Karl Ricanek

33 papers and 490 indexed citations i.

About

Karl Ricanek is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Karl Ricanek has authored 33 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 16 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Karl Ricanek’s work include Face recognition and analysis (18 papers), Face and Expression Recognition (16 papers) and Biometric Identification and Security (14 papers). Karl Ricanek is often cited by papers focused on Face recognition and analysis (18 papers), Face and Expression Recognition (16 papers) and Biometric Identification and Security (14 papers). Karl Ricanek collaborates with scholars based in United States, China and Hong Kong. Karl Ricanek's co-authors include A. Midori Albert, Eric Patterson, Gayathri Mahalingam, Changyin Sun, Wankou Yang, Wankou Yang, Gerry Dozier, Michael C. King, Nisha Srinivas and Jun Yin and has published in prestigious journals such as Neurocomputing, Applied Soft Computing and Computer.

In The Last Decade

Co-authorship network of co-authors of Karl Ricanek i

Fields of papers citing papers by Karl Ricanek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Karl Ricanek

Since Specialization
Citations

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