Christian Kraetzer

29 papers and 209 indexed citations i.

About

Christian Kraetzer is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Christian Kraetzer has authored 29 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 13 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Christian Kraetzer’s work include Digital Media Forensic Detection (15 papers), Advanced Steganography and Watermarking Techniques (10 papers) and Biometric Identification and Security (7 papers). Christian Kraetzer is often cited by papers focused on Digital Media Forensic Detection (15 papers), Advanced Steganography and Watermarking Techniques (10 papers) and Biometric Identification and Security (7 papers). Christian Kraetzer collaborates with scholars based in Germany, Italy and North Macedonia. Christian Kraetzer's co-authors include Jana Dittmann, Tom Neubert, Mario Hildebrandt, Andrey Makrushin, Kun Qian, Claus Vielhauer, Bart De Decker, Andreas Lang, Hyoung Joong Kim and Yun-Qing Shi and has published in prestigious journals such as Sensors, ACM Computing Surveys and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Christian Kraetzer i

Fields of papers citing papers by Christian Kraetzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Christian Kraetzer

Since Specialization
Citations

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