Stephan Günnemann

83 papers and 1.2k indexed citations i.

About

Stephan Günnemann is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Stephan Günnemann has authored 83 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 23 papers in Statistical and Nonlinear Physics and 20 papers in Signal Processing. Recurrent topics in Stephan Günnemann’s work include Complex Network Analysis Techniques (23 papers), Advanced Graph Neural Networks (19 papers) and Advanced Clustering Algorithms Research (13 papers). Stephan Günnemann is often cited by papers focused on Complex Network Analysis Techniques (23 papers), Advanced Graph Neural Networks (19 papers) and Advanced Clustering Algorithms Research (13 papers). Stephan Günnemann collaborates with scholars based in Germany, United States and Denmark. Stephan Günnemann's co-authors include Aleksandar Bojchevski, Daniel Zügner, Thomas Seidl, Amir Akbarnejad, Johannes Klicpera, Ira Assent, Emmanuel Müller, Markus Disse, Oleksandr Shchur and Christos Faloutsos and has published in prestigious journals such as Scientific Reports, Geophysical Research Letters and Journal of Hydrology.

In The Last Decade

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

Fields of papers citing papers by Stephan Günnemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Stephan Günnemann

Since Specialization
Citations

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