John J. Sember
Impact in
- Statistics and Probability top 0.5%
- Approximation Theory and Sequence Spaces
- Numerical Analysis top 2%
- Mathematical Approximation and Integration
- Iterative Methods for Nonlinear Equations
Papers in
-
- Approximation Theory and Sequence Spaces 10
-
- Matrix Theory and Algorithms 3
- Co-authors
- Allen R. Freedman (3 shared papers)Marc Raphael (2 shared papers)Albert Wilansky (1 shared paper)Grahame Bennett (1 shared paper)
- Journals
- Mathematische Zeitschrift (2 papers)Journal of the London Mathematical Society (1 paper)Pacific Journal of Mathematics (1 paper)Canadian Journal of Mathematics (1 paper)Proceedings of the London Mathematical Society (1 paper)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
John J. Sember
11 papers receiving 511 citations
Peers
Comparison fields: 5 of 28
- Statistics and Probability 579
- Numerical Analysis 348
- Applied Mathematics 335
- Mathematical Physics 144
- Geometry and Topology 90
Countries citing papers authored by John J. Sember
This map shows the geographic impact of John J. Sember'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 John J. Sember with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. Sember more than expected).
Fields of papers citing papers by John J. Sember
This network shows the impact of papers produced by John J. Sember. 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 John J. Sember. The network helps show where John J. Sember may publish in the future.
Co-authors
The 4 scholars most cited alongside John J. Sember, 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 | 1981 | 317 | |
| 2 | 1978 | 253 | |
| 3 | 1981 | 14 | |
| 4 | 1968 | 9 | |
| 5 | 1977 | 9 | |
| 6 | 1971 | 8 | |
| 7 | 1970 | 8 | |
| 8 | 1979 | 6 | |
| 9 | 1970 | 5 | |
| 10 | 1972 | 2 | |
| 11 | 1990 | 1 |
About John J. Sember
John J. Sember is a scholar working on Statistics and Probability, Computational Theory and Mathematics, Mathematical Physics, Applied Mathematics and Algebra and Number Theory, having authored 11 papers that have together received 632 indexed citations. Recurring topics across this work include Approximation Theory and Sequence Spaces (10 papers), Holomorphic and Operator Theory (3 papers), Rings, Modules, and Algebras (3 papers), Matrix Theory and Algorithms (3 papers), Advanced Banach Space Theory (2 papers), Advanced Mathematical Theories (2 papers), Topology Optimization in Engineering (1 paper) and Mathematical Analysis and Transform Methods (1 paper). The work is most often cited by research in Statistics and Probability (579 citations), Numerical Analysis (348 citations), Applied Mathematics (335 citations), Mathematical Physics (144 citations) and Geometry and Topology (90 citations). John J. Sember has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Allen R. Freedman, Marc Raphael, Albert Wilansky and Grahame Bennett. Their work appears in journals such as Mathematische Zeitschrift, Journal of the London Mathematical Society, Pacific Journal of Mathematics, Canadian Journal of Mathematics and Proceedings of the London 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.