David S. Ebert

10.1k citations
265 papers · 6.8k indexed · h-index 42

David S. Ebert

253 papers receiving 6.4k citations

Peers

David S. Ebert
Comparison fields: 5 of 196
  • Computer Graphics and Computer-Aided Design 1.9k
  • Computer Vision and Pattern Recognition 3.4k
  • Human-Computer Interaction 288
  • Computational Mechanics 1.0k
  • Signal Processing 512
Replace Claudio Silva with:
Claudio Silva United States
Torsten Möller Canada
Ramesh Jain United States
Jarke J. van Wijk Netherlands
Thomas Ertl Germany
Helwig Hauser Norway
Michael Garland United States
Jie Zhou China
Tsung-Yi Lin United States
Andrew Cunningham Australia
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Citations per field
00.5×2.5×
Claudio Silva · 1×
Citations per year

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

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20244
4 20241
5 202127
6
Social Media Visual Analytic Toolkits for Disaster Management: A Review of the Literature.
20178
7
Achieving a cyber-secure smart grid through situation aware visual analytics
20152
8
Development of a Quick Look Pandemic Influenza Modeling and Visualization Tool
20104
9 2009151
10
A System For Realistic Weather Rendering
20070
11
The Future Visualization Platform
20041
12
Hardware Accelerated Interactive Stipple Drawing of Polygonal Objects.
20027
13 20011
14
Proceedings of IEEE Visualization '99
1999415
15 19998
16
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
19991
17
Interactive Volumetric Information Visualization.
19970
18
Proceedings of the 1997 workshop on New paradigms in information visualization and manipulation
19971
19 199616
20
Multiresolution Document Analysis with Wavelets
19961

About David S. Ebert

David S. Ebert is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geography, Planning and Development, having authored 265 papers that have together received 6.8k indexed citations. Recurring topics across this work include Data Visualization and Analytics (115 papers), Computer Graphics and Visualization Techniques (80 papers), 3D Shape Modeling and Analysis (38 papers), Advanced Vision and Imaging (27 papers), Data-Driven Disease Surveillance (23 papers), Nutritional Studies and Diet (15 papers), Video Analysis and Summarization (13 papers) and Anomaly Detection Techniques and Applications (13 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.9k citations), Computer Vision and Pattern Recognition (3.4k citations) and Human-Computer Interaction (288 citations). David S. Ebert has collaborated with scholars based in United States, Canada and China. Frequent 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. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, Computer Graphics Forum, Information Visualization and The Visual Computer.

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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