Dan Maynes-Aminzade
- Human-Computer Interaction top 1%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Mechanical Engineering
- Sociology and Political Science
- Co-authors
- Gian PangaroHiroshi IshiiRandy PauschSteve SeitzDaniel BillsusTerry WinogradTakeo IgarashiDavid M. Hilbert
- Topics
- Interactive and Immersive Displays (6 papers)Augmented Reality Applications (6 papers)Tactile and Sensory Interactions (2 papers)
- Journals
- ACM Transactions on Graphics
- Partner nations
- United StatesJapan
In The Last Decade
Dan Maynes-Aminzade
10 papers receiving 398 citations
Peers
Comparison fields: 5 of 55
- Human-Computer Interaction 293
- Computer Vision and Pattern Recognition 208
- Cognitive Neuroscience 161
- Mechanical Engineering 58
- Sociology and Political Science 41
Countries citing papers authored by Dan Maynes-Aminzade
This map shows the geographic impact of Dan Maynes-Aminzade'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 Dan Maynes-Aminzade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Maynes-Aminzade more than expected).
Fields of papers citing papers by Dan Maynes-Aminzade
This network shows the impact of papers produced by Dan Maynes-Aminzade. 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 Dan Maynes-Aminzade. The network helps show where Dan Maynes-Aminzade may publish in the future.
Co-authorship network of co-authors of Dan Maynes-Aminzade
This figure shows the co-authorship network connecting the top 25 collaborators of Dan Maynes-Aminzade. A scholar is included among the top collaborators of Dan Maynes-Aminzade 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 Dan Maynes-Aminzade. Dan Maynes-Aminzade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | Edible Bits: Seamless Interfaces between People, Data and Food | 16 |
| 3 | 42 | |
| 4 | 66 | |
| 5 | The Actuated Workbench: Computer-Controlled Actuation in Tabletop Tangible Interfaces | 13 |
| 6 | 104 | |
| 7 | 7 | |
| 8 | 128 | |
| 9 | 13 | |
| 10 | 2 |
About Dan Maynes-Aminzade
Dan Maynes-Aminzade is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 10 papers that have together received 434 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (6 papers), Augmented Reality Applications (6 papers) and Tactile and Sensory Interactions (2 papers). The work is most often cited by research in Human-Computer Interaction (293 citations), Computer Vision and Pattern Recognition (208 citations) and Cognitive Neuroscience (161 citations). Dan Maynes-Aminzade has collaborated with scholars based in United States and Japan. Frequent co-authors include Gian Pangaro, Hiroshi Ishii, Randy Pausch, Steve Seitz, Daniel Billsus, Terry Winograd, Takeo Igarashi, David M. Hilbert, Paul Dietz and Ramesh Raskar. Their work appears in journals such as ACM Transactions on Graphics.
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.