Björn Barz

10 papers and 196 indexed citations i.

About

Björn Barz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Björn Barz has authored 10 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Björn Barz’s work include Domain Adaptation and Few-Shot Learning (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Machine Learning and Data Classification (4 papers). Björn Barz is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Machine Learning and Data Classification (4 papers). Björn Barz collaborates with scholars based in Germany and Italy. Björn Barz's co-authors include Joachim Denzler, Erik Rodner, Luca Iocchi, Christoph Käding, Alexander Freytag, Markus Reichstein, Milan Flach, Miguel D. Mahecha, Paul Bodesheim and Clemens-Alexander Brust and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Journal of Imaging.

In The Last Decade

Co-authorship network of co-authors of Björn Barz i

Fields of papers citing papers by Björn Barz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Björn Barz

Since Specialization
Citations

This map shows the geographic impact of Björn Barz'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 Björn Barz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Björn Barz 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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2025