J. J. Swetits
- Numerical Analysis top 5%
- Statistics and Probability top 2%
- Computational Theory and Mathematics top 5%
- Applied Mathematics top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Wu LiPhilip W. SmithCharles A. MicchelliJ. D. WardJ. P. KingFrank DeutschYuesheng XuDarrell Schmidt
- Topics
- Approximation Theory and Sequence Spaces (20 papers)Mathematical Approximation and Integration (14 papers)Mathematical functions and polynomials (13 papers)
- Journals
- SIAM Journal on Scientific ComputingAmerican Mathematical MonthlySIAM Journal on Optimization
- Partner nations
- United StatesHungaryGermany
In The Last Decade
J. J. Swetits
39 papers receiving 389 citations
Peers
Comparison fields: 5 of 53
- Numerical Analysis 226
- Statistics and Probability 161
- Computational Theory and Mathematics 154
- Applied Mathematics 153
- Control and Systems Engineering 85
Countries citing papers authored by J. J. Swetits
This map shows the geographic impact of J. J. Swetits'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 J. J. Swetits with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. J. Swetits more than expected).
Fields of papers citing papers by J. J. Swetits
This network shows the impact of papers produced by J. J. Swetits. 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 J. J. Swetits. The network helps show where J. J. Swetits may publish in the future.
Co-authorship network of co-authors of J. J. Swetits
This figure shows the co-authorship network connecting the top 25 collaborators of J. J. Swetits. A scholar is included among the top collaborators of J. J. Swetits 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 J. J. Swetits. J. J. Swetits 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 | 5 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 15 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 29 | |
| 19 | 2 | |
| 20 | 26 |
About J. J. Swetits
J. J. Swetits is a scholar working on Numerical Analysis, Applied Mathematics and Statistics and Probability, having authored 41 papers that have together received 458 indexed citations. Recurring topics across this work include Approximation Theory and Sequence Spaces (20 papers), Mathematical Approximation and Integration (14 papers) and Mathematical functions and polynomials (13 papers). The work is most often cited by research in Numerical Analysis (226 citations), Statistics and Probability (161 citations) and Applied Mathematics (153 citations). J. J. Swetits has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Wu Li, Philip W. Smith, Charles A. Micchelli, J. D. Ward, J. P. King, Frank Deutsch, Yuesheng Xu, Darrell Schmidt, Manfred Müller and András Kroó. Their work appears in journals such as SIAM Journal on Scientific Computing, American Mathematical Monthly and SIAM Journal on Optimization.
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.