Stephan Wäldchen

About

Stephan Wäldchen is a scholar working on Materials Chemistry, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Stephan Wäldchen has authored 2 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Materials Chemistry, 1 paper in Biomedical Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Stephan Wäldchen’s work include Machine Learning in Materials Science (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Ultrasound and Hyperthermia Applications (1 paper). Stephan Wäldchen is often cited by papers focused on Machine Learning in Materials Science (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Ultrasound and Hyperthermia Applications (1 paper). Stephan Wäldchen collaborates with scholars based in Germany and Singapore. Stephan Wäldchen's co-authors include Wojciech Samek, Alexander Binder, Grégoire Montavon, Sebastian Lapuschkin, Klaus‐Robert Müller, Jürgen Braun, Ingolf Sack, Stefan Hetzer, Heiko Tzschätzsch and Felix Schrank and has published in prestigious journals such as Nature Communications and Ultrasound in Medicine & Biology.

In The Last Decade

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

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Fields of papers citing papers by Stephan Wäldchen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Stephan Wäldchen

Since Specialization

Citations

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