Thomas Theußl

456 citations
20 papers · 323 · h-index 10

Impact in

Papers in

Thomas Theußl

17 papers receiving 294 citations

Peers

Thomas Theußl
Comparison fields: 5 of 53
  • Computer Graphics and Computer-Aided Design 195
  • Computer Vision and Pattern Recognition 226
  • Computational Mechanics 140
  • Signal Processing 24
  • Radiology, Nuclear Medicine and Imaging 44
Replace Andrew Kensler with:
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Thierry Delmarcelle United States
Kolmogorov United States
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Thomas Theußl relative to Andrew Kensler United States Andrew Kensler's profile →
Citations per field
00.5×3.7×
Andrew Kensler · 1×
Citations per year

Countries citing papers authored by Thomas Theußl

Since Specialization
Citations

This map shows the geographic impact of Thomas Theußl'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 Thomas Theußl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Theußl more than expected).

Fields of papers citing papers by Thomas Theußl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Theußl. 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 Thomas Theußl. The network helps show where Thomas Theußl may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas Theußl, 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 Thomas Theußl Line = papers co-authored together Thomas Theußl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200369
2 200165
3 200029
4 200527
5 200324
6 201823
7
Hardware-Accelerated High-Quality Reconstruction on PC Hardware
200117
8 200014
9 200311
10 202010
11
The Multi-Dimensional Hartley Transform as a Basis for Volume Rendering.
20007
12
Fast and Flexible High-Quality Texture Filtering With Tiled High-Resolution Filters.
20027
13 20217
14 20236
15 20204
16 20021
17 20221
18 20161
19 20250
20 20250

About Thomas Theußl

Thomas Theußl is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Atmospheric Science and Statistical and Nonlinear Physics, having authored 20 papers that have together received 323 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (12 papers), Fluid Dynamics and Turbulent Flows (4 papers), Advanced Vision and Imaging (4 papers), Meteorological Phenomena and Simulations (3 papers), Digital Image Processing Techniques (3 papers), Medical Image Segmentation Techniques (3 papers), 3D Shape Modeling and Analysis (2 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (195 citations), Computer Vision and Pattern Recognition (226 citations), Computational Mechanics (140 citations), Signal Processing (24 citations) and Radiology, Nuclear Medicine and Imaging (44 citations). Thomas Theußl has collaborated with scholars based in Saudi Arabia, Austria and Canada. Frequent co-authors include Torsten Möller, Helwig Hauser, Eduard Gröller, M. Eduard Gröller, Oliver Mattausch, Markus Hadwiger, Peter Rautek, Hamish Carr, Xingdi Zhang and Ivan Viola. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, European Journal of Inorganic Chemistry, Ocean Engineering and IEEE Computer Graphics and Applications.

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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