David Haumann
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Geometry and Mesh Generation
- Computational Mechanics top 2%
- 3D Shape Modeling and Analysis
- Advanced Numerical Analysis Techniques
Papers in ⓘ
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- Human Motion and Animation 7
- Robotic Mechanisms and Dynamics 1
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- 3D Shape Modeling and Analysis 6
- Advanced Numerical Analysis Techniques 1
- Co-authors
- Richard E. Parent (3 shared papers)Jakub Wejchert (2 shared papers)Alan Norton (1 shared paper)Robert Bacon (1 shared paper)Greg Turk (1 shared paper)Arvin S. Glicksman (1 shared paper)
- Journals
- The Visual Computer (1 paper)ACM SIGGRAPH Computer Graphics (2 papers)Computer Programs in Biomedicine (1 paper)OhioLink ETD Center (Ohio Library and Information Network) (1 paper)
- Partner nations
- United States
In The Last Decade
David Haumann
8 papers receiving 500 citations
Peers
Comparison fields: 5 of 52
- Computer Graphics and Computer-Aided Design 316
- Computational Mechanics 399
- Control and Systems Engineering 309
- Computer Vision and Pattern Recognition 220
- Geology 18
Countries citing papers authored by David Haumann
This map shows the geographic impact of David Haumann'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 Haumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Haumann more than expected).
Fields of papers citing papers by David Haumann
This network shows the impact of papers produced by David Haumann. 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 Haumann. The network helps show where David Haumann may publish in the future.
Co-authors
The 6 scholars most cited alongside David Haumann, 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 | 1989 | 254 | |
| 2 | 1989 | 123 | |
| 3 | 1991 | 98 | |
| 4 | 1988 | 47 | |
| 5 | 1991 | 43 | |
| 6 | 1979 | 3 | |
| 7 | 1991 | 3 | |
| 8 | Using behavioral simulation to animate complex processes | 1989 | 1 |
About David Haumann
David Haumann is a scholar working on Control and Systems Engineering, Computational Mechanics, Computer Graphics and Computer-Aided Design, Artificial Intelligence and Infectious Diseases, having authored 8 papers that have together received 572 indexed citations. Recurring topics across this work include Human Motion and Animation (7 papers), 3D Shape Modeling and Analysis (6 papers), Computer Graphics and Visualization Techniques (4 papers), Robotic Mechanisms and Dynamics (1 paper), Artificial Intelligence in Games (1 paper), Advanced Numerical Analysis Techniques (1 paper) and Multi-Agent Systems and Negotiation (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (316 citations), Computational Mechanics (399 citations), Control and Systems Engineering (309 citations), Computer Vision and Pattern Recognition (220 citations) and Geology (18 citations). David Haumann has collaborated with scholars based in United States. Frequent co-authors include Richard E. Parent, Jakub Wejchert, Alan Norton, Robert Bacon, Greg Turk and Arvin S. Glicksman. Their work appears in journals such as The Visual Computer, ACM SIGGRAPH Computer Graphics, Computer Programs in Biomedicine and OhioLink ETD Center (Ohio Library and Information Network).
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.