Karsten Rodenacker
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Equine top 5%
Papers in
-
- AI in cancer detection 9
- Co-authors
- Ewert Bengtsson (1 shared paper)Uta Jütting (24 shared papers)P. Gais (19 shared papers)Michaela Aubele (13 shared papers)G. Bürger (6 shared papers)Klaus Hahn (4 shared papers)Burkhard A. Hense (3 shared papers)Millie Hughes‐Fulford (1 shared paper)
- Journals
- Analytical Cellular Pathology (5 papers)Image Analysis & Stereology (4 papers)Cytometry (3 papers)NeuroImage (3 papers)Pattern Recognition Letters (2 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Karsten Rodenacker
55 papers receiving 823 citations
Peers
Comparison fields: 5 of 127
- Biophysics 151
- Equine 22
- Computer Vision and Pattern Recognition 160
- Radiology, Nuclear Medicine and Imaging 130
- Artificial Intelligence 178
Countries citing papers authored by Karsten Rodenacker
This map shows the geographic impact of Karsten Rodenacker'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 Karsten Rodenacker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karsten Rodenacker more than expected).
Fields of papers citing papers by Karsten Rodenacker
This network shows the impact of papers produced by Karsten Rodenacker. 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 Karsten Rodenacker. The network helps show where Karsten Rodenacker may publish in the future.
Co-authors
The 25 scholars most cited alongside Karsten Rodenacker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 151 | |
| 2 | 2013 | 71 | |
| 3 | 2014 | 41 | |
| 4 | 2006 | 41 | |
| 5 | 2007 | 40 | |
| 6 | 1998 | 38 | |
| 7 | 2006 | 35 | |
| 8 | 1997 | 27 | |
| 9 | Changes in benign cell populations in cases of cervical cancer and its precursors. | 1981 | 26 |
| 10 | 2008 | 24 | |
| 11 | 1997 | 23 | |
| 12 | 2001 | 22 | |
| 13 | 2011 | 22 | |
| 14 | 2000 | 21 | |
| 15 | 2008 | 18 | |
| 16 | 1988 | 18 | |
| 17 | Invariance of textural features in image cytometry under variation of size and pixel magnitude. | 1995 | 15 |
| 18 | Problems concerning the quality of DNA measurements on Feulgen-stained imprints. A study of five fixation techniques. | 1994 | 15 |
| 19 | 2007 | 13 | |
| 20 | 1995 | 13 |
About Karsten Rodenacker
Karsten Rodenacker is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 55 papers that have together received 861 indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Cell Image Analysis Techniques (6 papers), Medical Image Segmentation Techniques (5 papers), Cancer Genomics and Diagnostics (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Antimicrobial agents and applications (3 papers), Nerve injury and regeneration (3 papers) and Digital Image Processing Techniques (3 papers). The work is most often cited by research in Biophysics (151 citations), Equine (22 citations), Computer Vision and Pattern Recognition (160 citations), Radiology, Nuclear Medicine and Imaging (130 citations) and Artificial Intelligence (178 citations). Karsten Rodenacker has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Ewert Bengtsson, Uta Jütting, P. Gais, Michaela Aubele, G. Bürger, Klaus Hahn, Burkhard A. Hense, Millie Hughes‐Fulford, Kaspar Matiasek and B.B. Chaudhuri. Their work appears in journals such as Analytical Cellular Pathology, Image Analysis & Stereology, Cytometry, NeuroImage and Pattern Recognition Letters.
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.