David S. Ebert
Impact in
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- Computer Graphics and Visualization Techniques
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- Data Visualization and Analytics
- Advanced Vision and Imaging
- Image Retrieval and Classification Techniques
- Video Analysis and Summarization
Papers in
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- Data Visualization and Analytics 115
- Advanced Vision and Imaging 27
- Video Analysis and Summarization 13
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- Computer Graphics and Visualization Techniques 80
- Co-authors
- Ross Maciejewski (53 shared papers)Edward J. Delp (21 shared papers)Carol J. Boushey (17 shared papers)Penny Rheingans (7 shared papers)Yun Jang (24 shared papers)Markus Groß (1 shared paper)Bernd Hamann (1 shared paper)Fengqing Zhu (7 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (30 papers)IEEE Computer Graphics and Applications (16 papers)Computer Graphics Forum (13 papers)Information Visualization (5 papers)The Visual Computer (3 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
David S. Ebert
252 papers receiving 6.4k citations
Peers
Comparison fields: 5 of 191
- Computer Graphics and Computer-Aided Design 1.9k
- Computer Vision and Pattern Recognition 3.4k
- Human-Computer Interaction 271
- Computational Mechanics 1.0k
- Signal Processing 511
Countries citing papers authored by David S. Ebert
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
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-authors
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.
All Works
Showing the 20 most-cited of 265 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Proceedings of IEEE Visualization '99 | 1999 | 415 |
| 2 | 2010 | 274 | |
| 3 | Visualization and computer graphics | 2007 | 202 |
| 4 | 2012 | 191 | |
| 5 | 2009 | 178 | |
| 6 | 2009 | 176 | |
| 7 | 1994 | 174 | |
| 8 | 2015 | 168 | |
| 9 | 2009 | 151 | |
| 10 | 2012 | 138 | |
| 11 | 2018 | 135 | |
| 12 | 2013 | 127 | |
| 13 | 2001 | 121 | |
| 14 | 1990 | 116 | |
| 15 | 2010 | 112 | |
| 16 | 2009 | 111 | |
| 17 | 2002 | 81 | |
| 18 | 2002 | 76 | |
| 19 | 2019 | 72 | |
| 20 | Proceedings of the symposium on Data Visualisation 2002 | 2002 | 71 |
About David S. Ebert
David S. Ebert is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Computational Mechanics and Epidemiology, 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 (21 papers), Nutritional Studies and Diet (14 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), Human-Computer Interaction (271 citations), Computational Mechanics (1.0k citations) and Signal Processing (511 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, Markus Groß, Bernd Hamann, 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.