U. Appel

10 papers and 189 indexed citations
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About

U. Appel is a scholar working on Cognitive Neuroscience, Control and Systems Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, U. Appel has authored 10 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 3 papers in Control and Systems Engineering and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in U. Appel’s work include EEG and Brain-Computer Interfaces (4 papers), Advanced Statistical Process Monitoring (3 papers) and Fault Detection and Control Systems (3 papers). U. Appel is often cited by papers focused on EEG and Brain-Computer Interfaces (4 papers), Advanced Statistical Process Monitoring (3 papers) and Fault Detection and Control Systems (3 papers). U. Appel collaborates with scholars based in Germany and Romania. U. Appel's co-authors include W. Wolf, R. Schnell, Reinhard Dengler and G. Staude and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Information Sciences and Signal Processing.

In The Last Decade

Co-authorship network of co-authors of U. Appel

This figure shows the co-authorship network connecting the top 25 collaborators of U. Appel. A scholar is included among the top collaborators of U. Appel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with U. Appel. U. Appel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by U. Appel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by U. Appel

Since Specialization
Citations

This map shows the geographic impact of U. Appel'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 U. Appel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U. Appel 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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2026