Stephan Seufert

4 papers and 126 indexed citations i.

About

Stephan Seufert is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Stephan Seufert has authored 4 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Stephan Seufert’s work include Graph Theory and Algorithms (2 papers), Advanced Graph Neural Networks (1 paper) and Data Visualization and Analytics (1 paper). Stephan Seufert is often cited by papers focused on Graph Theory and Algorithms (2 papers), Advanced Graph Neural Networks (1 paper) and Data Visualization and Analytics (1 paper). Stephan Seufert collaborates with scholars based in Germany and India. Stephan Seufert's co-authors include Srikanta Bedathur, Gerhard Weikum, Avishek Anand, Sebastian Schelter, Felix Bießmann, Tim Januschowski, David Salinas, Dustin Lange, Julián Mestre and Phillipp Schmidt and has published in prestigious journals such as MPG.PuRe (Max Planck Society), Proceedings of the 2022 International Conference on Management of Data and IEEE Data(base) Engineering Bulletin.

In The Last Decade

Co-authorship network of co-authors of Stephan Seufert i

Fields of papers citing papers by Stephan Seufert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephan Seufert. 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 Stephan Seufert. The network helps show where Stephan Seufert may publish in the future.

Countries citing papers authored by Stephan Seufert

Since Specialization
Citations

This map shows the geographic impact of Stephan Seufert'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 Stephan Seufert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Seufert 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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2025