Kai Pöthkow
Impact in
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- Computer Graphics and Visualization Techniques
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- Data Visualization and Analytics
Papers in
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- Computer Graphics and Visualization Techniques 5
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- Advanced Electron Microscopy Techniques and Applications 1
- Co-authors
- Hans‐Christian Hege (9 shared papers)Leonid Goubergrits (2 shared papers)Ulrich Kertzscher (2 shared papers)Jens Schaller (1 shared paper)Ch. Petz (1 shared paper)Andreas Spuler (1 shared paper)Leonardo Agudo Jácome (1 shared paper)
- Journals
- Computer Graphics Forum (3 papers)Ultramicroscopy (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Journal of The Royal Society Interface (1 paper)International Journal for Uncertainty Quantification (1 paper)
- Partner nations
- Germany
In The Last Decade
Kai Pöthkow
9 papers receiving 431 citations
Peers
Comparison fields: 5 of 37
- Computer Graphics and Computer-Aided Design 176
- Computer Vision and Pattern Recognition 233
- Structural Biology 9
- Neurology 50
- Computational Theory and Mathematics 52
Countries citing papers authored by Kai Pöthkow
This map shows the geographic impact of Kai Pöthkow'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 Kai Pöthkow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Pöthkow more than expected).
Fields of papers citing papers by Kai Pöthkow
This network shows the impact of papers produced by Kai Pöthkow. 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 Kai Pöthkow. The network helps show where Kai Pöthkow may publish in the future.
Co-authors
The 7 scholars most cited alongside Kai Pöthkow, 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 | 111 | |
| 2 | 2010 | 109 | |
| 3 | 2013 | 59 | |
| 4 | 2011 | 56 | |
| 5 | 2012 | 43 | |
| 6 | 2016 | 31 | |
| 7 | 2012 | 20 | |
| 8 | 2018 | 11 | |
| 9 | 2012 | 3 |
About Kai Pöthkow
Kai Pöthkow is a scholar working on Computer Graphics and Computer-Aided Design, Structural Biology, Neurology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 443 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (5 papers), Mechanical Circulatory Support Devices (1 paper), Data Visualization and Analytics (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper), Cardiac Valve Diseases and Treatments (1 paper) and Intracranial Aneurysms: Treatment and Complications (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (176 citations), Computer Vision and Pattern Recognition (233 citations), Structural Biology (9 citations), Neurology (50 citations) and Computational Theory and Mathematics (52 citations). Kai Pöthkow has collaborated with scholars based in Germany. Frequent co-authors include Hans‐Christian Hege, Leonid Goubergrits, Ulrich Kertzscher, Jens Schaller, Ch. Petz, Andreas Spuler and Leonardo Agudo Jácome. Their work appears in journals such as Computer Graphics Forum, Ultramicroscopy, IEEE Transactions on Visualization and Computer Graphics, Journal of The Royal Society Interface and International Journal for Uncertainty Quantification.
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.