K. Rohr
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
- Biophysics 21
- Cell Image Analysis Techniques 20
- Spectroscopy Techniques in Biomedical and Chemical Research 4
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- Video Surveillance and Tracking Methods 5
- Advanced Vision and Imaging 5
- Medical Image Segmentation Techniques 4
- Co-authors
- Roland Eils (14 shared papers)Stefan Wörz (10 shared papers)Thomas Wollmann (6 shared papers)William J. Godinez (10 shared papers)Bárbara Müller (6 shared papers)Marko Lampe (5 shared papers)Pascal Cathier (2 shared papers)Holger Erfle (3 shared papers)
- Journals
- Medical Image Analysis (4 papers)IEEE Transactions on Medical Imaging (1 paper)Pattern Recognition (1 paper)Image and Vision Computing (1 paper)Journal of Biomechanics (1 paper)
- Partner nations
- GermanyNetherlandsCanada
In The Last Decade
K. Rohr
38 papers receiving 464 citations
Peers
Comparison fields: 5 of 83
- Biophysics 216
- Media Technology 77
- Computer Vision and Pattern Recognition 156
- Structural Biology 8
- Radiology, Nuclear Medicine and Imaging 66
Countries citing papers authored by K. Rohr
This map shows the geographic impact of K. Rohr'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 K. Rohr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Rohr more than expected).
Fields of papers citing papers by K. Rohr
This network shows the impact of papers produced by K. Rohr. 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 K. Rohr. The network helps show where K. Rohr may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Rohr, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 88 | |
| 2 | 2019 | 55 | |
| 3 | 2004 | 39 | |
| 4 | 2007 | 33 | |
| 5 | 2010 | 20 | |
| 6 | 2020 | 20 | |
| 7 | 2018 | 18 | |
| 8 | 2008 | 16 | |
| 9 | 2008 | 16 | |
| 10 | 2012 | 15 | |
| 11 | 2006 | 15 | |
| 12 | 2007 | 14 | |
| 13 | 2019 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2017 | 12 | |
| 16 | 2018 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2011 | 10 | |
| 19 | 2007 | 8 | |
| 20 | 2020 | 6 |
About K. Rohr
K. Rohr is a scholar working on Biophysics, Computer Vision and Pattern Recognition, Media Technology, Molecular Biology and Artificial Intelligence, having authored 39 papers that have together received 479 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (20 papers), Image Processing Techniques and Applications (11 papers), AI in cancer detection (6 papers), Immunotherapy and Immune Responses (6 papers), Video Surveillance and Tracking Methods (5 papers), Advanced Vision and Imaging (5 papers), Medical Image Segmentation Techniques (4 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (4 papers). The work is most often cited by research in Biophysics (216 citations), Media Technology (77 citations), Computer Vision and Pattern Recognition (156 citations), Structural Biology (8 citations) and Radiology, Nuclear Medicine and Imaging (66 citations). K. Rohr has collaborated with scholars based in Germany, Netherlands and Canada. Frequent co-authors include Roland Eils, Stefan Wörz, Thomas Wollmann, William J. Godinez, Bárbara Müller, Marko Lampe, Pascal Cathier, Holger Erfle, Karsten Rippe and I‐Fang Chung. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, Pattern Recognition, Image and Vision Computing and Journal of Biomechanics.
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.