Thomas Aird
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
- Numerical methods for differential equations
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- Matrix Theory and Algorithms
- Numerical Methods and Algorithms
Papers in
-
- Polynomial and algebraic computation 2
- semigroups and automata theory 2
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- Numerical methods for differential equations 1
- Co-authors
- Virginia Klema (1 shared paper)B. S. Garbow (1 shared paper)Brian T. Smith (1 shared paper)Yasuhiko Ikebe (1 shared paper)John R. Rice (1 shared paper)Robert E. Lynch (1 shared paper)
- Journals
- Semigroup Forum (2 papers)ACM Transactions on Mathematical Software (1 paper)SIAM Journal on Numerical Analysis (1 paper)Mathematics of Computation (1 paper)International Journal of Algebra and Computation (1 paper)
- Partner nations
- United KingdomPortugalUnited States
In The Last Decade
Thomas Aird
8 papers receiving 472 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Numerical Analysis 86
- Computational Theory and Mathematics 157
- Hardware and Architecture 47
- Applied Mathematics 56
- Computational Mechanics 97
Countries citing papers authored by Thomas Aird
This map shows the geographic impact of Thomas Aird'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 Thomas Aird with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Aird more than expected).
Fields of papers citing papers by Thomas Aird
This network shows the impact of papers produced by Thomas Aird. 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 Thomas Aird. The network helps show where Thomas Aird may publish in the future.
Co-authors
The 6 scholars most cited alongside Thomas Aird, 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 | Matrix Eigensystem Routines--EISPACK Guide Hit paper breakdown → | 1976 | 482 |
| 2 | 1977 | 44 | |
| 3 | Computational solution of global nonlinear least-squares problems. | 1973 | 7 |
| 4 | 1975 | 7 | |
| 5 | 2022 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2022 | 1 | |
| 8 | STABILITY THEORY OF MULTISTEP METHODS | 1967 | 1 |
| 9 | 1966 | 0 |
About Thomas Aird
Thomas Aird is a scholar working on Computational Theory and Mathematics, Numerical Analysis, Geometry and Topology, Algebra and Number Theory and Artificial Intelligence, having authored 9 papers that have together received 545 indexed citations. Recurring topics across this work include Polynomial and algebraic computation (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), semigroups and automata theory (2 papers), Algebraic structures and combinatorial models (2 papers), Numerical methods for differential equations (1 paper), Mathematical and Theoretical Analysis (1 paper), Statistical and numerical algorithms (1 paper) and Algebraic Geometry and Number Theory (1 paper). The work is most often cited by research in Numerical Analysis (86 citations), Computational Theory and Mathematics (157 citations), Hardware and Architecture (47 citations), Applied Mathematics (56 citations) and Computational Mechanics (97 citations). Thomas Aird has collaborated with scholars based in United Kingdom, Portugal and United States. Frequent co-authors include Virginia Klema, B. S. Garbow, Brian T. Smith, Yasuhiko Ikebe, John R. Rice and Robert E. Lynch. Their work appears in journals such as Semigroup Forum, ACM Transactions on Mathematical Software, SIAM Journal on Numerical Analysis, Mathematics of Computation and International Journal of Algebra and Computation.
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.