Donald H. House
- Computer Graphics and Computer-Aided Design top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Computational Mechanics top 1%
- Human-Computer Interaction top 2%
- Control and Systems Engineering top 5%
- Co-authors
- David E. BreenMichael J. WoznyJohn KeyserCem YukselNikolai BogdukGR JohnsonAndrew T. DuchowskiMichael K. Lindell
- Topics
- Computer Graphics and Visualization Techniques (27 papers)3D Shape Modeling and Analysis (18 papers)Visual perception and processing mechanisms (10 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignHuman-Computer InteractionComputer Vision and Pattern Recognition
- Partner nations
- United StatesPolandGermany
In The Last Decade
Donald H. House
69 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 131
- Computer Graphics and Computer-Aided Design 702
- Computer Vision and Pattern Recognition 690
- Computational Mechanics 641
- Human-Computer Interaction 219
- Control and Systems Engineering 200
Countries citing papers authored by Donald H. House
This map shows the geographic impact of Donald H. House'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 Donald H. House with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald H. House more than expected).
Fields of papers citing papers by Donald H. House
This network shows the impact of papers produced by Donald H. House. 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 Donald H. House. The network helps show where Donald H. House may publish in the future.
Co-authorship network of co-authors of Donald H. House
This figure shows the co-authorship network connecting the top 25 collaborators of Donald H. House. A scholar is included among the top collaborators of Donald H. House 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 Donald H. House. Donald H. House is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 88 | |
| 5 | 13 | |
| 6 | Proceedings of the symposium on Computational Aesthetics | 0 |
| 7 | 27 | |
| 8 | 48 | |
| 9 | 21 | |
| 10 | 12 | |
| 11 | Image Recoloring Induced by Palette Color Associations | 39 |
| 12 | 0 | |
| 13 | 72 | |
| 14 | 67 | |
| 15 | Particle representation of woven fabrics | 1 |
| 16 | 38 | |
| 17 | 23 | |
| 18 | 2 | |
| 19 | 210 | |
| 20 | 4 |
About Donald H. House
Donald H. House is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Architecture, having authored 74 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (27 papers), 3D Shape Modeling and Analysis (18 papers) and Visual perception and processing mechanisms (10 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (702 citations), Human-Computer Interaction (219 citations) and Computer Vision and Pattern Recognition (690 citations). Donald H. House has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include David E. Breen, Michael J. Wozny, John Keyser, Cem Yuksel, Nikolai Bogduk, GR Johnson, Andrew T. Duchowski, Michael K. Lindell, Colin Ware and Sarah H. Creem-Regehr. Their work appears in journals such as ACM Transactions on Graphics, ACM Computing Surveys and Automation in Construction.
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.