Timo Ropinski

3.3k citations
164 papers · 2.2k · h-index 26

Impact in

Papers in

Timo Ropinski

156 papers receiving 2.2k citations

Peers

Timo Ropinski
Comparison fields: 5 of 143
  • Computer Graphics and Computer-Aided Design 938
  • Computer Vision and Pattern Recognition 1.4k
  • Human-Computer Interaction 196
  • Computational Mechanics 497
  • Biophysics 130
Replace Eduard Gröller with:
Eduard Gröller Austria
Leon A. Gatys Germany
Won‐Ki Jeong South Korea
Yoshihisa Shinagawa Japan
Manuel M. Oliveira Brazil
Deborah Silver United States
Ivan Viola Austria
Varun Jampani United States
James Tompkin United States
Jaakko Lehtinen Finland
Timo Ropinski relative to Eduard Gröller Austria Eduard Gröller's profile →
Citations per field
00.5×5.3×
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 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009133
2 2011100
3 201877
4 201376
5 200874
6 201969
7 201065
8 200865
9 201164
10 202158
11 200651
12 201648
13 201944
14 200644
15 201843
16 201042
17 200837
18 200935
19 201232
20 201030

About Timo Ropinski

Timo Ropinski is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Human-Computer Interaction and Artificial Intelligence, having authored 164 papers that have together received 2.2k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (74 papers), Data Visualization and Analytics (42 papers), 3D Shape Modeling and Analysis (35 papers), Advanced Vision and Imaging (33 papers), Medical Image Segmentation Techniques (14 papers), Interactive and Immersive Displays (11 papers), Virtual Reality Applications and Impacts (9 papers) and Image and Video Quality Assessment (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (938 citations), Computer Vision and Pattern Recognition (1.4k citations), Human-Computer Interaction (196 citations), Computational Mechanics (497 citations) and Biophysics (130 citations). Timo Ropinski has collaborated with scholars based in Germany, Sweden and Austria. Frequent co-authors include Klaus Hinrichs, Frank Steinicke, Bernhard Preim, Anders Ynnerman, Tobias Ritschel, Daniel Jönsson, Steffen Oeltze, 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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