Ivan Viola

3.1k total citations
127 papers, 2.2k citations indexed

About

Ivan Viola is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Molecular Biology. According to data from OpenAlex, Ivan Viola has authored 127 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Computer Vision and Pattern Recognition, 57 papers in Computer Graphics and Computer-Aided Design and 21 papers in Molecular Biology. Recurrent topics in Ivan Viola's work include Computer Graphics and Visualization Techniques (56 papers), Data Visualization and Analytics (55 papers) and Advanced Vision and Imaging (22 papers). Ivan Viola is often cited by papers focused on Computer Graphics and Visualization Techniques (56 papers), Data Visualization and Analytics (55 papers) and Advanced Vision and Imaging (22 papers). Ivan Viola collaborates with scholars based in Austria, Norway and Saudi Arabia. Ivan Viola's co-authors include M. Eduard Gröller, Armin Kanitsar, Július Parulek, Miquel Feixas, Mateu Sbert, Stefan Brückner, Helwig Hauser, Barbora Kozlíková, Daniel Patel and Tobias Isenberg and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of Molecular Biology.

In The Last Decade

Ivan Viola

120 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ivan Viola Austria 27 1.4k 817 359 315 212 127 2.2k
Stefan Brückner Norway 26 1.6k 1.1× 1.0k 1.3× 294 0.8× 451 1.4× 125 0.6× 132 2.3k
Timo Ropinski Germany 23 1.3k 0.9× 839 1.0× 103 0.3× 447 1.4× 124 0.6× 148 1.9k
M. Eduard Gröller Austria 28 1.9k 1.3× 1.3k 1.5× 122 0.3× 600 1.9× 170 0.8× 123 2.5k
Eduard Gröller Austria 28 1.7k 1.2× 1.1k 1.3× 73 0.2× 563 1.8× 116 0.5× 137 2.5k
Hans Hagen Germany 23 754 0.5× 511 0.6× 78 0.2× 387 1.2× 57 0.3× 124 1.6k
Manuel M. Oliveira Brazil 29 2.8k 1.9× 789 1.0× 113 0.3× 542 1.7× 62 0.3× 114 4.1k
Robert van Liere Netherlands 22 713 0.5× 263 0.3× 106 0.3× 141 0.4× 60 0.3× 105 1.5k
Lars Linsen Germany 20 685 0.5× 416 0.5× 65 0.2× 375 1.2× 59 0.3× 149 1.5k
Penny Rheingans United States 25 1.2k 0.8× 742 0.9× 40 0.1× 473 1.5× 47 0.2× 76 1.9k
Michael E. Papka United States 26 545 0.4× 304 0.4× 59 0.2× 150 0.5× 38 0.2× 180 2.2k

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-authorship network of co-authors of Ivan Viola

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Viola. A scholar is included among the top collaborators of Ivan Viola based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ivan Viola. Ivan Viola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Besançon, Lonni, et al.. (2025). VOICE: Visual Oracle for Interaction, Conversation, and Explanation. IEEE Transactions on Visualization and Computer Graphics. 31(10). 8828–8845.
2.
Strnad, Ondřej, et al.. (2025). SynopFrame: Multiscale time-dependent visual abstraction framework for analyzing DNA nanotechnology simulations. Computers & Graphics. 132. 104376–104376.
3.
Strnad, Ondřej, et al.. (2024). Nanomatrix: Scalable Construction of Crowded Biological Environments. IEEE Transactions on Visualization and Computer Graphics. 31(9). 4619–4637.
4.
Guo, Keying, Raik Grünberg, Yuxiang Ren, et al.. (2023). SpyDirect: A Novel Biofunctionalization Method for High Stability and Longevity of Electronic Biosensors. Advanced Science. 11(27). e2306716–e2306716. 6 indexed citations
5.
Khan, Dawar, et al.. (2023). Dr. KID: Direct Remeshing and K-set Isometric Decomposition for Scalable Physicalization of Organic Shapes. IEEE Transactions on Visualization and Computer Graphics. 30(1). 1–11. 1 indexed citations
6.
Strnad, Ondřej, et al.. (2023). Volume conductor: interactive visibility management for crowded volumes. The Visual Computer. 40(2). 1005–1020. 1 indexed citations
7.
Strnad, Ondřej, et al.. (2022). Finding Nano-Ötzi: Cryo-Electron Tomography Visualization Guided by Learned Segmentation. IEEE Transactions on Visualization and Computer Graphics. 29(10). 4198–4214. 7 indexed citations
8.
Zhang, Jian, et al.. (2021). Data-Driven Colormap Adjustment for Exploring Spatial Variations in Scalar Fields. IEEE Transactions on Visualization and Computer Graphics. 28(12). 4902–4917. 2 indexed citations
9.
Strnad, Ondřej, et al.. (2021). Nanotilus: Generator of Immersive Guided-Tours in Crowded 3D Environments. IEEE Transactions on Visualization and Computer Graphics. 29(3). 1860–1875. 10 indexed citations
10.
Ahmadi, Yasaman, et al.. (2020). Adenita: interactive 3D modelling and visualization of DNA nanostructures. Nucleic Acids Research. 48(15). 8269–8275. 38 indexed citations
11.
Autin, Ludovic, et al.. (2019). Parallel Generation and Visualization of Bacterial Genome Structures. Computer Graphics Forum. 38(7). 57–68. 5 indexed citations
12.
Viola, Ivan, et al.. (2016). Output‐Sensitive Filtering of Streaming Volume Data. Computer Graphics Forum. 36(1). 249–262. 7 indexed citations
13.
Waldner, Manuela, et al.. (2014). Attractive Flicker — Guiding Attention in Dynamic Narrative Visualizations. IEEE Transactions on Visualization and Computer Graphics. 20(12). 2456–2465. 30 indexed citations
14.
Brambilla, A., Ivan Viola, & Helwig Hauser. (2012). A Hierarchical Splitting Scheme to Reveal Insight into Highly Self-Occluded Integral Surfaces. Bergen Open Research Archive (BORA) (University of Bergen). 20. 57–64. 2 indexed citations
15.
Feixas, Miquel, et al.. (2012). Computer-aided image geometry analysis and subset selection for optimizing texture quality in photorealistic models. Computers & Geosciences. 52. 281–291. 4 indexed citations
16.
Viola, Ivan, et al.. (2010). Interactive illustrative visualization of hierarchical volume data. Graphics Interface. 137–144. 19 indexed citations
17.
Brückner, Stefan, Peter Rautek, Ivan Viola, et al.. (2010). Hybrid visibility compositing and masking for illustrative rendering. Computers & Graphics. 34(4). 361–369. 18 indexed citations
18.
Nylund, Kim, Svein Ødegaard, Trygve Hausken, et al.. (2009). Sonography of the small intestine. World Journal of Gastroenterology. 15(11). 1319–1319. 79 indexed citations
19.
Viola, Ivan, et al.. (2008). Hierarchical Volume Visualization of Brain Anatomy.. Vision Modeling and Visualization. 313–322. 2 indexed citations
20.
Hadwiger, Markus, Ivan Viola, Thomas Theußl, & Helwig Hauser. (2002). Fast and Flexible High-Quality Texture Filtering With Tiled High-Resolution Filters.. Vision Modeling and Visualization. 155–162. 7 indexed citations

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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