S. Prohaska

420 total citations
14 papers, 329 citations indexed

About

S. Prohaska is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computer Networks and Communications. According to data from OpenAlex, S. Prohaska has authored 14 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Graphics and Computer-Aided Design and 2 papers in Computer Networks and Communications. Recurrent topics in S. Prohaska's work include Computer Graphics and Visualization Techniques (6 papers), Digital Image Processing Techniques (5 papers) and Medical Image Segmentation Techniques (4 papers). S. Prohaska is often cited by papers focused on Computer Graphics and Visualization Techniques (6 papers), Digital Image Processing Techniques (5 papers) and Medical Image Segmentation Techniques (4 papers). S. Prohaska collaborates with scholars based in Germany, France and Denmark. S. Prohaska's co-authors include Wolfgang Gowin, A. Laib, Jesper Skovhus Thomsen, Li. Mosekilde, Bruno Koller, Hans‐Christian Hege, Grégoire Malandain, Céline Fouard, Malte Westerhoff and Andrei Hutanu and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Journal of Microscopy and Computer Graphics Forum.

In The Last Decade

S. Prohaska

14 papers receiving 319 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Prohaska Germany 9 69 68 59 49 41 14 329
Monan Wang China 11 28 0.4× 113 1.7× 103 1.7× 22 0.4× 20 0.5× 55 380
Abhishek Sinha India 9 37 0.5× 23 0.3× 72 1.2× 305 6.2× 7 0.2× 29 607
Nicolas Piché Canada 14 18 0.3× 125 1.8× 122 2.1× 38 0.8× 5 0.1× 40 553
Josef Kohout Czechia 10 14 0.2× 51 0.8× 28 0.5× 19 0.4× 69 1.7× 46 268
Zhaowei Jiang United States 12 14 0.2× 108 1.6× 67 1.1× 24 0.5× 10 0.2× 37 607
Joakim Lindblad Sweden 16 16 0.2× 102 1.5× 388 6.6× 212 4.3× 14 0.3× 65 930
Christophe Odet France 6 111 1.6× 129 1.9× 102 1.7× 21 0.4× 2 0.0× 17 398
Lyubomir Zagorchev United States 10 6 0.1× 87 1.3× 161 2.7× 85 1.7× 11 0.3× 21 474
Kosuke Takahashi Japan 13 9 0.1× 44 0.6× 176 3.0× 52 1.1× 12 0.3× 70 498
Dagmar Kainmueller Germany 10 6 0.1× 129 1.9× 96 1.6× 45 0.9× 6 0.1× 27 334

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-authorship network of co-authors of S. Prohaska

This figure shows the co-authorship network connecting the top 25 collaborators of S. Prohaska. A scholar is included among the top collaborators of S. Prohaska based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Prohaska. S. Prohaska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Prohaska, S. & Katja Matthias. (2023). Effectiveness of Mindfulness-Based Stress Reduction as a Nondrug Preventive Intervention in Patients with Migraine: A Systematic Review with Meta-Analyses. Complementary Medicine Research. 30(6). 525–534. 1 indexed citations
2.
Homberg, Uwe, et al.. (2017). Adapting trabecular structures for 3D printing: an image processing approach based onμCT data. Biomedical Physics & Engineering Express. 3(3). 35027–35027. 3 indexed citations
3.
Prohaska, S., et al.. (2010). Identification of Descriptive Parameters of the Soil Pore Structure Using Experiments and CT Data. Hydraulic Engineering Repository (HENRY) (Bundesanstalt für Wasserbau). 397–407. 2 indexed citations
4.
Meyer, Brett H., et al.. (2010). Effective Techniques to Visualize Filament‐Surface Relationships. Computer Graphics Forum. 29(3). 1003–1012. 5 indexed citations
5.
Dercksen, Vincent J., Britta Weber, David Günther, et al.. (2009). Automatic alignment of stacks of filament data. e79 d. 971–974. 12 indexed citations
6.
Prohaska, S., et al.. (2008). Ontology-Based Visualization of Hierarchical Neuroanatomical Structures. Eurographics. 177–184. 10 indexed citations
7.
Sahner, Jan, Britta Weber, S. Prohaska, & Hans Lamecker. (2008). Extraction Of Feature Lines On Surface Meshes Based On Discrete Morse Theory. Computer Graphics Forum. 27(3). 735–742. 15 indexed citations
8.
Fouard, Céline, Grégoire Malandain, S. Prohaska, & Malte Westerhoff. (2006). Blockwise processing applied to brain microvascular network study. IEEE Transactions on Medical Imaging. 25(10). 1319–1328. 60 indexed citations
9.
Kaehler, Ralf, S. Prohaska, Andrei Hutanu, & Hans‐Christian Hege. (2006). Visualization of Time-Dependent Remote Adaptive Mesh Refinement Data. 23–23. 9 indexed citations
10.
Thomsen, Jesper Skovhus, A. Laib, Bruno Koller, et al.. (2005). Stereological measures of trabecular bone structure: comparison of 3D micro computed tomography with 2D histological sections in human proximal tibial bone biopsies. Journal of Microscopy. 218(2). 171–179. 158 indexed citations
11.
Fouard, Céline, Grégoire Malandain, S. Prohaska, et al.. (2005). Skeletonization by blocks for large 3D datasets: application to brain microcirculation. 2. 89–92. 15 indexed citations
12.
Zaikin, Alexey, Jürgen Kurths, Peter Saparin, Wolfgang Gowin, & S. Prohaska. (2005). MODELING BONE RESORPTION IN 2D CT AND 3D μCT IMAGES. International Journal of Bifurcation and Chaos. 15(9). 2995–3009. 1 indexed citations
13.
Prohaska, S., et al.. (2005). Interactive exploration of large remote micro-CT scans. 345–352. 26 indexed citations
14.
Prohaska, S. & Hans‐Christian Hege. (2003). Fast visualization of plane-like structures in voxel data. 29–36. 12 indexed citations

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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