Victoria E. Howle
Impact in
- Numerical Analysis top 5%
- Numerical methods for differential equations
- Computational Mechanics top 5%
- Advanced Numerical Methods in Computational Mathematics
- Computational Fluid Dynamics and Aerodynamics
- Lattice Boltzmann Simulation Studies
Papers in
-
- Numerical methods for differential equations 4
-
- Matrix Theory and Algorithms 9
- Numerical Methods and Algorithms 1
- Co-authors
- Howard C. ElmanJohn N. ShadidRay TuminaroRobert ShuttleworthStephen A. VavasisRobert C. KirbyDavid J. SilvesterEugenio Aulisa
- Journals
- SIAM Journal on Scientific Computing (4 papers)Journal of Computational and Applied Mathematics (2 papers)Numerical Linear Algebra with Applications (2 papers)Journal of Computational Physics (2 papers)Antibiotics (1 paper)
- Partner nations
- United StatesCzechiaUnited Kingdom
In The Last Decade
Victoria E. Howle
16 papers receiving 383 citations
Peers
Comparison fields: 5 of 68
- Numerical Analysis 115
- Computational Mechanics 340
- Computational Theory and Mathematics 238
- Computational Mathematics 3
- Atomic and Molecular Physics, and Optics 99
Countries citing papers authored by Victoria E. Howle
This map shows the geographic impact of Victoria E. Howle'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 Victoria E. Howle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victoria E. Howle more than expected).
Fields of papers citing papers by Victoria E. Howle
This network shows the impact of papers produced by Victoria E. Howle. 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 Victoria E. Howle. The network helps show where Victoria E. Howle may publish in the future.
Co-authors
The 16 scholars most cited alongside Victoria E. Howle, 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 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 9 | |
| 4 | 2019 | 2 | |
| 5 | 2018 | 2 | |
| 6 | 2017 | 10 | |
| 7 | QR versus cholesky: A probabilistic analysis | 2016 | 2 |
| 8 | 2013 | 14 | |
| 9 | 2012 | 16 | |
| 10 | 2012 | 7 | |
| 11 | 2007 | 46 | |
| 12 | 2007 | 115 | |
| 13 | 2006 | 121 | |
| 14 | 2005 | 33 | |
| 15 | 2003 | 43 | |
| 16 | 2001 | 5 | |
| 17 | Efficient iterative methods for ill-conditioned linear and nonlinear network problems | 2001 | 1 |
About Victoria E. Howle
Victoria E. Howle is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Applied Microbiology and Biotechnology, Computational Mechanics and Hardware and Architecture, having authored 17 papers that have together received 430 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (9 papers), Matrix Theory and Algorithms (9 papers), Electromagnetic Scattering and Analysis (5 papers), Numerical methods for differential equations (4 papers), Electromagnetic Simulation and Numerical Methods (3 papers), Computational Fluid Dynamics and Aerodynamics (2 papers), Bacterial Identification and Susceptibility Testing (1 paper) and Numerical Methods and Algorithms (1 paper). The work is most often cited by research in Numerical Analysis (115 citations), Computational Mechanics (340 citations), Computational Theory and Mathematics (238 citations), Computational Mathematics (3 citations) and Atomic and Molecular Physics, and Optics (99 citations). Victoria E. Howle has collaborated with scholars based in United States, Czechia and United Kingdom. Frequent co-authors include Howard C. Elman, John N. Shadid, Ray Tuminaro, Robert Shuttleworth, Stephen A. Vavasis, Robert C. Kirby, David J. Silvester, Eugenio Aulisa, Lloyd N. Trefethen and Allie Clinton Smith. Their work appears in journals such as SIAM Journal on Scientific Computing, Journal of Computational and Applied Mathematics, Numerical Linear Algebra with Applications, Journal of Computational Physics and Antibiotics.
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.