Ned Greene
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Geometry and Mesh Generation
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- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Data Visualization and Analytics
Papers in
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- Computer Graphics and Visualization Techniques 7
- Computational Geometry and Mesh Generation 2
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- Advanced Vision and Imaging 3
- Co-authors
- Michael D. Kass (2 shared papers)Gavin Miller (1 shared paper)Paul S. Heckbert (1 shared paper)Peter C. Litwinowicz (1 shared paper)Nelson Max (1 shared paper)Jane P. Wilhelms (1 shared paper)Alex Pang (1 shared paper)
- Journals
- IEEE Computer Graphics and Applications (2 papers)ACM SIGGRAPH Computer Graphics (1 paper)Elsevier eBooks (2 papers)
- Partner nations
- United StatesIsrael
In The Last Decade
Ned Greene
11 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 73
- Computer Graphics and Computer-Aided Design 911
- Computer Vision and Pattern Recognition 952
- Computational Mechanics 416
- Geology 74
- Human-Computer Interaction 53
Countries citing papers authored by Ned Greene
This map shows the geographic impact of Ned Greene'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 Ned Greene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ned Greene more than expected).
Fields of papers citing papers by Ned Greene
This network shows the impact of papers produced by Ned Greene. 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 Ned Greene. The network helps show where Ned Greene may publish in the future.
Co-authors
The 7 scholars most cited alongside Ned Greene, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 398 | |
| 2 | 1986 | 387 | |
| 3 | 1986 | 171 | |
| 4 | 1989 | 112 | |
| 5 | 1996 | 91 | |
| 6 | 1989 | 78 | |
| 7 | 1994 | 45 | |
| 8 | 1991 | 36 | |
| 9 | 1994 | 32 | |
| 10 | Hierarchical rendering of complex environments | 1995 | 10 |
| 11 | 1990 | 1 |
About Ned Greene
Ned Greene is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Human-Computer Interaction, Computational Mechanics and Geology, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (7 papers), Advanced Vision and Imaging (3 papers), Leaf Properties and Growth Measurement (2 papers), 3D Shape Modeling and Analysis (2 papers), Greenhouse Technology and Climate Control (2 papers), Interactive and Immersive Displays (2 papers), Computational Geometry and Mesh Generation (2 papers) and Human Motion and Animation (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (911 citations), Computer Vision and Pattern Recognition (952 citations), Computational Mechanics (416 citations), Geology (74 citations) and Human-Computer Interaction (53 citations). Ned Greene has collaborated with scholars based in United States and Israel. Frequent co-authors include Michael D. Kass, Gavin Miller, Paul S. Heckbert, Peter C. Litwinowicz, Nelson Max, Jane P. Wilhelms and Alex Pang. Their work appears in journals such as IEEE Computer Graphics and Applications, ACM SIGGRAPH Computer Graphics and Elsevier eBooks.
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.