H. Sue Dollar
- Computational Theory and Mathematics top 2%
- Computational Mechanics top 5%
- Numerical Analysis top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Mathematical Physics
- Co-authors
- Andrew J. WathenTyrone ReesAndy WathenNicholas I. M. GouldW.H.A. SchildersMartin StollJ. A. ScottPatrick Amestoy
- Topics
- Matrix Theory and Algorithms (11 papers)Advanced Optimization Algorithms Research (7 papers)Electromagnetic Scattering and Analysis (4 papers)
- Journals
- SIAM Journal on Scientific ComputingSIAM Journal on Matrix Analysis and ApplicationsComputational Optimization and Applications
- Partner nations
- United KingdomFinlandNetherlands
In The Last Decade
H. Sue Dollar
13 papers receiving 337 citations
Peers
Comparison fields: 5 of 34
- Computational Theory and Mathematics 337
- Computational Mechanics 230
- Numerical Analysis 190
- Atomic and Molecular Physics, and Optics 175
- Mathematical Physics 21
Countries citing papers authored by H. Sue Dollar
This map shows the geographic impact of H. Sue Dollar'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 H. Sue Dollar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Sue Dollar more than expected).
Fields of papers citing papers by H. Sue Dollar
This network shows the impact of papers produced by H. Sue Dollar. 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 H. Sue Dollar. The network helps show where H. Sue Dollar may publish in the future.
Co-authorship network of co-authors of H. Sue Dollar
This figure shows the co-authorship network connecting the top 25 collaborators of H. Sue Dollar. A scholar is included among the top collaborators of H. Sue Dollar 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 H. Sue Dollar. H. Sue Dollar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 151 | |
| 3 | 2 | |
| 4 | On Taylor series approximations for trust-region and regularized subproblems in optimization | 1 |
| 5 | A Bramble-Pasciak-like method with applications in optimization | 2 |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 22 | |
| 9 | 60 | |
| 10 | 47 | |
| 11 | 54 | |
| 12 | On iterative methods and implicit-factorization preconditioners for regularized saddle-point systems | 4 |
| 13 | Incomplete factorization constraint preconditioners for saddle-point matrices | 6 |
About H. Sue Dollar
H. Sue Dollar is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics, having authored 13 papers that have together received 383 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (11 papers), Advanced Optimization Algorithms Research (7 papers) and Electromagnetic Scattering and Analysis (4 papers). The work is most often cited by research in Numerical Analysis (190 citations), Computational Theory and Mathematics (337 citations) and Computational Mechanics (230 citations). H. Sue Dollar has collaborated with scholars based in United Kingdom, Finland and Netherlands. Frequent co-authors include Andrew J. Wathen, Tyrone Rees, Andy Wathen, Nicholas I. M. Gould, W.H.A. Schilders, Martin Stoll, J. A. Scott, Patrick Amestoy and John Reid. Their work appears in journals such as SIAM Journal on Scientific Computing, SIAM Journal on Matrix Analysis and Applications and Computational Optimization and 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.