Markus Maier

4 papers and 160 indexed citations i.

About

Markus Maier is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Markus Maier has authored 4 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Statistical and Nonlinear Physics and 2 papers in Signal Processing. Recurrent topics in Markus Maier’s work include Graph theory and applications (2 papers), Complex Network Analysis Techniques (2 papers) and Advanced Clustering Algorithms Research (2 papers). Markus Maier is often cited by papers focused on Graph theory and applications (2 papers), Complex Network Analysis Techniques (2 papers) and Advanced Clustering Algorithms Research (2 papers). Markus Maier collaborates with scholars based in Germany. Markus Maier's co-authors include Matthias Hein and Ulrike von Luxburg and has published in prestigious journals such as Theoretical Computer Science, ESAIM Probability and Statistics and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Markus Maier i

Fields of papers citing papers by Markus Maier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Markus Maier

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025