I. J. Schoenberg
- Applied Mathematics top 0.2%
- Numerical Analysis top 0.5%
- Statistics and Probability top 0.2%
- Computational Mechanics top 0.5%
- Computational Theory and Mathematics top 1%
- Co-authors
- T. S. MotzkinH. B. CurryAnne M. WhitneyGeorg PólyaA. SharmaSamuel KarlinAllan PinkusCharles A. Micchelli
- Topics
- Advanced Numerical Analysis Techniques (32 papers)Iterative Methods for Nonlinear Equations (21 papers)Mathematics and Applications (13 papers)
- Journals
- Proceedings of the National Academy of SciencesAnnals of the New York Academy of SciencesMathematics of Computation
- Partner nations
- United StatesCanadaGermany
In The Last Decade
I. J. Schoenberg
100 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Applied Mathematics 1.4k
- Numerical Analysis 1.3k
- Statistics and Probability 1.2k
- Computational Mechanics 1.2k
- Computational Theory and Mathematics 584
Countries citing papers authored by I. J. Schoenberg
This map shows the geographic impact of I. J. Schoenberg'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 I. J. Schoenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. J. Schoenberg more than expected).
Fields of papers citing papers by I. J. Schoenberg
This network shows the impact of papers produced by I. J. Schoenberg. 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 I. J. Schoenberg. The network helps show where I. J. Schoenberg may publish in the future.
Co-authorship network of co-authors of I. J. Schoenberg
This figure shows the co-authorship network connecting the top 25 collaborators of I. J. Schoenberg. A scholar is included among the top collaborators of I. J. Schoenberg 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 I. J. Schoenberg. I. J. Schoenberg 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 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 28 | |
| 7 | 9 | |
| 8 | 10 | |
| 9 | 37 | |
| 10 | 26 | |
| 11 | 19 | |
| 12 | 47 | |
| 13 | 14 | |
| 14 | Approximations with special emphasis on spline functions : proceedings of a symposium conducted by the Mathematics Research Center, United States Army, at the University of Wisconsin, Madison, May 5-7, 1969 | 1 |
| 15 | 207 | |
| 16 | 38 | |
| 17 | 22 | |
| 18 | 45 | |
| 19 | 12 | |
| 20 | 2 |
About I. J. Schoenberg
I. J. Schoenberg is a scholar working on Numerical Analysis, Applied Mathematics and Geometry and Topology, having authored 115 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (32 papers), Iterative Methods for Nonlinear Equations (21 papers) and Mathematics and Applications (13 papers). The work is most often cited by research in Numerical Analysis (1.3k citations), Statistics and Probability (1.2k citations) and Applied Mathematics (1.4k citations). I. J. Schoenberg has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include T. S. Motzkin, H. B. Curry, Anne M. Whitney, Georg Pólya, A. Sharma, Samuel Karlin, Allan Pinkus, Charles A. Micchelli, Larry L. Schumaker and Donald J. Newman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Annals of the New York Academy of Sciences and Mathematics of Computation.
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.