S. Prohaska

14 papers receiving 319 citations

Peers

S. Prohaska
Comparison fields: 5 of 112
  • Computer Graphics and Computer-Aided Design 41
  • Orthopedics and Sports Medicine 69
  • Oral Surgery 23
  • Biophysics 18
  • Computer Vision and Pattern Recognition 59
Replace Nicolas Piché with:
Nicolas Piché Canada
Monan Wang China
Josef Kohout Czechia
Joakim Lindblad Sweden
Florian Link Germany
Dagmar Kainmueller Germany
Christophe Odet France
Bill Lorensen United States
Zhaowei Jiang United States
Abhishek Sinha India
S. Prohaska relative to Nicolas Piché Canada Nicolas Piché's profile →
Citations per field
00.5×8.2×
Nicolas Piché · 1×
Citations per year

Countries citing papers authored by S. Prohaska

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with S. Prohaska Line = papers co-authored together S. Prohaska links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2005158
2 200660
3 200526
4 200515
5 200815
6 200312
7 200912
8 200810
9 20069
10 20105
11 20173
12 20102
13 20231
14 20051

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 14 papers that have together received 329 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), Cell Image Analysis Techniques (2 papers), Distributed and Parallel Computing Systems (2 papers), Topological and Geometric Data Analysis (2 papers), Data Visualization and Analytics (2 papers) and Bone health and osteoporosis research (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (41 citations), Orthopedics and Sports Medicine (69 citations), Oral Surgery (23 citations), Biophysics (18 citations) and Computer Vision and Pattern Recognition (59 citations). S. Prohaska has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Wolfgang Gowin, Bruno Koller, Li. Mosekilde, Jesper Skovhus Thomsen, A. Laib, Hans‐Christian Hege, Céline Fouard, Grégoire Malandain, Malte Westerhoff and Andrei Hutanu. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Medical Imaging, International Journal of Bifurcation and Chaos, Journal of Microscopy 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.

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