Donald J. Newman
- Applied Mathematics top 1%
- Computational Theory and Mathematics top 1%
- Mathematical Physics top 5%
- Numerical Analysis top 2%
- Geometry and Topology top 2%
- Co-authors
- M. S. KlamkinA.R ReddyAnatole BeckT. J. RivlinLee LorchJ. S. ByrnesI. J. SchoenbergBarbara A. Babcock
- Topics
- Mathematical functions and polynomials (25 papers)Mathematics and Applications (15 papers)Approximation Theory and Sequence Spaces (13 papers)
- Partner nations
- United StatesCanadaHungary
In The Last Decade
Donald J. Newman
142 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 123
- Applied Mathematics 585
- Computational Theory and Mathematics 397
- Mathematical Physics 311
- Numerical Analysis 292
- Geometry and Topology 278
Countries citing papers authored by Donald J. Newman
This map shows the geographic impact of Donald J. Newman'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 Donald J. Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald J. Newman more than expected).
Fields of papers citing papers by Donald J. Newman
This network shows the impact of papers produced by Donald J. Newman. 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 Donald J. Newman. The network helps show where Donald J. Newman may publish in the future.
Co-authorship network of co-authors of Donald J. Newman
This figure shows the co-authorship network connecting the top 25 collaborators of Donald J. Newman. A scholar is included among the top collaborators of Donald J. Newman 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 Donald J. Newman. Donald J. Newman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 13 | |
| 3 | Dialogue on Dialog: Interview with Roger Summit. | 2 |
| 4 | Lectures on approximation and value distribution | 2 |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 24 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 21 | |
| 14 | 21 | |
| 15 | 6 | |
| 16 | 0 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | 22 | |
| 20 | 5 |
About Donald J. Newman
Donald J. Newman is a scholar working on Applied Mathematics, Algebra and Number Theory and Theoretical Computer Science, having authored 160 papers that have together received 2.1k indexed citations. Recurring topics across this work include Mathematical functions and polynomials (25 papers), Mathematics and Applications (15 papers) and Approximation Theory and Sequence Spaces (13 papers). The work is most often cited by research in Applied Mathematics (585 citations), Numerical Analysis (292 citations) and Algebra and Number Theory (200 citations). Donald J. Newman has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include M. S. Klamkin, A.R Reddy, Anatole Beck, T. J. Rivlin, Lee Lorch, J. S. Byrnes, I. J. Schoenberg, Barbara A. Babcock, Leopold Flatto and Alan G. Konheim. Their work appears in journals such as American Sociological Review, IEEE Transactions on Information Theory and Operations Research.
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.