Carsten Gottschlich
Impact in
- Signal Processing top 2%
- Biometric Identification and Security
- Safety Research top 5%
- Forensic Fingerprint Detection Methods
Papers in
-
- Biometric Identification and Security 14
-
- Advanced Steganography and Watermarking Techniques 2
- Face recognition and analysis 2
- Co-authors
- Stephan Huckemann (7 shared papers)Carola‐Bibiane Schönlieb (2 shared papers)Dominic Schuhmacher (3 shared papers)Axel Munk (4 shared papers)Emanuela Marasco (1 shared paper)Allen Y. Yang (1 shared paper)Bojan Čukić (1 shared paper)Preda Mihăilescu (2 shared papers)
- Journals
- PLoS ONE (4 papers)IEEE Transactions on Information Forensics and Security (3 papers)Journal of Mathematical Biology (1 paper)IEEE Transactions on Image Processing (1 paper)IEEE Access (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Carsten Gottschlich
20 papers receiving 428 citations
Peers
Comparison fields: 5 of 86
- Signal Processing 291
- Safety Research 129
- Computer Vision and Pattern Recognition 216
- Biophysics 18
- Cell Biology 47
Countries citing papers authored by Carsten Gottschlich
This map shows the geographic impact of Carsten Gottschlich'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 Carsten Gottschlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carsten Gottschlich more than expected).
Fields of papers citing papers by Carsten Gottschlich
This network shows the impact of papers produced by Carsten Gottschlich. 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 Carsten Gottschlich. The network helps show where Carsten Gottschlich may publish in the future.
Co-authors
The 20 scholars most cited alongside Carsten Gottschlich, 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 | 2011 | 90 | |
| 2 | 2014 | 61 | |
| 3 | 2015 | 57 | |
| 4 | 2012 | 41 | |
| 5 | 2009 | 38 | |
| 6 | 2011 | 29 | |
| 7 | 2014 | 27 | |
| 8 | 2016 | 25 | |
| 9 | 2014 | 20 | |
| 10 | 2016 | 16 | |
| 11 | 2016 | 10 | |
| 12 | 2019 | 6 | |
| 13 | 2019 | 5 | |
| 14 | 2016 | 5 | |
| 15 | 2015 | 5 | |
| 16 | 2015 | 3 | |
| 17 | Computation of Optimal Transport Plans and Wasserstein Distances [R package transport version 0.12-2] | 2020 | 3 |
| 18 | Statistical Analyses of Fingerprint Growth. | 2011 | 2 |
| 19 | 2009 | 1 | |
| 20 | 2015 | 1 |
About Carsten Gottschlich
Carsten Gottschlich is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Safety Research, Genetics and Organic Chemistry, having authored 20 papers that have together received 445 indexed citations. Recurring topics across this work include Biometric Identification and Security (14 papers), Forensic Fingerprint Detection Methods (5 papers), Forensic and Genetic Research (3 papers), Wood and Agarwood Research (2 papers), Advanced Steganography and Watermarking Techniques (2 papers), Cellular Mechanics and Interactions (2 papers), Automated Road and Building Extraction (2 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Signal Processing (291 citations), Safety Research (129 citations), Computer Vision and Pattern Recognition (216 citations), Biophysics (18 citations) and Cell Biology (47 citations). Carsten Gottschlich has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Stephan Huckemann, Carola‐Bibiane Schönlieb, Dominic Schuhmacher, Axel Munk, Emanuela Marasco, Allen Y. Yang, Bojan Čukić, Preda Mihăilescu, Florian Rehfeldt and Carina Wollnik. Their work appears in journals such as PLoS ONE, IEEE Transactions on Information Forensics and Security, Journal of Mathematical Biology, IEEE Transactions on Image Processing and IEEE Access.
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.