Bernhard Egger

29 papers and 644 indexed citations i.

About

Bernhard Egger is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Bernhard Egger has authored 29 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Mechanics and 3 papers in Artificial Intelligence. Recurrent topics in Bernhard Egger’s work include Face recognition and analysis (15 papers), 3D Shape Modeling and Analysis (10 papers) and Generative Adversarial Networks and Image Synthesis (7 papers). Bernhard Egger is often cited by papers focused on Face recognition and analysis (15 papers), 3D Shape Modeling and Analysis (10 papers) and Generative Adversarial Networks and Image Synthesis (7 papers). Bernhard Egger collaborates with scholars based in Germany, Switzerland and United States. Bernhard Egger's co-authors include Thomas Vetter, Andreas Morel-Forster, Adam Kortylewski, Thomas M. Gerig, Clemens Blumer, Andreas Schneider, William A. P. Smith, Marcel Lüthi, Christian Theobalt and Sandro Schönborn and has published in prestigious journals such as Current Biology, ACM Transactions on Graphics and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Bernhard Egger i

Fields of papers citing papers by Bernhard Egger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bernhard Egger

Since Specialization
Citations

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