Iain Smears
Impact in
- Numerical Analysis top 10%
- Differential Equations and Numerical Methods
- Numerical methods for differential equations
- Computational Mechanics top 5%
- Advanced Numerical Methods in Computational Mathematics
- Computational Fluid Dynamics and Aerodynamics
Papers in
-
- Advanced Numerical Methods in Computational Mathematics 11
- Computational Fluid Dynamics and Aerodynamics 2
-
- Advanced Mathematical Modeling in Engineering 8
- Matrix Theory and Algorithms 2
- Co-authors
- Endre Süli (3 shared papers)Martin Vohralı́k (5 shared papers)Alexandre Ern (4 shared papers)Martin Neumüller (1 shared paper)Thirupathi Gudi (1 shared paper)
- Journals
- IMA Journal of Numerical Analysis (4 papers)SIAM Journal on Numerical Analysis (3 papers)Numerische Mathematik (2 papers)Journal of Scientific Computing (1 paper)Computers & Mathematics with Applications (1 paper)
- Partner nations
- United KingdomFranceAustria
In The Last Decade
Iain Smears
14 papers receiving 218 citations
Peers
Comparison fields: 5 of 42
- Numerical Analysis 52
- Computational Mechanics 178
- Computational Theory and Mathematics 122
- Mathematical Physics 28
- Mechanics of Materials 72
Countries citing papers authored by Iain Smears
This map shows the geographic impact of Iain Smears'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 Iain Smears with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iain Smears more than expected).
Fields of papers citing papers by Iain Smears
This network shows the impact of papers produced by Iain Smears. 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 Iain Smears. The network helps show where Iain Smears may publish in the future.
Co-authors
The 5 scholars most cited alongside Iain Smears, 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 | 2014 | 57 | |
| 2 | 2013 | 57 | |
| 3 | 2015 | 21 | |
| 4 | 2018 | 17 | |
| 5 | 2021 | 15 | |
| 6 | 2019 | 15 | |
| 7 | 2017 | 11 | |
| 8 | 2017 | 10 | |
| 9 | 2020 | 8 | |
| 10 | 2024 | 8 | |
| 11 | 2018 | 7 | |
| 12 | 2016 | 7 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 |
About Iain Smears
Iain Smears is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Mechanics of Materials, Numerical Analysis and Finance, having authored 15 papers that have together received 238 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (11 papers), Advanced Mathematical Modeling in Engineering (8 papers), Numerical methods in engineering (5 papers), Stochastic processes and financial applications (3 papers), Differential Equations and Numerical Methods (3 papers), Matrix Theory and Algorithms (2 papers), Computational Fluid Dynamics and Aerodynamics (2 papers) and Numerical methods for differential equations (2 papers). The work is most often cited by research in Numerical Analysis (52 citations), Computational Mechanics (178 citations), Computational Theory and Mathematics (122 citations), Mathematical Physics (28 citations) and Mechanics of Materials (72 citations). Iain Smears has collaborated with scholars based in United Kingdom, France and Austria. Frequent co-authors include Endre Süli, Martin Vohralı́k, Alexandre Ern, Martin Neumüller and Thirupathi Gudi. Their work appears in journals such as IMA Journal of Numerical Analysis, SIAM Journal on Numerical Analysis, Numerische Mathematik, Journal of Scientific Computing and Computers & Mathematics with Applications.
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.