Siegfried Graf

39 papers and 1.2k indexed citations i.

About

Siegfried Graf is a scholar working on Computer Vision and Pattern Recognition, Mathematical Physics and Geometry and Topology. According to data from OpenAlex, Siegfried Graf has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 14 papers in Mathematical Physics and 11 papers in Geometry and Topology. Recurrent topics in Siegfried Graf’s work include Advanced Data Compression Techniques (14 papers), Mathematical Dynamics and Fractals (10 papers) and Advanced Topology and Set Theory (10 papers). Siegfried Graf is often cited by papers focused on Advanced Data Compression Techniques (14 papers), Mathematical Dynamics and Fractals (10 papers) and Advanced Topology and Set Theory (10 papers). Siegfried Graf collaborates with scholars based in Germany, France and United States. Siegfried Graf's co-authors include Harald Luschgy, Christoph Bandt, R. Daniel Mauldin, Stanley C. Williams, Gilles Pagès, S. C. Williams, Erich Novak, Sylvain Delattre, Anargyros Papageorgiou and Abdel G. Babiker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Lecture notes in mathematics and Journal of Mathematical Analysis and Applications.

In The Last Decade

Co-authorship network of co-authors of Siegfried Graf i

Fields of papers citing papers by Siegfried Graf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Siegfried Graf

Since Specialization
Citations

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).

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.

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