David Günther
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
- Biophysics top 5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Topological and Geometric Data Analysis 8
-
- Advanced Vision and Imaging 2
- Co-authors
- Tino Weinkauf (5 shared papers)Jan Reininghaus (5 shared papers)Britta Weber (2 shared papers)Hans‐Christian Hege (3 shared papers)Wolfgang Baumeister (1 shared paper)Steffen Prohaska (1 shared paper)R. Hegerl (1 shared paper)Daniel Baum (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (4 papers)Computer Graphics Forum (2 papers)Journal of Structural Biology (1 paper)Physica D Nonlinear Phenomena (1 paper)Agronomy (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
David Günther
16 papers receiving 431 citations
Peers
Comparison fields: 5 of 101
- Structural Biology 67
- Biophysics 101
- Computer Graphics and Computer-Aided Design 48
- Computational Theory and Mathematics 159
- Computer Vision and Pattern Recognition 144
Countries citing papers authored by David Günther
This map shows the geographic impact of David Günther'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 David Günther with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Günther more than expected).
Fields of papers citing papers by David Günther
This network shows the impact of papers produced by David Günther. 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 David Günther. The network helps show where David Günther may publish in the future.
Co-authors
The 25 scholars most cited alongside David Günther, 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 | 158 | |
| 2 | 2009 | 58 | |
| 3 | 2014 | 45 | |
| 4 | 2012 | 38 | |
| 5 | 2008 | 25 | |
| 6 | 2014 | 24 | |
| 7 | 2011 | 23 | |
| 8 | 2014 | 23 | |
| 9 | 2009 | 12 | |
| 10 | 2012 | 11 | |
| 11 | 2011 | 9 | |
| 12 | 2023 | 7 | |
| 13 | 2012 | 4 | |
| 14 | 2012 | 4 | |
| 15 | 2016 | 2 | |
| 16 | Extraction of Valley Networks in Mars Elevation Maps | 2010 | 1 |
| 17 | 2021 | 0 |
About David Günther
David Günther is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Biophysics, Mathematical Physics and Computer Graphics and Computer-Aided Design, having authored 17 papers that have together received 444 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (8 papers), Cell Image Analysis Techniques (3 papers), Computer Graphics and Visualization Techniques (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Advanced Numerical Methods in Computational Mathematics (2 papers), Homotopy and Cohomology in Algebraic Topology (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Structural Biology (67 citations), Biophysics (101 citations), Computer Graphics and Computer-Aided Design (48 citations), Computational Theory and Mathematics (159 citations) and Computer Vision and Pattern Recognition (144 citations). David Günther has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Tino Weinkauf, Jan Reininghaus, Britta Weber, Hans‐Christian Hege, Wolfgang Baumeister, Steffen Prohaska, R. Hegerl, Daniel Baum, Ohad Medalia and Alexander Rigort. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Journal of Structural Biology, Physica D Nonlinear Phenomena and Agronomy.
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.