Steven B. Damelin
- Applied Mathematics top 5%
- Numerical Analysis top 5%
- Statistics and Probability top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Willard MillerD. S. LubinskyDonald C. WunschRui‐Hua XuPeter J. GrabnerLeonard H. DamelinJ. J. AlexanderKerry Cawse‐Nicholson
- Topics
- Mathematical functions and polynomials (26 papers)Mathematical Approximation and Integration (14 papers)Approximation Theory and Sequence Spaces (11 papers)
- Partner nations
- United StatesSouth AfricaSouth Korea
In The Last Decade
Steven B. Damelin
52 papers receiving 503 citations
Peers
Comparison fields: 5 of 107
- Applied Mathematics 192
- Numerical Analysis 156
- Statistics and Probability 87
- Artificial Intelligence 80
- Computer Vision and Pattern Recognition 76
Countries citing papers authored by Steven B. Damelin
This map shows the geographic impact of Steven B. Damelin'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 B. Damelin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven B. Damelin more than expected).
Fields of papers citing papers by Steven B. Damelin
This network shows the impact of papers produced by Steven B. Damelin. 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 B. Damelin. The network helps show where Steven B. Damelin may publish in the future.
Co-authorship network of co-authors of Steven B. Damelin
This figure shows the co-authorship network connecting the top 25 collaborators of Steven B. Damelin. A scholar is included among the top collaborators of Steven B. Damelin 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 Steven B. Damelin. Steven B. Damelin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | On Supports of Equilibrium Measures with Concaved Signed Equilibria | 1 |
| 4 | 44 | |
| 5 | 30 | |
| 6 | 6 | |
| 7 | On the Support of the Equilibrium Measure for Arcs of the Unit Circle and for Real Intervals | 7 |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 27 | |
| 12 | 7 | |
| 13 | The Support of the Equilibrium Measure for a Class of Non-Convex External Fields on a Finite Interval | 1 |
| 14 | 5 | |
| 15 | 8 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 15 | |
| 20 | 10 |
About Steven B. Damelin
Steven B. Damelin is a scholar working on Numerical Analysis, Applied Mathematics and Statistics and Probability, having authored 56 papers that have together received 545 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (26 papers), Mathematical Approximation and Integration (14 papers) and Approximation Theory and Sequence Spaces (11 papers). The work is most often cited by research in Numerical Analysis (156 citations), Applied Mathematics (192 citations) and Statistics and Probability (87 citations). Steven B. Damelin has collaborated with scholars based in United States, South Africa and South Korea. Frequent co-authors include Willard Miller, D. S. Lubinsky, Donald C. Wunsch, Rui‐Hua Xu, Peter J. Grabner, Leonard H. Damelin, J. J. Alexander, Kerry Cawse‐Nicholson, K.H. Kwon and Arno B. J. Kuijlaars. Their work appears in journals such as IEEE Transactions on Image Processing, Mathematics of Computation and AIAA Journal.
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.