13 papers) and Parallel Computing and Optimization Techniques (13 papers). The work is most often cited by research in Computational Mathematics (47 citations), Numerical Analysis (420 citations), Computational Theory and Mathematics (867 citations), Theoretical Computer Science (39 citations) and Hardware and Architecture (169 citations). J. A. Scott has collaborated with scholars based in United Kingdom, Czechia and United States. Frequent co-authors include John Reid, Nicholas I. M. Gould, Iain Duff, Miroslav Tůma, Jonathan Hogg, Yifan Hu, Evgueni Ovtchinnikov, Milan Mihajlović, Jonathan Boyle and Hyunsun A. Kim. Their work appears in journals such as ACM Transactions on Mathematical Software, SIAM Journal on Scientific Computing, Numerical Linear Algebra with Applications, International Journal for Numerical Methods in Engineering and Computers & Chemical Engineering.
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.