Ivan Viola

3.2k citations
140 papers · 2.4k · h-index 28

Impact in

Papers in

Ivan Viola

130 papers receiving 2.3k citations

Peers

Ivan Viola
Comparison fields: 5 of 138
  • Computer Graphics and Computer-Aided Design 892
  • Computer Vision and Pattern Recognition 1.6k
  • Biophysics 213
  • Human-Computer Interaction 142
  • Computational Mechanics 357
Replace Timo Ropinski with:
Timo Ropinski Germany
Stefan Brückner Norway
M. Eduard Gröller Austria
Eduard Gröller Austria
Penny Rheingans United States
Hans Hagen Germany
Deborah Silver United States
Robert van Liere Netherlands
Lars Linsen Germany
Manuel M. Oliveira Brazil
Ivan Viola relative to Timo Ropinski Germany Timo Ropinski's profile →
Citations per field
00.5×1.7×
Timo Ropinski · 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 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005146
2 2006139
3 2005121
4 201686
5 200984
6 201262
7 201557
8 201647
9 201143
10 202040
11 201038
12 200538
13 200737
14 201237
15 200737
16 201736
17 201736
18 200835
19 201434
20 201634

About Ivan Viola

Ivan Viola is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Molecular Biology, Computational Mechanics and Biophysics, having authored 140 papers that have together received 2.4k indexed citations. Recurring topics across this work include Data Visualization and Analytics (58 papers), Computer Graphics and Visualization Techniques (58 papers), Advanced Vision and Imaging (22 papers), Cell Image Analysis Techniques (16 papers), 3D Shape Modeling and Analysis (16 papers), Medical Image Segmentation Techniques (10 papers), 3D Surveying and Cultural Heritage (9 papers) and Protein Structure and Dynamics (9 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (892 citations), Computer Vision and Pattern Recognition (1.6k citations), Biophysics (213 citations), Human-Computer Interaction (142 citations) and Computational Mechanics (357 citations). Ivan Viola has collaborated with scholars based in Austria, Norway and Saudi Arabia. Frequent co-authors include M. Eduard Gröller, Armin Kanitsar, Július Parulek, Stefan Brückner, Miquel Feixas, Mateu Sbert, Helwig Hauser, Tobias Isenberg, Daniel Patel and Barbora Kozlíková. 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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