Korbinian Frank

14 papers and 159 indexed citations i.

About

Korbinian Frank is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Korbinian Frank has authored 14 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Korbinian Frank’s work include Context-Aware Activity Recognition Systems (8 papers), Bayesian Modeling and Causal Inference (7 papers) and Data Management and Algorithms (4 papers). Korbinian Frank is often cited by papers focused on Context-Aware Activity Recognition Systems (8 papers), Bayesian Modeling and Causal Inference (7 papers) and Data Management and Algorithms (4 papers). Korbinian Frank collaborates with scholars based in Germany, Spain and Ireland. Korbinian Frank's co-authors include Patrick Robertson, Tom Pfeifer, Thomas Strang, Andreas Lehner, Matthias Röckl, Estefania Munoz Diaz, Michael Lichtenstern, Dingqi Yang, Daqing Zhang and Oliver Heirich and has published in prestigious journals such as Personal and Ubiquitous Computing, CiteSeer X (The Pennsylvania State University) and elib (German Aerospace Center).

In The Last Decade

Co-authorship network of co-authors of Korbinian Frank i

Fields of papers citing papers by Korbinian Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Korbinian Frank

Since Specialization
Citations

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