Timo Ropinski

3.3k citations
150 papers · 2.0k · h-index 24

Impact in

Papers in

Timo Ropinski

143 papers receiving 1.9k citations

Peers

Timo Ropinski
Comparison fields: 5 of 140
  • Computer Graphics and Computer-Aided Design 846
  • Computer Vision and Pattern Recognition 1.3k
  • Computational Mechanics 454
  • Biophysics 121
  • Human-Computer Interaction 106
Replace Eduard Gröller with:
Eduard Gröller Austria
Leon A. Gatys Germany
Won‐Ki Jeong South Korea
Ivan Viola Austria
Varun Jampani United States
Manuel M. Oliveira Brazil
Jaakko Lehtinen Finland
M. Eduard Gröller Austria
Deborah Silver United States
Tero Karras United Kingdom
Timo Ropinski relative to Eduard Gröller Austria Eduard Gröller's profile →
Citations per field
00.5×4.8×
Eduard Gröller · 1×
Citations per year

Countries citing papers authored by Timo Ropinski

Since Specialization
Citations

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

Fields of papers citing papers by Timo Ropinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009122
2 201192
3 201372
4 201969
5 201868
6 200868
7 201163
8 200862
9 202157
10 201057
11 201647
12 201041
13 201940
14 201838
15 200835
16 201229
17 200929
18 201427
19 201026
20 201526

About Timo Ropinski

Timo Ropinski is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 150 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (70 papers), Data Visualization and Analytics (40 papers), 3D Shape Modeling and Analysis (35 papers), Advanced Vision and Imaging (31 papers), Medical Image Segmentation Techniques (12 papers), Image and Video Quality Assessment (6 papers), Scientific Computing and Data Management (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (846 citations), Computer Vision and Pattern Recognition (1.3k citations), Computational Mechanics (454 citations), Biophysics (121 citations) and Human-Computer Interaction (106 citations). Timo Ropinski has collaborated with scholars based in Germany, Sweden and Austria. Frequent co-authors include Klaus Hinrichs, Bernhard Preim, Anders Ynnerman, Tobias Ritschel, Daniel Jönsson, Steffen Oeltze, Frank Steinicke, Patric Ljung, Markus Hadwiger and Pere‐Pau Vázquez. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Computers & Graphics, The Visual Computer 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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