Siegfried Graf
- Mathematical Physics top 1%
- Computer Vision and Pattern Recognition top 5%
- Applied Mathematics top 2%
- Geometry and Topology top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Harald LuschgyChristoph BandtR. Daniel MauldinStanley C. WilliamsGilles PagèsS. C. WilliamsErich NovakAnargyros Papageorgiou
- Topics
- Advanced Data Compression Techniques (12 papers)Advanced Topology and Set Theory (10 papers)Mathematical Dynamics and Fractals (10 papers)
- Journals
- Proceedings of the National Academy of SciencesLecture notes in mathematicsJournal of Mathematical Analysis and Applications
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Siegfried Graf
39 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 78
- Mathematical Physics 577
- Computer Vision and Pattern Recognition 292
- Applied Mathematics 236
- Geometry and Topology 206
- Computational Theory and Mathematics 162
Countries citing papers authored by Siegfried Graf
This map shows the geographic impact of Siegfried Graf'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 Siegfried Graf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siegfried Graf more than expected).
Fields of papers citing papers by Siegfried Graf
This network shows the impact of papers produced by Siegfried Graf. 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 Siegfried Graf. The network helps show where Siegfried Graf may publish in the future.
Co-authorship network of co-authors of Siegfried Graf
This figure shows the co-authorship network connecting the top 25 collaborators of Siegfried Graf. A scholar is included among the top collaborators of Siegfried Graf 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 Siegfried Graf. Siegfried Graf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 19 | |
| 6 | 1 | |
| 7 | 30 | |
| 8 | 17 | |
| 9 | The quantization of probability distributions: Some results and open problems | 1 |
| 10 | 37 | |
| 11 | 19 | |
| 12 | 16 | |
| 13 | 87 | |
| 14 | 14 | |
| 15 | 69 | |
| 16 | 83 | |
| 17 | 26 | |
| 18 | 19 | |
| 19 | 10 | |
| 20 | 47 |
About Siegfried Graf
Siegfried Graf is a scholar working on Mathematical Physics, Geometry and Topology and Applied Mathematics, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (12 papers), Advanced Topology and Set Theory (10 papers) and Mathematical Dynamics and Fractals (10 papers). The work is most often cited by research in Mathematical Physics (577 citations), Geometry and Topology (206 citations) and Applied Mathematics (236 citations). Siegfried Graf has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Harald Luschgy, Christoph Bandt, R. Daniel Mauldin, Stanley C. Williams, Gilles Pagès, S. C. Williams, Erich Novak, Anargyros Papageorgiou, Abdel G. Babiker and Dieter Korn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Lecture notes in mathematics and Journal of Mathematical Analysis and Applications.
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.