Steven D. Taliaferro
- Applied Mathematics top 1%
- Nonlinear Partial Differential Equations 20
- Nonlinear Differential Equations Analysis 13
- Geometric Analysis and Curvature Flows 3
- Numerical Analysis top 5%
- Mathematical Physics top 5%
- Numerical methods in inverse problems 5
- Spectral Theory in Mathematical Physics 3
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- Advanced Mathematical Modeling in Engineering 23
- Modeling and Simulation top 10%
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- Stability and Controllability of Differential Equations 8
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- Nonlinear Dynamics and Pattern Formation 3
- Co-authors
- Marius GherguA. NachmanLei ZhangJ. BuckmasterPeter HagedornAmir Moradifam
- Journals
- Journal of Mathematical Analysis and Applications (2 papers)Physica D Nonlinear Phenomena (1 paper)Transactions of the American Mathematical Society (1 paper)
- Partner nations
- United StatesIrelandCanada
In The Last Decade
Steven D. Taliaferro
36 papers receiving 435 citations
Peers
Comparison fields: 5 of 36
- Applied Mathematics 396
- Numerical Analysis 163
- Mathematical Physics 135
- Computational Theory and Mathematics 222
- Modeling and Simulation 32
Countries citing papers authored by Steven D. Taliaferro
This map shows the geographic impact of Steven D. Taliaferro'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 Steven D. Taliaferro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven D. Taliaferro more than expected).
Fields of papers citing papers by Steven D. Taliaferro
This network shows the impact of papers produced by Steven D. Taliaferro. 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 Steven D. Taliaferro. The network helps show where Steven D. Taliaferro may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Steven D. Taliaferro, 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 | 2015 | 3 | |
| 2 | 2011 | 6 | |
| 3 | 2010 | 3 | |
| 4 | 2009 | 8 | |
| 5 | 2005 | 4 | |
| 6 | 2002 | 6 | |
| 7 | 1999 | 9 | |
| 8 | 1999 | 16 | |
| 9 | 1997 | 1 | |
| 10 | 1993 | 3 | |
| 11 | 1990 | 14 | |
| 12 | 1987 | 2 | |
| 13 | 1984 | 1 | |
| 14 | 1981 | 11 | |
| 15 | 1981 | 11 | |
| 16 | 1980 | 9 | |
| 17 | 1980 | 14 | |
| 18 | 1979 | 14 | |
| 19 | 1978 | 24 | |
| 20 | 1978 | 30 |
About Steven D. Taliaferro
Steven D. Taliaferro is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics, having authored 37 papers that have together received 507 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (23 papers), Nonlinear Partial Differential Equations (20 papers), Nonlinear Differential Equations Analysis (13 papers), Stability and Controllability of Differential Equations (8 papers), Numerical methods in inverse problems (5 papers), Geometric Analysis and Curvature Flows (3 papers), Spectral Theory in Mathematical Physics (3 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). The work is most often cited by research in Applied Mathematics (396 citations), Numerical Analysis (163 citations) and Mathematical Physics (135 citations). Steven D. Taliaferro has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Marius Ghergu, A. Nachman, Lei Zhang, J. Buckmaster, Peter Hagedorn and Amir Moradifam. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Physica D Nonlinear Phenomena and Transactions of the American Mathematical Society.
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.