P. L. Butzer
- Applied Mathematics top 0.1%
- Statistics and Probability top 0.2%
- Numerical Analysis top 0.5%
- Mathematical Physics top 1%
- Modeling and Simulation top 0.5%
- Co-authors
- R. L. StensAnatoly A. KilbasJuan J. TrujilloCarlo BardaroGianluca VıntıGerhard SchmeißerHubert BerensIlaria Mantellını
- Topics
- Mathematical functions and polynomials (45 papers)Mathematical Analysis and Transform Methods (41 papers)Approximation Theory and Sequence Spaces (33 papers)
- Partner nations
- GermanyItalyUnited States
In The Last Decade
P. L. Butzer
192 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 93
- Applied Mathematics 2.6k
- Statistics and Probability 1.2k
- Numerical Analysis 1.1k
- Mathematical Physics 802
- Modeling and Simulation 509
Countries citing papers authored by P. L. Butzer
This map shows the geographic impact of P. L. Butzer'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 P. L. Butzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. L. Butzer more than expected).
Fields of papers citing papers by P. L. Butzer
This network shows the impact of papers produced by P. L. Butzer. 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 P. L. Butzer. The network helps show where P. L. Butzer may publish in the future.
Co-authorship network of co-authors of P. L. Butzer
This figure shows the co-authorship network connecting the top 25 collaborators of P. L. Butzer. A scholar is included among the top collaborators of P. L. Butzer 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 P. L. Butzer. P. L. Butzer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 20 | |
| 3 | 31 | |
| 4 | 23 | |
| 5 | 22 | |
| 6 | 34 | |
| 7 | The sampling theorem and its unique role in various branches of mathematics | 9 |
| 8 | 79 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | Dirichlet and his Role in the Founding of Mathematical Physics | 7 |
| 12 | On o-rates of closeness of two weighted random sums of dependent Banach-valued random variables | 2 |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 63 | |
| 16 | 12 | |
| 17 | 3 | |
| 18 | Linear operators and approximation = Lineare Operatoren und Approximation : proceedings of the Conference held at the Oberwolfach Mathematical Research Institute, Black Forest, August 14-22, 1971 | 1 |
| 19 | One-dimensional theory | 19 |
| 20 | 15 |
About P. L. Butzer
P. L. Butzer is a scholar working on Applied Mathematics, Mathematical Physics and Numerical Analysis, having authored 202 papers that have together received 3.8k indexed citations. Recurring topics across this work include Mathematical functions and polynomials (45 papers), Mathematical Analysis and Transform Methods (41 papers) and Approximation Theory and Sequence Spaces (33 papers). The work is most often cited by research in Applied Mathematics (2.6k citations), Numerical Analysis (1.1k citations) and Statistics and Probability (1.2k citations). P. L. Butzer has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include R. L. Stens, Anatoly A. Kilbas, Juan J. Trujillo, Carlo Bardaro, Gianluca Vıntı, Gerhard Schmeißer, Hubert Berens, Ilaria Mantellını, R. J. Nessel and K. Scherer. Their work appears in journals such as Physics Today, IEEE Transactions on Information Theory 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.