Ivan Viola

133 papers receiving 2.4k citations

Peers

Ivan Viola
Comparison fields: 5 of 101
  • Computer Graphics and Computer-Aided Design 1.2k
  • Computer Vision and Pattern Recognition 1.2k
  • Human-Computer Interaction 128
  • Critical Care and Intensive Care Medicine 53
  • Structural Biology 19
Replace Stefan Brückner with:
Stefan Brückner Norway
Timo Ropinski Germany
Johanna Beyer United States
Riccardo Scateni Italy
Katja Bühler Austria
Marco Tarini Italy
Dick Land
Ingmar Bitter United States
Will Schroeder United States
Scott J. Daly United States
Ivan Viola relative to Stefan Brückner Norway Stefan Brückner's profile →
Citations per field
00.5×2×3×4×4.8×
Stefan Brückner · 1×
Citations per year

Countries citing papers authored by Ivan Viola

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Viola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005148
2 2006144
3 2005123
4 201692
5 200986
6 201264
7 201561
8 201648
9 201144
10 202042
11 200541
12 201241
13 200840
14 201040
15 200738
16 201738
17 200737
18 201637
19 201737
20 201836

About Ivan Viola

Ivan Viola is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Critical Care and Intensive Care Medicine, Geochemistry and Petrology and Structural Biology, having authored 141 papers that have together received 2.5k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (88 papers), Data Visualization and Analytics (62 papers), Medical Image Segmentation Techniques (10 papers), Ultrasound in Clinical Applications (8 papers), Geological Modeling and Analysis (7 papers), 3D Shape Modeling and Analysis (5 papers), Advanced Electron Microscopy Techniques and Applications (4 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.2k citations), Computer Vision and Pattern Recognition (1.2k citations), Human-Computer Interaction (128 citations), Critical Care and Intensive Care Medicine (53 citations) and Structural Biology (19 citations). Ivan Viola has collaborated with scholars based in Austria, Norway and Saudi Arabia. Frequent co-authors include Eduard Groeller, Armin Kanitsar, Július Parulek, Mateu Sbert, Miquel Feixas, Helwig Hauser, Stefan Brückner, Tobias Isenberg A, Barbora Kozlíková and Daniel Patel. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Computers & Graphics, BMC Bioinformatics 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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