Laura von Rueden

About

Laura von Rueden is a scholar working on Artificial Intelligence, Plant Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Laura von Rueden has authored 4 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Plant Science and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Laura von Rueden’s work include Machine Learning and Algorithms (2 papers), Advanced Neural Network Applications (1 paper) and Neural Networks and Applications (1 paper). Laura von Rueden is often cited by papers focused on Machine Learning and Algorithms (2 papers), Advanced Neural Network Applications (1 paper) and Neural Networks and Applications (1 paper). Laura von Rueden collaborates with scholars based in Germany. Laura von Rueden's co-authors include Christian Bauckhage, Sebastian Mayer, Bogdan Georgiev, Birgit Kirsch, Michał Walczak, Rajkumar Ramamurthy, Katharina Beckh, Sven Giesselbach, Raoul Heese and Jannis Schuecker and has published in prestigious journals such as IEEE Access, IEEE Transactions on Knowledge and Data Engineering and 2022 26th International Conference on Pattern Recognition (ICPR).

In The Last Decade

Co-authorship network of co-authors of Laura von Rueden i

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Fields of papers citing papers by Laura von Rueden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura von Rueden. 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 Laura von Rueden. The network helps show where Laura von Rueden may publish in the future.

Countries citing papers authored by Laura von Rueden

Since Specialization

Citations

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