Marion Neumann

11 papers and 851 indexed citations i.

About

Marion Neumann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Marion Neumann has authored 11 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Marion Neumann’s work include Advanced Graph Neural Networks (5 papers), Graph Theory and Algorithms (3 papers) and Data Management and Algorithms (2 papers). Marion Neumann is often cited by papers focused on Advanced Graph Neural Networks (5 papers), Graph Theory and Algorithms (3 papers) and Data Management and Algorithms (2 papers). Marion Neumann collaborates with scholars based in Germany, United States and Canada. Marion Neumann's co-authors include Zhicheng Cui, Muhan Zhang, Yixin Chen, Kristian Kersting, Christian Bauckhage, Roman Garnett, Christopher Morris, Nils M. Kriege, Petra Mutzel and B. Kleinhenz and has published in prestigious journals such as Machine Learning, Plant Pathology and Autonomous Robots.

In The Last Decade

Co-authorship network of co-authors of Marion Neumann i

Fields of papers citing papers by Marion Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marion Neumann

Since Specialization
Citations

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