S. Prohaska
Impact in
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- Computer Graphics and Visualization Techniques
- Orthopedics and Sports Medicine top 10%
- Bone health and osteoporosis research
Papers in
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- Digital Image Processing Techniques 5
- Medical Image Segmentation Techniques 4
- Data Visualization and Analytics 2
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- Computer Graphics and Visualization Techniques 6
- Co-authors
- Wolfgang Gowin (2 shared papers)A. Laib (1 shared paper)Li. Mosekilde (1 shared paper)Jesper Skovhus Thomsen (1 shared paper)Bruno Koller (1 shared paper)Hans‐Christian Hege (5 shared papers)Malte Westerhoff (2 shared papers)Céline Fouard (2 shared papers)
- Journals
- Computer Graphics Forum (2 papers)IEEE Transactions on Medical Imaging (1 paper)Journal of Microscopy (1 paper)International Journal of Bifurcation and Chaos (1 paper)Biomedical Physics & Engineering Express (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
S. Prohaska
13 papers receiving 341 citations
Peers
Comparison fields: 5 of 109
- Computer Graphics and Computer-Aided Design 44
- Orthopedics and Sports Medicine 55
- Biophysics 20
- Computer Vision and Pattern Recognition 65
- Structural Biology 4
Countries citing papers authored by S. Prohaska
This map shows the geographic impact of S. Prohaska'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 S. Prohaska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Prohaska more than expected).
Fields of papers citing papers by S. Prohaska
This network shows the impact of papers produced by S. Prohaska. 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 S. Prohaska. The network helps show where S. Prohaska may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Prohaska, 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 | 2005 | 164 | |
| 2 | 2006 | 65 | |
| 3 | 2005 | 29 | |
| 4 | 2005 | 17 | |
| 5 | 2008 | 15 | |
| 6 | 2009 | 14 | |
| 7 | 2008 | 14 | |
| 8 | 2003 | 13 | |
| 9 | 2006 | 9 | |
| 10 | 2010 | 6 | |
| 11 | 2017 | 3 | |
| 12 | 2010 | 2 | |
| 13 | 2005 | 1 |
About S. Prohaska
S. Prohaska is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Computational Theory and Mathematics and Biophysics, having authored 13 papers that have together received 352 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (6 papers), Digital Image Processing Techniques (5 papers), Medical Image Segmentation Techniques (4 papers), Data Visualization and Analytics (2 papers), Distributed and Parallel Computing Systems (2 papers), Topological and Geometric Data Analysis (2 papers), Cell Image Analysis Techniques (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (44 citations), Orthopedics and Sports Medicine (55 citations), Biophysics (20 citations), Computer Vision and Pattern Recognition (65 citations) and Structural Biology (4 citations). S. Prohaska has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Wolfgang Gowin, A. Laib, Li. Mosekilde, Jesper Skovhus Thomsen, Bruno Koller, Hans‐Christian Hege, Malte Westerhoff, Céline Fouard, Grégoire Malandain and Andrei Hutanu. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Medical Imaging, Journal of Microscopy, International Journal of Bifurcation and Chaos and Biomedical Physics & Engineering Express.
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.