Shayne Waldron
Impact in
- Applied Mathematics top 2%
- Mathematical Analysis and Transform Methods
- Mathematical functions and polynomials
- Numerical Analysis top 5%
- Mathematical Approximation and Integration
Papers in
-
- Mathematical Analysis and Transform Methods 22
- Mathematical functions and polynomials 14
-
- Advanced Numerical Analysis Techniques 23
- Co-authors
- S. Barry Cooper (2 shared papers)Len Bos (7 shared papers)N. Levenberg (3 shared papers)Steven T. Flammia (1 shared paper)Daniel Hughes (2 shared papers)N. Hay (1 shared paper)Robert Reams (1 shared paper)Thomas Bloom (1 shared paper)
- Journals
- Journal of Approximation Theory (9 papers)Linear Algebra and its Applications (8 papers)Constructive Approximation (5 papers)Numerische Mathematik (3 papers)IEEE Transactions on Information Theory (2 papers)
- Partner nations
- New ZealandUnited StatesCanada
In The Last Decade
Shayne Waldron
51 papers receiving 600 citations
Peers
Comparison fields: 5 of 48
- Applied Mathematics 322
- Numerical Analysis 133
- Statistics and Probability 96
- Computational Mechanics 228
- Discrete Mathematics and Combinatorics 27
Countries citing papers authored by Shayne Waldron
This map shows the geographic impact of Shayne Waldron'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 Shayne Waldron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shayne Waldron more than expected).
Fields of papers citing papers by Shayne Waldron
This network shows the impact of papers produced by Shayne Waldron. 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 Shayne Waldron. The network helps show where Shayne Waldron may publish in the future.
Co-authors
The 9 scholars most cited alongside Shayne Waldron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 72 | |
| 2 | 2018 | 56 | |
| 3 | 2003 | 56 | |
| 4 | 2004 | 54 | |
| 5 | 2018 | 36 | |
| 6 | 2009 | 36 | |
| 7 | 1998 | 33 | |
| 8 | 2003 | 23 | |
| 9 | 2009 | 16 | |
| 10 | 2002 | 15 | |
| 11 | 2008 | 14 | |
| 12 | 2008 | 14 | |
| 13 | 2016 | 13 | |
| 14 | 2008 | 11 | |
| 15 | 2002 | 11 | |
| 16 | 2006 | 11 | |
| 17 | 2017 | 10 | |
| 18 | 1998 | 10 | |
| 19 | 2002 | 10 | |
| 20 | 2010 | 9 |
About Shayne Waldron
Shayne Waldron is a scholar working on Applied Mathematics, Computational Mechanics, Numerical Analysis, Signal Processing and Computational Theory and Mathematics, having authored 55 papers that have together received 645 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (23 papers), Mathematical Analysis and Transform Methods (22 papers), Mathematical functions and polynomials (14 papers), Digital Filter Design and Implementation (8 papers), Mathematical Approximation and Integration (7 papers), Approximation Theory and Sequence Spaces (5 papers), Numerical methods in engineering (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Applied Mathematics (322 citations), Numerical Analysis (133 citations), Statistics and Probability (96 citations), Computational Mechanics (228 citations) and Discrete Mathematics and Combinatorics (27 citations). Shayne Waldron has collaborated with scholars based in New Zealand, United States and Canada. Frequent co-authors include S. Barry Cooper, Len Bos, N. Levenberg, Steven T. Flammia, Daniel Hughes, N. Hay, Robert Reams, Thomas Bloom and Stefano De Marchı. Their work appears in journals such as Journal of Approximation Theory, Linear Algebra and its Applications, Constructive Approximation, Numerische Mathematik and IEEE Transactions on Information Theory.
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.