Matthias Kirchner
- Computer Vision and Pattern Recognition top 0.5%
- Media Technology top 1%
- Law top 0.5%
- Biophysics top 2%
- Information Systems top 5%
- Co-authors
- Rainer BöhmeJessica FridrichThomas GloeMin-Jeong LeeHeung Kyu LeeAntje WinklerAndré Luíz FischerSujoy Chakraborty
- Topics
- Digital Media Forensic Detection (25 papers)Advanced Steganography and Watermarking Techniques (18 papers)Image Processing Techniques and Applications (9 papers)
- Journals
- Cancer ResearchIEEE Signal Processing MagazineIEEE Transactions on Information Forensics and Security
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Matthias Kirchner
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 1.2k
- Media Technology 402
- Law 238
- Biophysics 185
- Information Systems 117
Countries citing papers authored by Matthias Kirchner
This map shows the geographic impact of Matthias Kirchner'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 Matthias Kirchner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Kirchner more than expected).
Fields of papers citing papers by Matthias Kirchner
This network shows the impact of papers produced by Matthias Kirchner. 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 Matthias Kirchner. The network helps show where Matthias Kirchner may publish in the future.
Co-authorship network of co-authors of Matthias Kirchner
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Kirchner. A scholar is included among the top collaborators of Matthias Kirchner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthias Kirchner. Matthias Kirchner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 46 | |
| 4 | 11 | |
| 5 | 11 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 16 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | 19 | |
| 15 | 51 | |
| 16 | 33 | |
| 17 | 42 | |
| 18 | 193 | |
| 19 | 165 | |
| 20 | 155 |
About Matthias Kirchner
Matthias Kirchner is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Digital Media Forensic Detection (25 papers), Advanced Steganography and Watermarking Techniques (18 papers) and Image Processing Techniques and Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Media Technology (402 citations) and Biophysics (185 citations). Matthias Kirchner has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Rainer Böhme, Jessica Fridrich, Thomas Gloe, Min-Jeong Lee, Heung Kyu Lee, Antje Winkler, André Luíz Fischer, Sujoy Chakraborty, Chang Liu and Bryce P. Portier. Their work appears in journals such as Cancer Research, IEEE Signal Processing Magazine and IEEE Transactions on Information Forensics and Security.
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.