Christian Kraetzer
- Signal Processing top 2%
- Biometric Identification and Security 13
- Music and Audio Processing 8
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- Digital Media Forensic Detection 26
- Advanced Steganography and Watermarking Techniques 16
- Face recognition and analysis 11
- Chaos-based Image/Signal Encryption 3
- Artificial Intelligence top 10%
- Internet Traffic Analysis and Secure E-voting 5
- Information Systems top 10%
- Digital and Cyber Forensics 4
- Co-authors
- Jana DittmannAndreas LangTom NeubertAndrey MakrushinMario HildebrandtKun QianClaus VielhauerBart De Decker
- Journals
- SHILAP Revista de lepidopterología (1 paper)Sensors (1 paper)ACM Computing Surveys (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Christian Kraetzer
45 papers receiving 535 citations
Peers
Comparison fields: 5 of 53
- Signal Processing 355
- Computer Vision and Pattern Recognition 473
- Artificial Intelligence 111
- Safety Research 28
- Information Systems 51
Countries citing papers authored by Christian Kraetzer
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).
Fields of papers citing papers by Christian Kraetzer
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.
Co-authorship network
The 25 scholars most cited alongside Christian Kraetzer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 0 | |
| 4 | 2021 | 9 | |
| 5 | 2021 | 0 | |
| 6 | 2021 | 30 | |
| 7 | 2021 | 1 | |
| 8 | 2019 | 1 | |
| 9 | 2019 | 11 | |
| 10 | 2018 | 3 | |
| 11 | A semantic framework for a better understanding, investigation and prevention of organized financial crime. | 2016 | 1 |
| 12 | 2012 | 7 | |
| 13 | 2012 | 1 | |
| 14 | 2012 | 1 | |
| 15 | 2011 | 30 | |
| 16 | 2009 | 0 | |
| 17 | 2009 | 31 | |
| 18 | 2008 | 4 | |
| 19 | 2008 | 5 | |
| 20 | 2007 | 115 |
About Christian Kraetzer
Christian Kraetzer is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 51 papers that have together received 565 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (26 papers), Advanced Steganography and Watermarking Techniques (16 papers), Biometric Identification and Security (13 papers), Face recognition and analysis (11 papers), Music and Audio Processing (8 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Digital and Cyber Forensics (4 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Signal Processing (355 citations), Computer Vision and Pattern Recognition (473 citations) and Artificial Intelligence (111 citations). Christian Kraetzer has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Jana Dittmann, Andreas Lang, Tom Neubert, Andrey Makrushin, Mario Hildebrandt, Kun Qian, Claus Vielhauer, Bart De Decker, Stefan Kiltz and Anna Hilsmann. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and ACM Computing Surveys.
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.