William Ribarsky

6.8k total citations · 1 hit paper
170 papers, 4.5k citations indexed

About

William Ribarsky is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence. According to data from OpenAlex, William Ribarsky has authored 170 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Computer Vision and Pattern Recognition, 34 papers in Computer Graphics and Computer-Aided Design and 29 papers in Artificial Intelligence. Recurrent topics in William Ribarsky's work include Data Visualization and Analytics (90 papers), Computer Graphics and Visualization Techniques (33 papers) and Video Analysis and Summarization (31 papers). William Ribarsky is often cited by papers focused on Data Visualization and Analytics (90 papers), Computer Graphics and Visualization Techniques (33 papers) and Video Analysis and Summarization (31 papers). William Ribarsky collaborates with scholars based in United States, Canada and Japan. William Ribarsky's co-authors include Remco Chang, Larry F. Hodges, Peter Wonka, François X. Sillion, Michael Wimmer, Wenwen Dou, David Koller, Peter Lindström, Brian Fisher and Gregory A. Turner and has published in prestigious journals such as ACM Transactions on Graphics, Computer and Human Factors The Journal of the Human Factors and Ergonomics Society.

In The Last Decade

William Ribarsky

165 papers receiving 4.2k citations

Hit Papers

Real-time, continuous lev... 1996 2026 2006 2016 1996 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
William Ribarsky 2.8k 1.1k 879 581 495 170 4.5k
Huamin Qu 4.5k 1.6× 414 0.4× 2.1k 2.4× 336 0.6× 1.1k 2.2× 280 7.0k
Claudio Silva 2.8k 1.0× 2.3k 2.2× 588 0.7× 114 0.2× 663 1.3× 224 6.5k
Tobias Schreck 3.4k 1.2× 303 0.3× 1.0k 1.2× 162 0.3× 887 1.8× 236 4.5k
Tobias Isenberg 2.2k 0.8× 892 0.8× 380 0.4× 595 1.0× 205 0.4× 118 3.1k
Rynson W. H. Lau 4.5k 1.6× 558 0.5× 786 0.9× 304 0.5× 149 0.3× 265 6.4k
Heidrun Schumann 2.9k 1.0× 262 0.2× 754 0.9× 270 0.5× 1.1k 2.2× 168 3.7k
Michael Zyda 1.2k 0.4× 471 0.4× 556 0.6× 925 1.6× 147 0.3× 152 4.6k
Melanie Tory 2.2k 0.8× 182 0.2× 793 0.9× 839 1.4× 256 0.5× 103 3.4k
Jürgen Döllner 1.3k 0.5× 775 0.7× 179 0.2× 140 0.2× 199 0.4× 243 3.1k
Xiaoru Yuan 2.2k 0.8× 401 0.4× 636 0.7× 117 0.2× 689 1.4× 141 2.9k

Countries citing papers authored by William Ribarsky

Since Specialization
Citations

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

Fields of papers citing papers by William Ribarsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Ribarsky

This figure shows the co-authorship network connecting the top 25 collaborators of William Ribarsky. A scholar is included among the top collaborators of William Ribarsky 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 William Ribarsky. William Ribarsky 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.
Dou, Wenwen, et al.. (2013). HierarchicalTopics: Visually Exploring Large Text Collections Using Topic Hierarchies. IEEE Transactions on Visualization and Computer Graphics. 19(12). 2002–2011. 115 indexed citations
2.
Ziemkiewicz, Caroline, et al.. (2012). How Visualization Layout Relates to Locus of Control and Other Personality Factors. IEEE Transactions on Visualization and Computer Graphics. 19(7). 1109–1121. 42 indexed citations
3.
Chen, Shen-En, et al.. (2011). iMonitor: Architecture of Web-based Collaborative Visual Analytics System for Bridge Management. Transportation Research Board 90th Annual MeetingTransportation Research Board. 2 indexed citations
4.
Yang, Jing, et al.. (2010). EventRiver: Visually Exploring Text Collections with Temporal References. IEEE Transactions on Visualization and Computer Graphics. 18(1). 93–105. 89 indexed citations
5.
Jia, Yue, et al.. (2009). A Blackboard-based Approach Towards Predictive Analytics.. National Conference on Artificial Intelligence. 154. 5 indexed citations
6.
Green, Tera Marie, William Ribarsky, & Brian Fisher. (2009). Building and applying a human cognition model for visual analytics. Information Visualization. 8(1). 1–13. 63 indexed citations
7.
Chang, Remco, Caroline Ziemkiewicz, Tera Marie Green, & William Ribarsky. (2009). Defining Insight for Visual Analytics. IEEE Computer Graphics and Applications. 29(2). 14–17. 100 indexed citations
8.
Dou, Wenwen, et al.. (2009). Recovering Reasoning Processes from User Interactions. IEEE Computer Graphics and Applications. 29(3). 52–61. 95 indexed citations
9.
Chang, Remco, Alvin Lee, Mohammad Ghoniem, et al.. (2008). Scable and interactive visual analysis of financal wire transactions for fraud detection. 7(1). 63–76. 14 indexed citations
10.
Wartell, Zachary, et al.. (2008). Multi-Focused Geospatial Analysis Using Probes. IEEE Transactions on Visualization and Computer Graphics. 14(6). 1165–1172. 40 indexed citations
11.
Chang, Remco, et al.. (2007). Legible Cities: Focus-Dependent Multi-Resolution Visualization of Urban Relationships. IEEE Transactions on Visualization and Computer Graphics. 13(6). 1169–1175. 51 indexed citations
12.
Krum, David M., et al.. (2002). Evaluation of a multimodal interface for 3D terrain visualization. IEEE Visualization. 411–418. 3 indexed citations
13.
Leibe, Bastian, Thad Starner, William Ribarsky, et al.. (2000). T owards Spontaneous Interaction with the Perceptive Workbench, a Semi-Immersive Virtual Environment*. IEEE Computer Graphics and Applications. 4 indexed citations
14.
Davis, Douglas D., et al.. (1999). Real-time visualization of scalably large collections of heterogeneous objects (case study). IEEE Visualization. 437–440. 11 indexed citations
15.
Gröller, Eduard, Helwig Löffelmann, & William Ribarsky. (1999). Data visualization '99 : Proceedings of the joint EUROGRAPHICS and IEEE TCVG symposium on visualization in Vienna, Austria, May 26-28, 1999. Springer eBooks. 1 indexed citations
16.
Davis, Douglas D., et al.. (1998). Intent, perception, and out-of-core visualization applied to terrain. IEEE Visualization. 455–458. 20 indexed citations
17.
Davis, Douglas D., et al.. (1998). Intent, perception, and out-of-core visualization applied to terrain. 455–458. 7 indexed citations
18.
Koller, David, Peter Lindström, William Ribarsky, et al.. (1995). Virtual GIS: a real-time 3D geographic information system. IEEE Visualization. 94–100. 73 indexed citations
19.
Jean, Yves D., et al.. (1995). An Integrated Approach for Steering, Visualization, and Analysis of Atmospheric Simulations. IEEE Visualization. 383–387. 9 indexed citations
20.
Ribarsky, William. (1993). Navigating the data flood: creating a visual road map to maneuver through your data. BYTE archive. 18(4). 129. 1 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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