David S. Ebert

10.1k total citations
265 papers, 6.8k citations indexed

About

David S. Ebert is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence. According to data from OpenAlex, David S. Ebert has authored 265 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Computer Vision and Pattern Recognition, 81 papers in Computer Graphics and Computer-Aided Design and 39 papers in Artificial Intelligence. Recurrent topics in David S. Ebert's work include Data Visualization and Analytics (115 papers), Computer Graphics and Visualization Techniques (80 papers) and 3D Shape Modeling and Analysis (38 papers). David S. Ebert is often cited by papers focused on Data Visualization and Analytics (115 papers), Computer Graphics and Visualization Techniques (80 papers) and 3D Shape Modeling and Analysis (38 papers). David S. Ebert collaborates with scholars based in United States, Canada and China. David S. Ebert's co-authors include Ross Maciejewski, Edward J. Delp, Carol J. Boushey, Penny Rheingans, Yun Jang, Bernd Hamann, Markus Groß, Fengqing Zhu, Deborah A. Kerr and Insoo Woo and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Communications of the ACM.

In The Last Decade

David S. Ebert

253 papers receiving 6.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David S. Ebert United States 42 3.4k 1.9k 1.0k 894 890 265 6.8k
Peter Hall Australia 53 1.9k 0.6× 328 0.2× 541 0.5× 2.7k 3.0× 93 0.1× 315 10.9k
Ramesh Jain United States 51 10.3k 3.0× 474 0.3× 725 0.7× 2.3k 2.6× 127 0.1× 410 14.4k
Ingemar J. Cox United States 47 10.9k 3.2× 496 0.3× 142 0.1× 2.0k 2.3× 128 0.1× 185 14.8k
Edward J. Delp United States 57 9.3k 2.7× 244 0.1× 275 0.3× 1.9k 2.1× 2.2k 2.5× 673 14.2k
Torsten Möller Canada 36 2.8k 0.8× 1.4k 0.7× 856 0.9× 549 0.6× 72 0.1× 169 4.2k
Michael Garland United States 48 4.6k 1.4× 4.7k 2.5× 4.3k 4.3× 1.6k 1.7× 79 0.1× 145 13.2k
Federico Girosi United States 39 4.2k 1.2× 115 0.1× 899 0.9× 5.1k 5.7× 551 0.6× 127 13.5k
Andrew Cunningham Australia 26 6.8k 2.0× 310 0.2× 332 0.3× 727 0.8× 59 0.1× 142 9.8k
Atsuyuki Okabe Japan 25 745 0.2× 706 0.4× 376 0.4× 303 0.3× 62 0.1× 135 5.9k
Andrew Johnson United States 30 1.2k 0.3× 308 0.2× 601 0.6× 255 0.3× 74 0.1× 202 3.3k

Countries citing papers authored by David S. Ebert

Since Specialization
Citations

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

Fields of papers citing papers by David S. Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Ebert. 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 David S. Ebert. The network helps show where David S. Ebert may publish in the future.

Co-authorship network of co-authors of David S. Ebert

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Ebert. A scholar is included among the top collaborators of David S. Ebert 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 David S. Ebert. David S. Ebert 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.
Danala, Gopichandh, et al.. (2025). SMART 2.0: Social Media Analytics and Reporting Tool Applied to Misinformation Tracking. Media and Communication. 13. 1 indexed citations
2.
Kuhn, Katrin Gaardbo, et al.. (2024). A comprehensive approach to integrated one health surveillance and response. 43(1). 50–51. 1 indexed citations
3.
Behrisch, Michael, Rita Borgo, Duen Horng Chau, et al.. (2021). The Role of Interactive Visualization in Fostering Trust in AI. IEEE Computer Graphics and Applications. 41(6). 7–12. 27 indexed citations
4.
Malik, Abish, et al.. (2012). A correlative analysis process in a visual analytics environment. 33–42. 35 indexed citations
5.
Eicher‐Miller, Heather A., et al.. (2012). Applied Visual Analytics for Exploring the National Health and Nutrition Examination Survey. eSpace (Curtin University). 1855–1863. 10 indexed citations
6.
Malik, Abish, et al.. (2011). Describing Temporal Correlation Spatially in a Visual Analytics Environment. 1–8. 6 indexed citations
7.
Lagae, Ares, Sylvain Lefèbvre, Robert L. Cook, et al.. (2010). A Survey of Procedural Noise Functions. Computer Graphics Forum. 29(8). 2579–2600. 107 indexed citations
8.
Malik, Abish, et al.. (2010). Visual Analytics Law Enforcement Toolkit. Purdue e-Pubs (Purdue University System). 222–228. 23 indexed citations
9.
Ebert, David S., et al.. (2010). Development of a Quick Look Pandemic Influenza Modeling and Visualization Tool. International Conference on Information Systems for Crisis Response and Management. 4 indexed citations
10.
Kim, SungYe, Insoo Woo, Ross Maciejewski, & David S. Ebert. (2010). Automated hedcut illustration using isophotes. 172–183. 8 indexed citations
11.
Schap, TusaRebecca E., Fengqing Zhu, Anand Mariappan, et al.. (2009). Evidence-Based Development of a Mobile Telephone Food Record. Journal of the American Dietetic Association. 110(1). 74–79. 151 indexed citations
12.
Ebert, David S., et al.. (2007). A System For Realistic Weather Rendering.
13.
Ebert, David S., et al.. (2004). The Future Visualization Platform. IEEE Visualization. 569–571. 1 indexed citations
14.
Lu, Aidong, Christopher Morris, David S. Ebert, Penny Rheingans, & Charles Hansen. (2002). Non-photorealistic volume rendering using stippling techniques. IEEE Visualization. 211–218. 76 indexed citations
15.
Lu, Aidong, et al.. (2002). Hardware Accelerated Interactive Stipple Drawing of Polygonal Objects.. Vision Modeling and Visualization. 61–68. 7 indexed citations
16.
Ebert, David S., Jean M. Favre, & Ronald Peikert. (2001). Data visualization 2001 : Proceedings of the joint Eurographics - IEEE TCVG Symposium on Visualization in Ascona, Switzerland, May 28-30, 2001. Springer eBooks. 1 indexed citations
17.
Ebert, David S. & Chris Shaw. (1999). Proceedings of the 1999 workshop on new paradigms in information visualization and manipulation in conjunction with the eighth ACM internation conference on Information and knowledge management. 1 indexed citations
18.
Ebert, David S., et al.. (1997). Proceedings of the 1997 workshop on New paradigms in information visualization and manipulation. 1 indexed citations
19.
Ebert, David S., et al.. (1996). Two-handed interactive stereoscopic visualization. IEEE Visualization. 205–210. 16 indexed citations
20.
Ebert, David S., et al.. (1996). Multiresolution Document Analysis with Wavelets. 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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