Simon Wiedemann

About

Simon Wiedemann is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Simon Wiedemann has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 3 papers in Control and Systems Engineering. Recurrent topics in Simon Wiedemann’s work include Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Sparse and Compressive Sensing Techniques (2 papers). Simon Wiedemann is often cited by papers focused on Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Sparse and Compressive Sensing Techniques (2 papers). Simon Wiedemann collaborates with scholars based in Germany, South Korea and United Kingdom. Simon Wiedemann's co-authors include Wojciech Samek, Klaus‐Robert Müller, Felix Sattler, Oskar Wallrapp, Philipp Seegerer, Seul-Ki Yeom, Alexander Binder, Kai Furmans, Sebastian Lapuschkin and Arturo Marbán and has published in prestigious journals such as Nature Communications, Journal of Sound and Vibration and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Simon Wiedemann i

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Fields of papers citing papers by Simon Wiedemann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Simon Wiedemann

Since Specialization

Citations

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